TO3.R3: CAD for Imaging of Cancer |
Session Type: Lecture |
Time: Tuesday, June 30, 15:00 - 16:20 |
Location: Berkeley/Clarendon |
TO3.R3.1: A GENERAL FRAMEWORK FOR AUTOMATIC DETECTION OF MATCHING LESIONS IN FOLLOW-UP CT |
Jan Hendrik Moltz; Fraunhofer MEVIS - Institute for Medical Image Computing |
Michael Schwier; Fraunhofer MEVIS - Institute for Medical Image Computing |
Heinz-Otto Peitgen; Fraunhofer MEVIS - Institute for Medical Image Computing |
TO3.R3.2: FAST DETECTION OF CONVERGENCE AREAS IN DIGITAL BREAST TOMOSYNTHESIS |
Giovanni Palma; General Electric Healthcare |
Serge Muller; General Electric Healthcare |
Isabelle Bloch; TELECOM ParisTech (ENST) - CNRS UMR 5141 |
Razvan Iordache; General Electric Healthcare |
TO3.R3.3: COMPUTER-AIDED PROGNOSIS OF ER+ BREAST CANCER HISTOPATHOLOGY AND CORRELATING SURVIVAL OUTCOME WITH ONCOTYPE DX ASSAY |
Ajay Basavanhally; Rutgers University |
Jun Xu; Rutgers University |
Shridar Ganesan; The Cancer Institute of New Jersey |
Anant Madabhushi; Rutgers University |
TO3.R3.4: SEMI-AUTOMATED MEASUREMENT OF PULMONARY NODULE GROWTH WITHOUT EXPLICIT SEGMENTATION |
Artit Jirapatnakul; Cornell University |
Anthony P. Reeves; Cornell University |
Alberto M. Biancardi; Cornell University |
David F. Yankelevitz; Weill Cornell Medical College |
Claudia Henschke; Weill Cornell Medical College |