A Lesion-Based Convolutional Neural Network Improves Endoscopic Detection and Depth Prediction of Early Gastric Cancer

A Lesion-Based Convolutional Neural Network Improves Endoscopic Detection and Depth Prediction of Early Gastric Cancer

In early gastric cancer (EGC), tumor invasion depth is an important factor for determining the treatment method. However, as endoscopic ultrasonography has limitations when measuring the exact depth in a clinical setting as endoscopists often depend on gross findings and personal experience. The pre...

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Bibliographic Details
Main Authors: Hong Jin Yoon, Seunghyup Kim, Jie-Hyun Kim, Ji-Soo Keum, Sang-Il Oh, Junik Jo, Jaeyoung Chun, Young Hoon Youn, Hyojin Park, In Gyu Kwon, Seung Ho Choi, Sung Hoon Noh
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Journal of Clinical Medicine
Subjects:
early gastric cancer
artificial intelligence
convolutional neural networks
endoscopy
Online Access:https://www.mdpi.com/2077-0383/8/9/1310

Internet

https://www.mdpi.com/2077-0383/8/9/1310

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