Classification of Images Acquired with Colposcopy Using Artificial Neural Networks

Classification of Images Acquired with Colposcopy Using Artificial Neural Networks

Objective To explore the advantages of using artificial neural networks (ANNs) to recognize patterns in colposcopy to classify images in colposcopy. PURPOSE: Transversal, descriptive, and analytical study of a quantitative approach with an emphasis on diagnosis. The training test e validation set wa...

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Bibliographic Details
Main Authors: Priscyla W. Simões, Narjara B. Izumi, Ramon S. Casagrande, Ramon Venson, Carlos D. Veronezi, Gustavo P. Moretti, Edroaldo L. da Rocha, Cristian Cechinel, Luciane B. Ceretta, Eros Comunello, Paulo J. Martins, Rogério A. Casagrande, Maria L. Snoeyer, Sandra A. Manenti
Format: Article
Language:English
Published: SAGE Publishing 2014-01-01
Series:Cancer Informatics
Online Access:https://doi.org/10.4137/CIN.S17948

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https://doi.org/10.4137/CIN.S17948

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