Detection and Characterization of Gastric Cancer Using Cascade Deep Learning Model in Endoscopic Images

Detection and Characterization of Gastric Cancer Using Cascade Deep Learning Model in Endoscopic Images

Endoscopy is widely applied in the examination of gastric cancer. However, extensive knowledge and experience are required, owing to the need to examine the lesion while manipulating the endoscope. Various diagnostic support techniques have been reported for this examination. In our previous study,...

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Bibliographic Details
Main Authors: Atsushi Teramoto, Tomoyuki Shibata, Hyuga Yamada, Yoshiki Hirooka, Kuniaki Saito, Hiroshi Fujita
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Diagnostics
Subjects:
gastric cancer
deep learning
convolutional neural network
segmentation
classification
Online Access:https://www.mdpi.com/2075-4418/12/8/1996

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