Cross-Dataset Evaluation of Deep Learning Networks for Uterine Cervix Segmentation

Cross-Dataset Evaluation of Deep Learning Networks for Uterine Cervix Segmentation

Evidence from recent research shows that automatic visual evaluation (AVE) of photographic images of the uterine cervix using deep learning-based algorithms presents a viable solution for improving cervical cancer screening by visual inspection with acetic acid (VIA). However, a significant performa...

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Bibliographic Details
Main Authors: Peng Guo, Zhiyun Xue, L. Rodney Long, Sameer Antani
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Diagnostics
Subjects:
deep learning
uterine cervical cancer
uterine cervix segmentation
automated visual evaluation
mask r-cnn
mask<sup>x</sup> r-cnn
Online Access:https://www.mdpi.com/2075-4418/10/1/44

Internet

https://www.mdpi.com/2075-4418/10/1/44

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