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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Автори:	Shahd M Noman, Mayar Tarek Henedak, Mustafa Elattar
Формат:	Artigo
Мова:	Inglês
Опубліковано:	IOP Publishing 2025-01-01
Серія:	Machine Learning: Science and Technology
Предмети:	zero-shot learning vision-language models histopathology computational pathology prompt engineering inference-time optimization
Онлайн доступ:	https://doi.org/10.1088/2632-2153/ae0557
Теги:	Додати тег Немає тегів, Будьте першим, хто поставить тег для цього запису!

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

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