日本CT検診学会 - Engineering Technology

Engineering Technology

Yamada N, Kubo M, Kawata Y, et al. ROI extraction of chest CT images using adaptive fuzzy clustering. SPIE Medical Imaging, to appear, 2003
Takeda Y, Tamaru M, Kubo M, et al. CAD system for lung cancer CT screening. SPIE Medical Imaging, to appear, 2003
Kubo M, Yamada N, Kawata Y, et al. CAD system for lung cancer screening using low-dose single-slice CT images. SPIE Medical Imaging, to appear, 2003
Kawata Y, Niki N, Ohmatsu H, et al. Pulmonary nodule segmentation in thoracic 3-D CT images integrating boundary and region information. SPIE Medical Imaging, to appear, 2003
Kawata Y, Niki N, Ohmatsu H, et al. A visual data-mining approach using 3-D thoracic CT images for classification between benign and malignant pulmonary nodules. SPIE Medical Imaging, to appear, 2003
Oda T, Kubo M, Kawata Y, et al. A computer-aided diagnosis system for lung cancer screening based on multi-slice CT images. RSNA, Vol. 225 (p), pp.750, 2002
Saita S, Kawata Y, Niki N, et al. Volumetric segmentation of lung lobes on multi-slice CT images. RSNA, Vol. 225 (p), pp.499, 2002
Sammouda M, Sammouda R, Niki N, et al. Cancerous nuclei detection on digitized pathological lung color images. Journal of Biomedical Informatics, Vol.35, pp.92-98, 2002
Kawata Y, Niki N, Ohmatsu H, et al. Example-based assisting approach for pulmonary nodule classification in 3-D thoracic CT images . Lecture Notes in Computer Science: Medical Image Computing and Computer-Assisted Intervention, Vol.2488, pp.793-800, 20
Kawata Y, Niki N, Ohmatsu H, et al. Three-dimensional CT image retrieval in a database of pulmonary nodules. IEEE Int. Conf. on Image Processing, Vol. III, pp.149-152, 2002
Kawata Y, Niki N, Ohmatsu H, et al. Searching similar images for classification of pulmonary nodules in three-dimensional CT images. IEEE Int. Symposium on Biomedical Imaging, pp. 189-192, 2002
Kawata Y, Niki N, Ohmatsu H, et al. Three-dimensional computer-aided diagnosis schemes for classification of benign and malignant pulmonary nodules. CARS, pp.764-769, 2002
Niki N, Kawata Y, Kubo M, et al. A CAD system for lung cancer based on 3D CT images. CARS, pp.701-705, 2002
Oda T, Kubo M, Kawata Y, et al. A detection algorithm of lung cancer candidate nodules on multi-slice CT images. SPIE Medical Imaging, Vol.4684, pp.1354-1361, 2002
Ichikawa W, Kawata Y, Niki N, et al. Classification experiments of pulmonary nodules using high resolution CT images. SPIE Medical Imaging, Vol.4684, pp.1280-1291, 2002
Mukaibo T, Kawata Y, Niki N, et al. Classification of lung area using multidetector-row CT images. SPIE Medical Imaging, Vol.4684, pp.1292-1300, 2002
Kubota K, Kubo M, Kawata Y, et al. Clinical test in a prospective study a CAD system for lung cancer based on helical CT images. SPIE Medical Imaging, Vol.4684, pp.1270-1279, 2002
Kubo M, Kubota K, Kawata Y, et al. A CAD system for lung cancer based on low dose single-slice CT images. Proc. SPIE Medical Imaging, Vol.4684, pp.1262-1269, 2002
Kawata Y, Niki N, Ohmatsu H, et al. Computer-aided classification of pulmonary nodules in surrounding and internal feature spaces using three-dimensional thoracic CT images. SPIE Medical Imaging, Vol.4684, pp.704-715, 2002
Kawata Y, Niki N, Ohmatsu H, et al. Visualization of interval changes of pulmonary nodules using high-resolution CT images. IEICE Trans. Inf. & Syst., Vol. E85-D1, pp.77-87, 2002
Takizawa H, Yamamoto S, Matsumoto T, et al. Recognition of lung nodules from X-ray CT images using 3D Markov random field models. 16th International Conference on Pattern Recognition (ICPR'2002), 1051-4651/02 (CD-ROM), 2002.
