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Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological images
Research article (Engineering Applications of Artificial Intelligence, 2024) · cited 13× · AI/ML
Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological images
Summary
Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological images is a scholarly article[1].
Key Facts
Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological 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). Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological images. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-path-residual-attention-network-for-cancer-diagnosis-robust-to-a-small-number-of-training-data-of-microscopic-hype
MLA“Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-path-residual-attention-network-for-cancer-diagnosis-robust-to-a-small-number-of-training-data-of-microscopic-hype.
BibTeX@misc{4ortxyz_multi-path-residual-attention-network-for-cancer-diagnosis-robust-to-a-small-number-of-training-data-of-microscopic-hype_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological images}}, year = {2026}, url = {https://4ort.xyz/entity/multi-path-residual-attention-network-for-cancer-diagnosis-robust-to-a-small-number-of-training-data-of-microscopic-hype}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological images — https://4ort.xyz/entity/multi-path-residual-attention-network-for-cancer-diagnosis-robust-to-a-small-number-of-training-data-of-microscopic-hype (retrieved 2026-05-24)
