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Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images
Research article (Journal of Gastroenterology and Hepatology, 2021) · cited 22× · AI/ML
Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images
Summary
Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images is a scholarly article[1].
Key Facts
Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-convolutional-neural-networks-for-evaluating-the-depth-of-invasion-of-early-gastric-cancer-based-on-endos
MLA“Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-convolutional-neural-networks-for-evaluating-the-depth-of-invasion-of-early-gastric-cancer-based-on-endos.
BibTeX@misc{4ortxyz_application-of-convolutional-neural-networks-for-evaluating-the-depth-of-invasion-of-early-gastric-cancer-based-on-endos_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-convolutional-neural-networks-for-evaluating-the-depth-of-invasion-of-early-gastric-cancer-based-on-endos}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images — https://4ort.xyz/entity/application-of-convolutional-neural-networks-for-evaluating-the-depth-of-invasion-of-early-gastric-cancer-based-on-endos (retrieved 2026-05-24)