Simplified Convolutional Neural Network Application for Cervix Type Classification via Colposcopic Images

Simplified Convolutional Neural Network Application for Cervix Type Classification via Colposcopic Images

The inner parts of the human body are usually inspected endoscopically using special equipment. For instance, each part of the female reproductive system can be examined endoscopically (laparoscopy, hysteroscopy, and colposcopy). The primary purpose of colposcopy is the early detection of malignant...

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Bibliographic Details
Main Authors: Vitalii Pavlov, Stanislav Fyodorov, Sergey Zavjalov, Tatiana Pervunina, Igor Govorov, Eduard Komlichenko, Viktor Deynega, Veronika Artemenko
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Bioengineering
Subjects:
convolutional neural networks
colposcopy
pathologies
suspicious for invasion
cervical cancer
Online Access:https://www.mdpi.com/2306-5354/9/6/240

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