680-SMMILe: Spatial Quantification in Digital Pathology

This report introduces SMMILe, a novel computational pathology method designed to improve both whole-slide image classification and spatial quantification across various cancers. While traditional multiple-instance learning models often sacrifice spatial detail for global accuracy, SMMILe utilizes a superpatch-based approach to maintain high-resolution diagnostic maps without losing predictive pow...去小宇宙查看完整单集简介
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