A Case-Based Reasoning method for computer-assisted diagnosis in histopathology

This article addresses the issue of exploiting knowledge acquired from experience in the diagnosis process in histopathology. We present the functional architecture of a Case-Based-Reasoning system in this domain. The main procedure, the selection of similar previous cases, has been implemented. The selection procedure is based on an original similarity measure that takes into account both semantic and structural resemblances and differences between the cases. A first evaluation of the system was performed on a base of 35 pathological cases of specimen of breast palpable tumours.