Miwa T, Kako J, Yamamoto S, et al. Automatic detection of lung cancers in chest CT images by the variable N-Quoit filter. Systems and Computers in Japan, Vol.33, No.1, pp.53-63, 2002.
Ezoe T, Takizawa H, Yamamoto S, et al. Detection method of ground glass opacities from chest X-ray CT images. Progress in Biomedical Optics and Imaging, Vol.3, No.22, Medical Imaging 2002, Image Processing, Proc. of SPIE, Vol.4684, pp.1672-1680, 2002.
Takizawa H, Yamamoto S, Matsumoto T, et al. Recognition of lung nodules from X-ray CT images using 3D Markov random field models. Progress in Biomedical Optics and Imaging, Vol.3, No.22, Medical Imaging 2002, Image Processing, Proc. of SPIE, Vol.4684, pp.716-725, 2002.2
Takizawa H, Yamamoto S, Matsumoto T, et al. A detection method of ground-glass opacities from Chest X-ray CT images. Computer Assisted Radiology and Surgery (CARS2002), pp.1097 2002.
Emoto H, Yamamoto S, Matsumoto M. et al. Network based CAD system for lung cancer screening by X-ray CT. Computer Assisted Radiology and Surgery (CARS2002), pp.723-728 2002.
Shigemoto K, Takizawa H, Yamamoto S, et al. An efficient recognition method of lung nodules from X-ray CT images using 3D object models. Computer Assisted Radiology and Surgery (CARS2002), pp.717-722, 2002.
Kubo M, Kubota K, Kawata Y, et al. CAD system for lung cancer screening using low dose single-slice CT. RSNA, Vol. 221 (P), p.165, 2001
Kawata Y, Niki N, Ohmatsu H, et al. Potential usefulness of hybrid classification of malignant and benign pulmonary nodules in three-dimensional CT images. RSNA 2001, Vol. 221 (P), pp.157-158, 2001
Kubo M, Yamamoto T, Kawata Y, et al. CAD system for the assistance of comparative reading for lung cancer using serial helical CT images. Lecture Notes in Computer Science: Me dical Image Computing and Computer-Assisted Intervention, Vol.2208, pp.1388-
Kawata Y, Niki N, Ohmatsu H, et al. Computer-aided diagnosis of pulmonary nodules using three-dimensional thoracic CT images. Lecture Notes in Computer Science: Medical Image Computing and Computer-Assisted Intervention, Vol.2208, pp.1393-1394, 2001
Kawata Y, Niki N, Ohmatsu H, et al. Analysis of pulmonary nodule evolution using a sequence of three-dimensional thoracic CT images. Lecture Notes in Computer Science: Medical Image Computing and Computer-Assisted Intervention, Vol.2208, pp.103-110, 20
Mukaibo T, Kawata Y, Niki N, et al. Classification of pulmonary blood vessels using multidetector-row CT images. IEEE Int. Conf. on Image Processing, Vol. , pp.841-844, 2001
Kubota K, Kubo M, Kawata Y, et al. The results in the clinical trial of CAD system for lung cancer using helical CT images. IEEE Int. Conf. on Image Processing, Vol. I, pp.313-316, 2001
Minami K, Kawata Y, Niki N, et al. Computerized characterization of contrast enhancement patterns for classifying pulmonary nodules. IEEE Int. Conf. on Image Processing, Vol. II, pp.897-900, 2001
Kubo M, Kawata Y, Niki N, et al. Automatic extraction of pulmonary fissures from multidetector-row CT images. IEEE Int. Conf. on Image Processing, Vol. III, pp.1091-1094, 2001
Kawata Y, Niki N, Ohmatsu H, et al. Computerized analysis of 3-D pulmonary nodule images in surrounding and internal structure features. IEEE Int. Conf. on Image Processing, Vol. II, pp.889-892, 2001
