Automated Diagnosis of Cervical Intraepithelial Neoplasia in Histology Images via Deep Learning

Automated Diagnosis of Cervical Intraepithelial Neoplasia in Histology Images via Deep Learning

Artificial intelligence has enabled the automated diagnosis of several cancer types. We aimed to develop and validate deep learning models that automatically classify cervical intraepithelial neoplasia (CIN) based on histological images. Microscopic images of CIN3, CIN2, CIN1, and non-neoplasm were...

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Bibliographic Details
Main Authors: Bum-Joo Cho, Jeong-Won Kim, Jungkap Park, Gui-Young Kwon, Mineui Hong, Si-Hyong Jang, Heejin Bang, Gilhyang Kim, Sung-Taek Park
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Diagnostics
Subjects:
cervical intraepithelial neoplasia
histology image
artificial intelligence
deep learning
convolutional neural network
Online Access:https://www.mdpi.com/2075-4418/12/2/548

Internet

https://www.mdpi.com/2075-4418/12/2/548

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