Expert System for Histological Diagnosis of Prostate Cancer

The paper is dedicated to the development of expert system for histological prostate cancer diagnosis. The developed system allows to fill the knowledge base and then to use this knowledge base to support physician decision on the histological diagnosis of prostate disease. Keywords: pattern recognition, prostate cancer diagnosis, decision making, decision support syste

System Approach to the Development of Intelligent Complexes of Oncological Diagnostics

The system approach to the development of intellectual complexes in cancer diagnosis are discussed in the article. Distinctive features of this approach: the participation of pathologist at the stage of description of recognizable images (the description is based on traditional assessments of quality informative features of tumors); the set of the most similar probabilistic diagnoses is forming on the classification stage of recognition; final histological diagnosis is made by pathologist. The proposed approach has been successfully tested in clinical practice. Keywords: image processing, image description, image classification, pattern recognition, qualitative attributes of tumor images, interactive recognition, cancer diagnosis, decision support syste