bill@ur-laser.UUCP (Bill Lampeter) (04/04/84)
I have developed an "expert" system that analyzes chest ra- diographs for tumors. This system was tested on 37 films that contain nodules. It is capable of finding the nodules in 92% of the films. In studies of mass screenings of ra- diographs by radiologists it was found that the radiologists miss 25-30% of all nodules < 1cm. A Rib Expert determines whether a candidate nodule (possible tumor) is a rib. A No- dule Expert, a linear-discriminant-based pattern recognizer, classifies candidate nodules. All candidate nodules that are classified as any type of nodule are presented to a radiolo- gist for further inspection. Radiologists can recognize no- dules as such once they are pointed-out. If you are in- terested in this work or want leads to other methods of au- tomated chest film analysis, which are listed in the bi- bliographies, contact Peggy Meeker ((716)275-7737, {allegra, seismo}!rochester!peg) at the Computer Science Dept at the University of Rochester and request the following TRs: Lampeter, W.A. "Design, tuning, and performance evaluation of an automated pulmonary nodule detection system." TR-120, Computer Science Department, University of Rochester, Ro- chester NY, 1983. Lampeter, W.A. "Three image experts which help distinguish tumors from non-tumors," TR-123, Computer Science Depart- ment, University of Rochester, Rochester NY, 1984. Other works of possible interest: Ballard, D. H., J. Sklansky. "Tumor detection in radio- graphs," Computers in Biomedical Research, 6, 299-321, 1973. Jagoe, J.R., "Reading chest radiographs for pneumoconiosis by computer," Brit. J. Ind. Med., 32, 267-272, 1975. Toriwaki, J. et.al. Pattern recognition of chest x-ray im- ages. Comp Grap Pat Recog, 2, 252-271, 1973. Bill Lampeter Department of Radiology School of Medicine and Dentistry University of Rochester (716) 275-5101 or (716) 275-3194 {seismo, allegra}!rochester!ur-laser!bill