Rollout, reward calculation, and gradient updates via GRPO Three lines of code to run. This framework is engineered to be highly adaptable, enabling researchers and developers to explore and innovate ...

Abstract: Automatic nuclei segmentation and classification (NSC) is a fundamental prerequisite in digital pathology analysis as it enables the quantification of biomarkers and histopathological ...

Abstract: In this letter, we propose an efficient hybrid model, named HMC-ViT, that combines a convolutional neural network (CNN) with a multi-class token vision transformer (ViT) to address the ...