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 w...

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Detalles Bibliográficos
Autores principales: Simões, Priscyla W, Izumi, Narjara B, Casagrande, Ramon S, Venson, Ramon, Veronezi, Carlos D, Moretti, Gustavo P, da Rocha, Edroaldo L, Cechinel, Cristian, Ceretta, Luciane B, Comunello, Eros, Martins, Paulo J, Casagrande, Rogério A, Snoeyer, Maria L, Manenti, Sandra A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2014
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213185/
https://www.ncbi.nlm.nih.gov/pubmed/25374454
http://dx.doi.org/10.4137/CIN.S17948

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213185/
https://www.ncbi.nlm.nih.gov/pubmed/25374454
http://dx.doi.org/10.4137/CIN.S17948

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