Sistema neuro-fuzzy para classificaÃÃo de calcificaÃÃes em mamogramas
AUTOR(ES)
Fabiano Cavalcanti Fernandes
DATA DE PUBLICAÇÃO
2007
RESUMO
In Brazil breast cancer is the leading cause of death by cancer for women. Since the causes are unknown, it cannot be prevented. The presence of calcification clusters is an important sign for breast carcinoma detection. Mammography is one of the most reliable exams for breast cancer detection. Early detection is the key issue for breast cancer control and computer-aided diagnosis system can help radiologists in detection and diagnosing breastabnormalities. Artificial neural networks are suitable for pattern recognition tasks and therefore useful for medical diagnosis support. This study presents a fuzzy-neural system that classifies the mammogram calcification region of interest as benign or malign. The present system will be incorporated at VIRTUATLAS (Breast Physiopathology and Anatomy Virtual Atlas) and IACVIRTUAL (Artificial Intelligence applied to the Modeling and Implementation of a Virtual Medical Office) projects.
ASSUNTO(S)
artificial neural networks medical diagnosis mamografia sistemas de computacao calcificaÃÃes redes neurais artificiais; anfis; mamografia; diagnÃstico mÃdico; calcificaÃÃes anfis mammography diagnÃstico mÃdico redes neurais artificiais calcifications anfis
