A Hierarchical Feature-Based Methodology to Perform Cervical Cancer Classification

A Hierarchical Feature-Based Methodology to Perform Cervical Cancer Classification

Prevention of cervical cancer could be performed using Pap smear image analysis. This test screens pre-neoplastic changes in the cervical epithelial cells; accurate screening can reduce deaths caused by the disease. Pap smear test analysis is exhaustive and repetitive work performed visually by a cy...

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Bibliographic Details
Main Authors: Débora N. Diniz, Mariana T. Rezende, Andrea G. C. Bianchi, Claudia M. Carneiro, Daniela M. Ushizima, Fátima N. S. de Medeiros, Marcone J. F. Souza
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
image classification
learning algorithm
Random Forest classifier
hierarchical model
cervical lesions
cancer classification
Online Access:https://www.mdpi.com/2076-3417/11/9/4091

Internet

https://www.mdpi.com/2076-3417/11/9/4091

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