Multiscale tumor characterization in histopathology via self-distilled transformers and topology-aware visual encoding

Abstract The increasing complexity of whole slide images in histopathology requires models that would be accurate across magnifications while being robust to visual, topological, and contextual variations in the setting. Thus far, existing approaches have either failed to generalize across various r...

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Egile Nagusiak:	Tanvir H. Sardar, P. Naresh, Sk Mahmudul Hassan, Praveen Kulkarni, Rajesh T. M, B. M. Ahamed Shafeeq
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Nature Portfolio 2025-12-01
Saila:	Scientific Reports
Gaiak:	Multiscale learning Histopathology analysis Visual transformers Morphometric fusion Attention regularization Process
Sarrera elektronikoa:	https://doi.org/10.1038/s41598-025-27748-6
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