Yao-zhong Zhang

Sep 2, 2024 | biorxiv.org | Dawei Shen |Yao-zhong Zhang |Seiya Imoto

AbstractWhole Slide Images (WSIs) are high-resolution digital scans of entire microscope slides, extensively used in pathology to enable detailed examination of tissue samples. WSI tumor classification is a classic application of Multiple Instance Learning (MIL). In this process, a WSI is first divided into image tiles, and each tile is encoded into an embedding vector using a pretrained vision encoder. A lightweight MIL model then aggregates all the embeddings in a WSI for classification.