Niki N, Kawata Y, Fujita M, et al. Lung nodule imaging using micro CT. International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, pp. 165-168, 2001
Niki N, Kawata Y, Fujita M, et al. Lung nodule imaging using micro CT Proc. High resolution imaging in small animals: Instrumentation, applications and animal handling, pp. 200-202, 2001
Niki N, Kawata Y, Fujita M, et al. Lung nodule imaging using micro CT. Joint symposium on bio-sensing and bio-imaging, Vol.4322, pp.718-725, 2001
Kubo M, Yamamoto T, Kawata Y, et al. CAD system to support comparative reading for lung cancer based on helical CT images. CARS, pp. 576-580, 2001
Niki N, Kawata Y, Kubo M, et al. A CAD system for lung cancer based on CT image. CARS, pp. 593-598, 2001
Sammouda M, Niki N, Niki T, et al. Tissue color images segmentation and analysis for automated diagnostic of adenocarcinoma of the lung. SPIE Medical Imaging, Vol.4322, pp.1666-1676, 2001
Minami K, Takagi N, Kubo M, et al. Computerized characterization of contrast enhancement patterns for classifying pulmonary nodules based on dynamic CT images. SPIE Medical Imaging, Vol.4322, pp.1936-1943, 2001
Kubota K, Kubo M, Kawata Y, et al. The clinical test results of computer aided detection system for lung cancer using helical CT images. SPIE Medical Imaging, Vol.4322, pp.1902-1911, 2001
Kubo M, Niki N, Eguchi K, et al. CAD System for the assistance of comparative reading for lung cancer using retrospective helical CT images. SPIE Medical Imaging, Vol.4322, pp.1788-1795, 2001
Kawata Y, Niki N, Ohmatsu H, et al. Analysis of evolving process in pulmonary nodules using a sequence of three-dimensional thoracic images. SPIE Medical Imaging, Vol.4322, pp.1890-1901, 2001
Kawata Y, Niki N, Ohmatsu H, et al. Computer-aided differential diagnosis of pulmonary nodules based on a hybrid classification approach. SPIE Medical Imaging, Vol.4322, pp.1796-1806, 2001
Niki N, Kawata Y, Minami K, et al. Image analysis of pulmonary nodules using micro CT. SPIE Medical Imaging, Vol.4322, pp.718-725, 2001
Satoh H, Ukai Y, Niki N, et al. Computer-Aided Diagnosis System for Comparative Reading of Helical CT Images for the Detection of Lung Cancer. IEICE Transactions on Information and Systems, Vol. E84-D1 pp.161-170, 2001
Takizawa H, Yamamoto S, Matsumoto T, et al. Recognition of lung nodules from X-ray CT images using 3D MRF models. Proceedings of the 15th International Congress and Exhibition (CARS2001), Computer Assisted Radiology and Surgery, pp.570-575, 2001.
Yamamoto S, Takizawa H, Jiang H, et al. A CAD system for lung cancer screening test by X-ray CT. Proceedings of the 15th International Congress and Exhibition (CARS2001), Computer Assisted Radiology and Surgery, pp.605-610, 2001.
Kawata Y, Niki N, Ohmatsu H, et al. Differential geometry based vector fields for characterizing surrounding structures of pulmonary nodules. Medical Image Computing and Computer-Assisted Intervention, pp.349-357, 2000
Kawata Y, Niki N, Ohmatsu H, et al. Hybrid classification approach of malignant and benign pulmonary nodules based on topological and histogram features. Medical Image Computing and Computer-Assisted Intervention, pp.297-306, 2000
Kawata Y, Niki N, Ohmatsu H, et al. Surrounding structures analysis of pulmonary nodules using differential geometry based vector fields. IEEE Int. Conf. Image Processing, Vol.3, pp.424-427, 2000
