After downloading the WSIs, please use the CLAM repository to pre-process the WSIs and extract the features. The features should be put into the ./data directory. Then, use the h5toPyG.ipynb notebook ...
Abstract: Multiple instance learning (MIL)-based framework has become the mainstream for processing the whole slide image (WSI) with giga-pixel size and hierarchical image context in digital pathology ...
Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models ...
Abstract: Whole slide images (WSIs), which are high-resolution, digitized representations of tissue samples, pose significant computational challenges due to their gigapixel scale and multi-resolution ...
Google's Nano Banana Pro model has been making waves over the past week owing to its ability to generate and edit images with remarkable consistency, advanced creative controls, better text rendering, ...
Abstract: In digital pathology, whole slide images (WSI) are crucial for cancer prognostication and treatment planning. WSI classification is generally addressed using multiple instance learning (MIL) ...
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