most citedDiagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification

4 citations · 5 across the 2 of their papers we have counts for

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cs.CV2023★ 1 cited

TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification

Conghao Xiong, Yi Lin, Hao Chen +5

Transferring knowledge from a source domain to a target domain can be crucial for whole slide image classification, since the number of samples in a dataset is often limited due to…

cs.CV2023★ 4 cited

Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification

Conghao Xiong, Hao Chen, Joseph J. Y. Sung +1

Multiple Instance Learning (MIL) and transformers are increasingly popular in histopathology Whole Slide Image (WSI) classification. However, unlike human pathologists who selectiv…