Kubo M, Niki N, Eguchi K, et al. Extraction of pulmonary fissures from thin-section CT images using calculation of surface curvatures analysis and morphology filters. IEEE Int. Conf. Image Processing, Vol.2, pp.637-640, 2000
Sammouda M, Niki N, Niki T, et al. Analysis of color images of tissues derived from patients with adenocarcinoma of the lung. IEEE Int. Conf. Image Processing, Vol.1, pp.192-195, 2000
Takagi N, Kawata Y, Niki N, et al. Computerized characterization of contrast enhancement patterns for classifying pulmonary nodules. IEEE Int. Conf. Image Processing, Vol.1, pp.188-191, 2000
Yamamoto T, Ukai Y, Kubo M, et al. Computer aided diagnosis system with functions to assist comparative reading for lung cancer based on helical CT image. IEEE Int. Conf. Image Processing, Vol.1, pp.180-183, 2000
Kawata Y, Niki N, Ohmatsu H, et al. Internal structure analysis of pulmonary nodules in topological and histogram feature spaces. IEEE Int. Conf. Image Processing, Vol.1, pp.168-171, 2000
Kawata Y, Niki N, Ohmatsu H, et al. Computerized analysis of pulmonary nodules in topological and histogram feature spaces. Int. Conf. on Pattern Recognition, Vol.4, pp.332-335, 2000
Kubo M, Niki N, Eguchi K, et al. Extraction of pulmonary fissures from HRCT images based on surface curvatures analysis and morphology filters. Int. Conf. on Pattern Recognition, Vol.1, pp.490-493, 2000
Ukai Y, Niki N, Satoh H, et al. Computer aided diagnosis system for lung cancer based on retrospective helical CT image. CARS, pp.767-772, 2000
Ukai Y, Niki N, Satoh H, et al. Computer-aided diagnosis system for lung cancer based on retrospective helical CT image. SPIE Medical Imaging, Vol.3979, pp.1028-1039, 2000
Kawata Y, Niki N, Ohmatsu H, et al. Quantitative analysis of internal texture for classification of pulmonary nodules in three-dimensional thoracic images. SPIE Medical Imaging, Vol.3979, pp.863-871, 2000
Kawata Y, Niki N, Ohmatsu H, et al. Tracking interval changes of pulmonary nodules using a sequence of three-dimensional thoracic images. SPIE Medical Imaging, Vol.3979, pp.86-96, 2000
Tanaka A, Tozaki T, Kawata Y, et al. Quantitative analysis for differential diagnosis of lung cancer on blood vessel connectivity using thoracic 3D CT images. SPIE Medical Imaging, Vol.3978, pp.94-101, 2000
Takagi N, Kawata Y, Niki N, et al. Computerized characterization of contrast enhancement patterns for classifying pulmonary nodules. SPIE Medical Imaging, Vol.3978, pp.84-93, 2000
Takizawa H, Yamamoto S, Fukano G, et al. Recognition of lung cancers from X-ray CT images considering 3-D structure of objects and uncertainty of recognition. SPIE (Society of Photo-Optical Instrumentation Engineers)'s International Symposium Proc. of Image Processing, part of SPIE's Medical Imaging 2000, Vol.1, No.24 (SPIE Vol.3979), pp.998-1007, 2000.
Jiang H, Masuto N, Nishimura O, et al. Support system for lung cancer screening by CT. SPIE (Society of Photo-Optical Instrumentation Engineers)'s International Symposium Conference on SPIE Medical Imaging 2000, Vol.1 No.21 (SPIE Vol.3976) pp.386-393, 2000.
Takizawa H, Fukano G, Yamamoto S, et al. Recognition of lung nodules from X-Ray CT images considering 3-D Structure of objects and uncertainty of recognition. Medical Physics, Vol.27, No.6, CD-ROM, 2000.
