INDIAM um sistema de ensino para auxiliar estudantes na interpretação de mamografias e diagnósticos de câncer de mama via Web

Abstract

This work presents an overview of INDIAM INterpretation and DIAgnosis of Mammograms an e-learning system for assisting medical students in the interpretation of mammograms and diagnosis of breast cancer. The knowledge base of INDIAM is composed of a mammographic database that includes cases with all the available mammographic standard views, global and local radiological findings, diagnosis proven by biopsy, the patient s clinical history, and information about the life style of the patient; an ontology, called BreastCancerOnto, that available semantics in the Web services integrated into the e-learning system; and a hypertext tutorial which guides the users (doctors, students, or researchers) through the concepts related to the diagnosis of breast cancer. The proposed e-learning system is composed of four principal Web services: one to guide the beginner student through the steps of analyzing a mammogram; one to simulate the diagnosis of a given mammogram retrieved from the mammographic database; one to answer questions from the user based on BreastCancerOnto ontology; and one to make available the tutorial about diagnosis of breast cancer. The INDIAM e-learning system is being integrated into AMDI - an indexed atlas of digital mammography that can be accessed via the Web.