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