Method to Support Diagnosis of Cervical Intraepithelial Neoplasia (CIN) Based on Structural Analysis of Histological Images

Autor(es)

Barboni Miranda, Gisele Helena ; Soares, Edson Garcia ; Barrera, Junior ; Felipe, Joaquim Cezar ; Soda, P ; Tortorella, F

• Tipo de documento: Artigo Científico
• Fonte: 2012 25TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS); v. N/A, p. 6-pg., 2012-01-01.

Resumo

Histopathology is considered one of the most important tools for diagnosis in medical routine. It is characterized by the study of structural and morphological changes of the cells, caused by diseases in biological tissues. The use of computational techniques in the processing of histopathological images allows the identification of structural elements as well as the determination of inherent characteristics, supporting the study of the structural organization of tissues and their pathological changes. Within this perspective, the overall objective of this work includes the proposal, the implementation and the evaluation of a methodology for the analysis of cervical intraepithelial neoplasia (CIN) from histopathological samples through techniques based on Neighbourhood Graphs theory and Complex Networks. The proposed method was evaluated concerning the detection of the presence of lesions in the tissue. The maximum accuracy obtained in the evaluation of the detection of abnormalities was 88%. Since this method is generic, it can he applied to other types of lesions and tissues. (AU)

• Processo FAPESP: 09/04752-1 - Sistema para Apoio ao Diagnóstico de Câncer de Colo do Útero Baseado em Técnicas Computacionais de Processamento e Análise de Imagens Citopatológicas
• Beneficiário: Gisele Helena Barboni Miranda
• Modalidade de apoio: Bolsas no Brasil - Mestrado