Automated Detection and Segmentation of Early Gastric Cancer from Endoscopic Images Using Mask R-CNN

Automated Detection and Segmentation of Early Gastric Cancer from Endoscopic Images Using Mask R-CNN

Gastrointestinal endoscopy is widely conducted for the early detection of gastric cancer. However, it is often difficult to detect early gastric cancer lesions and accurately evaluate the invasive regions. Our study aimed to develop a detection and segmentation method for early gastric cancer region...

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Bibliographic Details
Main Authors: Tomoyuki Shibata, Atsushi Teramoto, Hyuga Yamada, Naoki Ohmiya, Kuniaki Saito, Hiroshi Fujita
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
deep learning
gastric cancer
endoscopy
segmentation
mask R-CNN
Online Access:https://www.mdpi.com/2076-3417/10/11/3842

Internet

https://www.mdpi.com/2076-3417/10/11/3842

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