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From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology
Summary
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology is a scholarly article[1].
Key Facts
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology'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). From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology. Retrieved May 24, 2026, from https://4ort.xyz/entity/from-modern-cnns-to-vision-transformers-assessing-the-performance-robustness-and-classification-strategies-of-deep-learn
MLA“From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/from-modern-cnns-to-vision-transformers-assessing-the-performance-robustness-and-classification-strategies-of-deep-learn.
BibTeX@misc{4ortxyz_from-modern-cnns-to-vision-transformers-assessing-the-performance-robustness-and-classification-strategies-of-deep-learn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology}}, year = {2026}, url = {https://4ort.xyz/entity/from-modern-cnns-to-vision-transformers-assessing-the-performance-robustness-and-classification-strategies-of-deep-learn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology — https://4ort.xyz/entity/from-modern-cnns-to-vision-transformers-assessing-the-performance-robustness-and-classification-strategies-of-deep-learn (retrieved 2026-05-24)
