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HERO: Histology Encoder for Robust Representation in Oncology
Not provided in the abstract
foundation modelspathologyrobustnessclinical applications
2609.35943
Builder Relevance
1h ago80%
Abstract
HERO is a robust pathology foundation model that excels in clinical settings by maintaining representation quality despite variations in image acquisition.
Reality Card
Core Claim
HERO demonstrates the strongest robustness to center, scanner, and stain variation among state-of-the-art foundation models while achieving top performance across 39 clinical tasks.
Method / Result
HERO was trained on a morphology-balanced corpus of 500 million tiles from approximately 575,000 clinical whole-slide images.
Limitations
The abstract does not specify limitations or reproducibility concerns.
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