Takagi N, Kawata Y, Niki N, et al. 3D Anarysis of Solitary Pulmonary Nodules Baced on Contrast Enhanced Dynamic CT. IEEE Int. Conf. on Image Processing, Vol.3, pp.416-420, 1999
Tanaka A, Tozaki T, Kawata Y, et al. Pulmonary Organs Analysis Method and Its Evaluation Based on Thoracic Thin-section CT Images. IEEE Int. Conf. on Image Processing, Vol.3, pp.421-425, 1999
Kawata Y, Niki N, Ohmatsu H, et al. Classification of pulmonary nodules in thin-section CT images by using mulit-scale curvature indexes. IEEE Int. Conf. on Image Processing, Vol.2, pp.197-201, 1999
Kawata Y, Niki N, Ohmatsu H, et al. Computer aided differential diagnosis of pulmonary nodules using curvature based analysis. Int. Conf. on Image Analysis and Processing, pp.470-475, 1999
Tanaka A, Tozaki T, Kawata Y, et al. Pulmonary Organs Analysis Method and Its Evaluation Based on Thoracic Thin-section CT Images. Medical Image Computing and Computer Assisted Intervention, Lecture Notes in Computer Science, Vol.1679, pp.394-401, 1999
Kawata Y, Niki N, O. Ohmatsu, et al. Potential usefulness of curvature based description for differential diagnosis of pulmonary nodules. Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, Vol.1679, pp.386-39
Kawata Y, Niki N, Ohmatsu H, et al. Curvature based characterization of shape and internal intensity structure for classification of pulmonary nodules using thin-section CT images. SPIE Medical Imaging, Vol.3661, pp.541-552, 1999
Satou H, Niki N, Ohmatsu H, et al. Computer aided diagnosis system for lung cancer based on retrospective helical CT images. SPIE Medical Imaging, Vol.3661, pp.1324-1335, 1999
Ukai Y, Niki N, Satoh H, et al. A CAD-system for coronary calcifications based on helical CT images. SPIE Medical Imaging, Vol.3661, pp.1315-1323, 1999
Taguchi H, Niki N, Satoh H, et al. Lung Cancer Detection Based on Helical CT Images Using Curved Surface Morphology. SPIE Medical Imaging, Vol.3661, pp.1307-1314, 1999
Tanaka A, Tozaki T, Kawata Y, et al. Pulmonary organs analysis method and its application based on thoracic thin-section CT images. SPIE Medical Imaging, Vol.3661, pp.1299-1306, 1999
Kubo M, Niki N, Eguchi K, et al. Extraction Algorithm of Pulmonary Fissures from Thin-section CT Images Based on Linear Feature Detector Method. IEEE Trans. on Nuclear Science, Vol.46(6), pp.2128-2133, 1999
Tozaki T, Kawata Y, Niki N, et al. Pulmonary Organs Analysis for Differential Diagnosis Based on Thoracic Thin-section CT Images. IEEE Trans. on Nuclear Science, Vol.45(6), pp.3075-3082, 1998
Kanazawa K, Kawata Y, Niki N, et al. Computer-aided diagnosis for pulmonary nodules based on helical CT images. Computerizes Medical Imaging & Graphics, Vol.22, pp.157-167, 1998
Sammouda R, Niki N, Nishitani H, et al. Segmentation of Sputum Color Image for Lung Cancer Diagnosis Based on Neural Networks. IEICE Trans. Inf. & Syst, Vol. E81-D(8), pp.862-871, 1998
Kawata Y, Niki N, Ohmatsu H, et al. Quantitative Surface Characterization of Pulmonary Nodules Based on Thin-Section CT Images. IEEE Trans. on Nuclear Science, Vol.45(4), pp.2132-2138, 1998
Kanazawa K, Niki N, Ohmatsu H, et al. Computer-aided diagnostic system for pulmonary nodules using helical CT images. 1st Int. Conf. on Medical Image Computing & Computer-Assisted Intervention, pp. 449-456, 1998
