Application of A Convolutional Neural Network in The Diagnosis of Gastric Mesenchymal Tumors on Endoscopic Ultrasonography Images

Application of A Convolutional Neural Network in The Diagnosis of Gastric Mesenchymal Tumors on Endoscopic Ultrasonography Images

Background and Aims:<b> </b>Endoscopic ultrasonography (EUS) is a useful diagnostic modality for evaluating gastric mesenchymal tumors; however, differentiating gastrointestinal stromal tumors (GISTs) from benign mesenchymal tumors such as leiomyomas and schwannomas remains challenging....

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Bibliographic Details
Main Authors: Yoon Ho Kim, Gwang Ha Kim, Kwang Baek Kim, Moon Won Lee, Bong Eun Lee, Dong Hoon Baek, Do Hoon Kim, Jun Chul Park
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Journal of Clinical Medicine
Subjects:
stomach
endoscopic ultrasonography
gastrointestinal stromal tumor
mesenchymal tumor
artificial intelligence
Online Access:https://www.mdpi.com/2077-0383/9/10/3162

Internet

https://www.mdpi.com/2077-0383/9/10/3162

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