Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study

Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study

Myometrial invasion affects the prognosis of endometrial cancer. However, discrepancies exist between pre-operative magnetic resonance imaging staging and post-operative pathological staging. This study aims to validate the accuracy of artificial intelligence (AI) for detecting the depth of myometri...

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Bibliographic Details
Main Authors: Hsiang-Chun Dong, Hsiang-Kai Dong, Mu-Hsien Yu, Yi-Hsin Lin, Cheng-Chang Chang
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:International Journal of Environmental Research and Public Health
Subjects:
artificial intelligence
endometrial neoplasms
magnetic resonance imaging (MRI)
neoplasm staging
neural networks (computer)
Online Access:https://www.mdpi.com/1660-4601/17/16/5993

Internet

https://www.mdpi.com/1660-4601/17/16/5993

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