Modular post-hoc enhancements for zero-shot histopathology classification using vision-language models

Zero-shot learning with vision-language models (VLMs) has shown promising results in histopathological image classification. However, existing approaches often under-utilize domain-specific adaptations that could enhance performance in specialized medical tasks. In this study, we systematically eval...

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Autors principals:	Shahd M Noman, Mayar Tarek Henedak, Mustafa Elattar
Format:	Artigo
Idioma:	Inglês
Publicat:	IOP Publishing 2025-01-01
Col·lecció:	Machine Learning: Science and Technology
Matèries:	zero-shot learning vision-language models histopathology computational pathology prompt engineering inference-time optimization
Accés en línia:	https://doi.org/10.1088/2632-2153/ae0557
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