Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study
BackgroundIn a previous study, we examined the use of deep learning models to classify the invasion depth (mucosa-confined versus submucosa-invaded) of gastric neoplasms using endoscopic images. The external test accuracy reached 77.3%. However, model establishment is labor intense, requiring high p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2021-04-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2021/4/e25167 |