Kawata Y, Niki N, Ohmatsu H, et al. Curvature Based Analysis of Internal Structure of Pulmonary Nodules Using Thin-section CT Images. IEEE Int. Conf. on Image Processing, Vol.3, pp.851-855, 1998
Shimazu M, Niki N, Ohmatsu H, et al. Detection Algorithm of Interval Change using 3D Thoracic Images. 1st. Int. Workshop on Computer-Aided Diagnosis, Vol. ICS1182, pp.149-154, 1998
Tozaki T, Kawata Y, Niki N, et al. Pulmonary Structure Analysis and its Application based on Thoracic Thin-Section CT Images. 1st. Int. Workshop on Computer-Aided Diagnosis, Vol. ICS1182, pp.143-148, 1998
Kubo M, Nakagawa S, Yamaguchi N, et al. Algorithm for Lobar Extraction using Line Feature Detector. 1st. Int. Workshop on Computer-Aided Diagnosis, Vol. ICS1182, pp.155-158, 1998
Kawata Y, Niki N, Ohmatsu H, et al. Curvature Based Approach for Computer-Aided Diagnosis of Pulmonary Nodules using Thin-Section CT Images. 1st. Int. Workshop on Computer-Aided Diagnosis, Vol. ICS1182, pp.137-142, 1998
Kanazawa K, Niki N, Ohmatsu H, et al. Computer Aided Diagnosis System for Pulmonary Nodules based on Helical CT Images. 1st. Int. Workshop on Computer-Aided Diagnosis, Vol., pp. 131-136, 1998
Ukai Y, Niki N, Satoh H, et al. Computer Assisted Diagnosis System for Coronary Calcifications Based on Helical CT Images. 1st Int. Workshop on Computer-Aided Diagnosis, Vol. ICS1182, pp.351-356, 1998
Kanazawa K, Kawata Y, Niki N, et al. Computer-Aided Diagnosis for Pulmonary Nodules Based on Helical CT Images. ICPR98, Vol. , pp.1683-1685, 1998
Kawata Y, Niki N, Ohmatsu H, et al. Curvature Based Analysis of Pulmonary Nodules Using Thin-Section CT Images. ICPR98, Vol. , pp.361-363, 1998
Ukai Y, Niki N, Satoh H, et al. A Coronary Calcification Diagnosis System Based on Helical CT Images. SPIE Midical Imaging, Vol.3338, pp.1482-1489, 1998
Tozaki T, Kawata Y, Niki N, et al. Pulmonary organs analysis method and its application to differential diagnosis using thoracic Thin-section CT images. SPIE Medical Imaging, Vol.3338, pp.1459-1469, 1998
Shimazu M, Niki N, Ohmatsu H, et al. A Lapse Observation Algorithm for Lung Cancer Detection Using 3D Thoracic Helical CT Images. SPIE Medical Imaging, Vol.3338, pp.1403-1410, 1998
Kawata Y, Niki N, Ohmatsu H, et al. Computer-aided Diagnosis of Pulmonary Nodules Based on Shape Analysis using Thin-section CT Images. SPIE Medical Imaging, Vol.3338, pp1076-1086, 1998
Okumura T, Miwa T, Kako J, et al. Image processing for computer-aided diagnosis of lung cancer screening system by CT. SPIE's of International Symposium (SPIE'98) Conference on SPIE Medical Imaging'98 Vol.3338, pp.1314-1322,1998.
Jiang H, Masuto N, Yamamoto S, et al. A GUI system for computer-aided diagnosis of lung cancer screening by using CT. Computer Assisted Radiology and Surgery (CAR'98), pp.236-241,1998.
Okumura T, Miwa T, Kako J, et al. Variable N-Quoit filter applied for automatic detection of lung cancer by X-ray CT. Computer Assisted Radiology and Surgery (CAR'98), pp.242-247, 1998.
Okumura T, Miwa T, Kako J, et al. Automatic detection of lung cancers in chest CT images by variable N-Quoit filter. Proceedings of the 14th International Conference on Pattern Recognition, Volume II pp.1671-1673,1998.
Jiang H, Yamamoto S, Iisaku S, et al. Computer-aided diagnosis system for lung cancer screening by CT. Proceedings of the First International Workshop on Computer-Aided Diagnosis, pp.125-130,1998.
