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An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images
Research article (Scientific Reports, 2025) · cited 23× · AI/ML
An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images
Summary
An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images is a scholarly article[1].
Key Facts
An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-framework-for-gastric-cancer-classification-using-multi-channel-attention-mechanisms-and-transfer-learn
MLA“An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-framework-for-gastric-cancer-classification-using-multi-channel-attention-mechanisms-and-transfer-learn.
BibTeX@misc{4ortxyz_an-interpretable-framework-for-gastric-cancer-classification-using-multi-channel-attention-mechanisms-and-transfer-learn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-framework-for-gastric-cancer-classification-using-multi-channel-attention-mechanisms-and-transfer-learn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images — https://4ort.xyz/entity/an-interpretable-framework-for-gastric-cancer-classification-using-multi-channel-attention-mechanisms-and-transfer-learn (retrieved 2026-05-24)
