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CAD Poster

166 Computer-aided detection scheme for clustered microcalcifications in telediagnostic system via telemedicine network
 
R. Nakayama, N. Nakako, A. Hizukuri, N. Nagasawa, S. Kobayashi, K. Takeda, Mie Univ., Tsu, K. Namba, Hokuto Hosp., Obihiro (J)

167 Software for chemotherapy response prediction in DCE breast images using shape descriptors
 
A. Ahmed, P. Gibbs, M. Pickles, L. Turnbull, Hull Univ. (UK)

168 Fully automatic lesion detection algorithm using the Hough transform in 3-D ultrasound breast images
 
D. Yu, S. Lee, J.W. Lee, S. Kim, ETRI - Electronics and Telecommunications Research Inst., Daejeon (ROK)

169 Improvement of CAD scheme for histological classification of masses on ultrasonographic images by using objective features based on clinicians' subjective impressions
 
A. Hizukuri, R. Nakayama, Y. Kashikura, T. Ogawa, S. Tsuruoka, Mie Univ., Tsu (J)

170 A computer aided detection system for lung nodule identification in computed tomography images
 
N. Camarlinghi, INFN - National Inst. of Nuclear Physics, Pisa (I)

171 A fast algorithm to identify internal lung nodules in a CAD system for chest Computed Tomography (CT)
 
F. Bagagli, N. Camarlinghi, M.E. Fantacci, Univ. of Pisa (I)

172 Volumetric analysis approaches for computer aided detection of lung nodules in CT images
 
S. Trombella, N. Camarlingh, A. Retico, M.E. Fantacci, Univ. of Pisa (I)

173 Validation of a computer aided detection system for lung nodule detection in computed tomography images on a combined dataset annotated according to different protocols
 
R. Scandiffio, M. Barattini, Univ. of Pisa (I), E. Lopez Torres, P. Cerello, CEADEN - Center of Applied Technologies and Nuclear Development, Habana (C)

174 Development of computer-aided diagnosis system using intelligent process manager of multiple image processing algorithms for full automated detection of tumors
 
K. Matsuzaki, J. Miyakoshi, S. Yui, H. Yoshida, T. Irie, Hitachi, Ltd., Tokyo (J)

175 Anisotropy CT imaging in the diagnosis of infected pancreatic necrosis 
 
A. Litvin, Gomel Regional Clinical Hosp., V. Kovalev, Belarus National Academy of Sciences, Minsk (BY)

176 The comparison of glioma grading performance using histogram analysis with apparent diffusion coefficient between in total tumor area and in viable tumor cell area
J.W. Lee, S. Lee, ETRI - Electronics and Telecommunication Research Inst., J. Jeong, Korea Advanced Inst. of Science and Technology, Daejeon, S.H. Choi, J.-H. Kim, C.-H. Sohn, Seoul National Univ. College of Medicine, Seoul (ROK)