Diagnosis Support System of Cervical Cancer Based on Computational Techniques of Cytopathology Image Processing and Analysis

• Grant number: 09/04752-1
• Support Opportunities: Scholarships in Brazil - Master
• Start date: March 01, 2010
• End date: August 31, 2011
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Joaquim Cezar Felipe
• Grantee: Gisele Helena Barboni Miranda
• Host Institution: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

The cytopathology is characterized by the study of the cells and its alterations caused for illnesses, configuring itself as one of the most important disgnostic resources in the medical practice. Today, the main method used in the cytopathology diagnosis of microscopical images, gotten through samples in conventional examinations, is the pathologist visual evaluation, which is based on his experience. The use of computational techniques of image processing makes possible the identification of structural elements and the determination of inherent characteristics for the study of cells structural organization and its pathological variations, which allows getting information about their functional state. The use of computational methods in diagnosis aims at the diminish of the pathologist subjectivity of the evaluation and the classification process. This approach is inserted in a new and emergent sub-area of Bioinformatics, the Bioimage-Informatics. The objective of this project is the implementation of a computational system to assist the diagnosis of cervical cancer, based on the application of techniques of image processing and pattern recognition. The study, the evaluation and the application of these techniques in digital images obtained from cervix cytopathological samples will allow the automatic identification of possible injuries caused by infections or cancer processes. This way, the tool will generate a second opinion, helping to increase the precision of the pathologist diagnosis.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

BARBONI MIRANDA, GISELE HELENA; SOARES, EDSON GARCIA; BARRERA, JUNIOR; FELIPE, JOAQUIM CEZAR; SODA, P; TORTORELLA, F. Method to Support Diagnosis of Cervical Intraepithelial Neoplasia (CIN) Based on Structural Analysis of Histological Images. 2012 25TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2012-01-01. (09/04752-1)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

MIRANDA, Gisele Helena Barboni. A Method for Processing and Computational Analysis of histopathological images to support the diagnosis of Cervical Cancer. 2011. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME/SBI) São Paulo.