DSAGL combines a Mamba encoder, multi-scale attention, and a teacher-student loop to improve instance- and bag-level classification of whole slide images under weak supervision.
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Dual-stream attention-guided learning for weakly supervised whole slide image classification
DSAGL combines a Mamba encoder, multi-scale attention, and a teacher-student loop to improve instance- and bag-level classification of whole slide images under weak supervision.