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CAD System for the Assistance of Comparative Reading for Lung Cancer Using Serial Helical CT Images.

, , , , , , , , , , , and . MICCAI, volume 2208 of Lecture Notes in Computer Science, page 1388-1390. Springer, (2001)

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Computer-Aided Diagnostic System for Pulmonary Nodules Using Helical CT Images., , , , , , , , and . MICCAI, volume 1496 of Lecture Notes in Computer Science, page 449-456. Springer, (1998)Analysis of Pulmonary Nodule Evolutions Using a Sequence of Three-Dimensional Thoracic CT Images., , , , , , , , , and . MICCAI, volume 2208 of Lecture Notes in Computer Science, page 103-110. Springer, (2001)Computerized analysis of 3-D pulmonary nodule images in surrounding and internal structure feature spaces., , , , , , , , , and . ICIP (2), page 889-892. IEEE, (2001)Extraction of Pulmonary Fissures from Thin-Section CT Images Using Calculation of Surface-Curvatures and Morphology Filters., , , , , , , , , and 1 other author(s). ICIP, page 637-640. IEEE, (2000)Computer-aided classification of pulmonary nodules in surrounding and internal feature spaces using three-dimensional thoracic CT images., , , , , , , , , and . Medical Imaging: Image Processing, volume 4684 of SPIE Proceedings, SPIE, (2002)Detection algorithm of lung cancer candidate nodules on multislice CT images., , , , , , , , , and 2 other author(s). Medical Imaging: Image Processing, volume 4684 of SPIE Proceedings, SPIE, (2002)Computer-aided diagnosis system for lung cancer based on retrospective helical CT image., , , , , , , , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)Tracking interval changes of pulmonary nodules using a sequence of three-dimensional thoracic images., , , , , , , , , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)Quantitative analysis of internal texture for classification of pulmonary nodules in three-dimensional thoracic images., , , , , , , , , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)Pulmonary nodule segmentation in thoracic 3D CT images integrating boundary and region information., , , , , , , , , and . Medical Imaging: Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)