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AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes
AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes
Summary
AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes is a scholarly article[1].
Key Facts
AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes'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). AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes. Retrieved May 24, 2026, from https://4ort.xyz/entity/attrimil-revisiting-attention-based-multiple-instance-learning-for-whole-slide-pathological-image-classification-from-a-
MLA“AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/attrimil-revisiting-attention-based-multiple-instance-learning-for-whole-slide-pathological-image-classification-from-a-.
BibTeX@misc{4ortxyz_attrimil-revisiting-attention-based-multiple-instance-learning-for-whole-slide-pathological-image-classification-from-a-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes}}, year = {2026}, url = {https://4ort.xyz/entity/attrimil-revisiting-attention-based-multiple-instance-learning-for-whole-slide-pathological-image-classification-from-a-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes — https://4ort.xyz/entity/attrimil-revisiting-attention-based-multiple-instance-learning-for-whole-slide-pathological-image-classification-from-a- (retrieved 2026-05-24)
