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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Auteurs principaux: Hirotoshi Takiyama, Tsuyoshi Ozawa, Soichiro Ishihara, Mitsuhiro Fujishiro, Satoki Shichijo, Shuhei Nomura, Motoi Miura, Tomohiro Tada
Format: article
Langue:EN
Publié: Nature Portfolio 2018
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Accès en ligne:https://doaj.org/article/73bf6b140e564453a3cc9dc41b8d0606
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