Kubo M, Tozaki T, Niki N, et al. Bias Field Correction of Chest Thin Section CT Images. IEEE Int. Conf. on Image Processing, Vol. III, pp.551-554, 1997
Kawata Y, Niki N, Ohmatsu H, et al. Classification of Pulmonary Nodules in Thin-section CT Images Based on Shape Characterization. IEEE Int. Conf. on Image Processing, Vol. III, pp.528-530, 1997
Sammouda R, Niki N, Nishitani H, et al. Segmentation of Sputum Color Image for Lung Cancer Diagnosis Based on Neural Networks. IEEE Int. Conf. on Image Processing, Vol. III, pp.243-246, 1997
Sammouda R, Niki N, Nishitani H, et al. Segmentation of Sputum Color Image for Lung Cancer Diagnosis Based on Neural Networks. Lecture Notes in Computer Science, Image Analysis and Processing, Vol.1311, pp.461-468, 1997
Kawata Y, Kanazawa K, Toshioka S, et al. Computer Aided Diagnosis System for Lung Cancer Based on Helical CT Images. Lecture Notes in Computer Science, Image Analysis and Processing, Vol.1311, pp.420-427, 1997
Toshioka S, Kanazawa K, Niki N, et al. Computer Aided Diagnosis System for Lung Cancer Based on Helical CT Images. SPIE Medical Imaging, Vol.3034, pp.975-984, 1997
Kawata Y, Niki N, Ohmatsu H, et al. Shape Analysis of Pulmonary Nodules Based on Thin-Section CT Images. SPIE Medical Imaging, Vol.3034, pp.964-974, 1997
Sammouda R, Niki N, Nishitani H, et al. Unsupervised Sputum Color Image Segmentation for Lung Cancer Diagnosis based on Hopfield Neural Network. SPIE Medical Imaging, Vol.3034, pp.889-899, 1997
Kanazawa K, Kubo M, Niki N, et al. Computer Aided Screening System for Lung Cancer Based on Helical CT Images. Visualization in Biomedical Computing, Lecture Notes in Computer Science 1131, pp.223-228, 1996
Tozaki T, Kawata Y, Niki N, et al. 3D Image Analysis of the Lung Area Using Thin Section CT Images and Its Application to Differential Diagnosis. IEEE Int. Conf. on Image Processing, Vol. II, pp.281-284, 1996
Kanazawa K, Kubo M, Niki N, et al. Computer Aided Diagnosis System for Lung Cancer Based on Helical CT Images. Int. Conf. on Pattern Recognition, Vol. III, pp.381-385, 1996
Ukai Y, Niki N, Satoh H, et al. An Algorithm for Coronary Calcification Diagnosis Based on Helical CT Images. Int. Conf. on Pattern Recognition, Vol. III, pp.543-557, 1996
Tozaki T, Kawata Y, Niki N, et al. Three-dimensional Analysis of lung area using thin slice CT images. Int. Conf. on Pattern Recognition, Vol. III, pp.548-552, 1996
Tozaki T, Kawata Y, Niki N, et al. Three-dimensional Analysis of lung area using thin slice CT images. SPIE Medical Imaging, Vol.2709, pp.2-11, 1996
Yamamoto S, Matsumoto M, Tateno Y, et al. Quoit filter - a new filter based on mathematical morphology to extract the isolated shadow, and its application to automatic detection of lung cancer in X-ray CT. Proceedings of the 13th International Conference on Pattern Recognition Volume II pp.3-7, 1996.
Yamamoto S, Jiang H, Matsumoto M, et al. Image processing for computer-aided diagnosis of lung cancer by CT. Proceedings of the Third IEEE Workshop on Applications of Computer Vision (WACV '96) pp.236-241, 1996.
Kubo M, Kanazawa K, Niki N, et al. Computer Assisted Screening for Lung Cancer Based on Helical CT Images. IEEE Medical Imaging Conf, Vol.3, pp.1612-1616, 1995
Kanazawa K, Kubo M, Niki N, et al. Computer-Assisted Lung Cancer Diagnosis Based on Helical CT Images of Mass Screening. CAR, pp.365-374, 1995
Kanazawa K, Kubo M, Niki N, et al. Computer Assisted Lung Cancer Diagnosis Based on Helical X-ray CT Images. Int. Comp. Science Conf, Lecture Notes in Computer Science, Vol.1024, pp.323-330, 1995
Niki N, Kanazawa K, Kubo M, et al. Computer Assisted Diagnosis of Lung Cancer Using Helical X-ray CT. IEEE Medical Imaging Conf, pp.1475-1479, 1994
Tozaki T, Niki N, Kawata Y, et al. 3D Visualization of Blood Vessels and Tumor in Lung Area Using Thin Slice CT images. IEEE Medical Imaging Conf, pp.1470-1474, 1994
Kanazawa K, Niki N, Satoh H, et al. Computer Assisted Diagnosis of Lung Cancer Using Helical X-ray CT. IEEE Workshop on Biomedical Image Analysis, pp.261-267, 1994
Yamamoto S, Tanaka I, Senda M, et al. Image processing for computer-aided diagnosis of lung cancer by CT. Systems and Computers in Japan, 1994; 25:67-80.

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