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Spatiotemporal Density Feature Analysis to Detect Liver Cancer from Abdominal CT Angiography.

Y. Mekada, Y. Wakida, Y. Hayashi, I. Ide, and H. Murase. ACCV (2), volume 3852 of Lecture Notes in Computer Science, page 702-711. Springer, (2006)

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Detection of small nodules from 3D chest X-ray CT images based on shape features.Y. Mekada, T. Kusanagi, Y. Hayase, K. Mori, J. ichi Hasegawa, J. ichiro Toriwaki, M. Mori, and H. Natori. CARS, volume 1256 of International Congress Series, page 971-976. Elsevier, (2003)Three dimensional concentration index-a local feature for analyzing three dimensional digital line patterns and its application to chest X-ray CT images.Y. Hirano, J. ichi Hasegawa, H. Ohmatsu, Y. Mekada, J. ichiro Toriwaki, and K. Eguchi. ICPR, page 1040-1043. IEEE Computer Society, (1998)Identification of degraded traffic sign symbols by a generative learning method.H. Ishida, T. Takahashi, I. Ide, Y. Mekada, and H. Murase. ICPR (1), page 531-534. IEEE Computer Society, (2006)High Quality Isosurface Generation from Volumetric Data and Its Application to Visualization of Medical CT data.T. Takahashi, Y. Mekada, H. Murase, and T. Yonekura. ICPR (3), page 734-737. IEEE Computer Society, (2004)Prediction of driver's pedestrian detectability by image processing adaptive to visual fields of view.R. Tanishige, D. Deguchi, K. Doman, Y. Mekada, I. Ide, and H. Murase. ITSC, page 1388-1393. IEEE, (2014)Methods for detecting multiple small nodules from 3D chest X-ray CT images.Y. Hayase, Y. Mekada, K. Mori, J. ichi Hasegawa, J. ichiro Toriwaki, M. Mori, and H. Natori. Systems and Computers in Japan, 36 (9): 55-64 (2005)Automated Nomenclature of Bronchial Branches Extracted from CT Images and Its Application to Biopsy Path Planning in Virtual Bronchoscopy.K. Mori, S. Ema, T. Kitasaka, Y. Mekada, I. Ide, H. Murase, Y. Suenaga, H. Takabatake, M. Mori, and H. Natori. MICCAI (2), volume 3750 of Lecture Notes in Computer Science, page 854-861. Springer, (2005)Learning Based Reconstruction of Grayscale Face Image from Far-Infrared Image.B. Kresnaraman, Y. Mekada, T. Takahashi, and H. Murase. ACPR, page 435-439. IEEE, (2013)Visualization of three-dimensional stomach shapes for virtual observation.Y. Mekada, M. Kasuga, J. ichi Hasegawa, and S. Nawano. CARS, volume 1230 of International Congress Series, page 441-446. Elsevier, (2001)An improved method for automated anatomical labeling of bronchial branches extracted from 3-D CT images.S. Ema, K. Mori, T. Kitasaka, Y. Mekada, H. Murase, J. ichi Hasegawa, J. ichiro Toriwaki, M. Mori, H. Takabatake, and H. Natori. CARS, volume 1268 of International Congress Series, page 1358. Elsevier, (2004)

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Spatiotemporal Density Feature Analysis to Detect Liver Cancer from Abdominal CT Angiography.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Spatiotemporal Density Feature Analysis to Detect Liver Cancer from Abdominal CT Angiography.

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Spatiotemporal Density Feature Analysis to Detect Liver Cancer from Abdominal CT Angiography.