Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks

Abstract The use of convolutional neural networks (CNNs) has dramatically advanced our ability to recognize images with machine learning methods. We aimed to construct a CNN that could recognize the anatomical location of esophagogastroduodenoscopy (EGD) images in an appropriate manner. A CNN-based...

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Bibliographic Details
Main Authors: Hirotoshi Takiyama, Tsuyoshi Ozawa, Soichiro Ishihara, Mitsuhiro Fujishiro, Satoki Shichijo, Shuhei Nomura, Motoi Miura, Tomohiro Tada
Format: article
Language:EN
Published: Nature Portfolio 2018
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Online Access:https://doaj.org/article/73bf6b140e564453a3cc9dc41b8d0606
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