title: Improvement in the computer-assisted diagnosis of cerebral tumours.
abstract: Most applications of Bayes theorem in computer-aided diagnosis have been to situations involving the differential diagnosis of a small list of disease categories. In the case of the diagnosis of cerebral tumours, if each tumour type in each main anatomical situation is counted as a single diagnosis, there are about 100 possible disease categories. This paper investigates a method of incorporating expert prior information into the computer-aided diagnosis process so that this large number of categories can be handled.
mesh_terms: D000236:Adenoma / Q000175:diagnosis; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology; D003397:Craniopharyngioma / Q000175:diagnosis; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D008579:Meningioma / Q000175:diagnosis; D011859:Radiography