Computerized Analysis of Medical Images : Important Issues and Challenges for Computer - Aided Detection and Diagnosis —

1 From the Dept of Radiology, Vanderbilt Univ Medical Ctr, RR-1223, MCN, 1161 21st Ave South, Nashville, TN 37232-2675 (C.L.P.); Dept of Radiology, Univ of Michigan Health Systems, Ann Arbor (H.P.C.); Dept of Radiology, Univ of Texas M.D. Anderson Cancer Ctr, Houston (J.G.G.); Dept of Radiology, Univ of Chicago, Ill (M.L.G.); Dept of Radiology, Duke Univ Medical Ctr, Durham, NC (J.A.I.); Dept of Radiology, Brigham and Women’s Hosp, Harvard Medical School, Boston, Mass (F.A.J.); Dept of Radiology, Univ of Massachusetts Medical School, Worcester (K.K.); Imaging Sciences Program, NIH, Bethesda, Md (K.C.P.L.); Dept of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, Calif (M.M.G.); Dept of Radiology, Stanford Univ School of Medicine, Calif (S.N.); Diagnostic Radiology Dept, NIH, Bethesda, Md (R.M.S.); and Inst for Technology Assessment and Dept of Radiology, Massachusetts General Hosp, Harvard Medical School, Boston, and Dept of Health Policy and Management, Harvard School of Public Health, Boston, Mass (G.S.G.). Supported in part by grants from NIBIB (1 R13 EB003553-01) and the Whitaker Foundation.Received Nov 4, 2004; revision requested Dec 13; revision received Jan 23, 2005; accepted Feb 1. Address correspondence to C.L.P. (e-mail: [email protected]).