Attention multiple instance learning with Transformer aggregation for breast cancer whole slide image classification

Research article (2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022) · cited 14× · AI/ML
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Attention multiple instance learning with Transformer aggregation for breast cancer whole slide image classification

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Attention multiple instance learning with Transformer aggregation for breast cancer whole slide image classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Attention multiple instance learning with Transformer aggregation for breast cancer whole slide image classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/attention-multiple-instance-learning-with-transformer-aggregation-for-breast-cancer-whole-slide-image-classification
MLA “Attention multiple instance learning with Transformer aggregation for breast cancer whole slide image classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/attention-multiple-instance-learning-with-transformer-aggregation-for-breast-cancer-whole-slide-image-classification.
BibTeX @misc{4ortxyz_attention-multiple-instance-learning-with-transformer-aggregation-for-breast-cancer-whole-slide-image-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Attention multiple instance learning with Transformer aggregation for breast cancer whole slide image classification}}, year = {2026}, url = {https://4ort.xyz/entity/attention-multiple-instance-learning-with-transformer-aggregation-for-breast-cancer-whole-slide-image-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Attention multiple instance learning with Transformer aggregation for breast cancer whole slide image classification — https://4ort.xyz/entity/attention-multiple-instance-learning-with-transformer-aggregation-for-breast-cancer-whole-slide-image-classification (retrieved 2026-05-24)

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