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Obj Eng by chinniglr is a document available to read on EtoBox.

The document outlines the development of a self-supervised learning framework for computational pathology aimed at extracting robust features from unlabeled whole-slide images. Key objectives include reducing reliance on annotated datasets, learning meaningful features with a Vision Transformer, and generating informative slide-level representations for various downstream tasks. The framework also seeks to enhance generalization across different clinical environments and improve interpretability through att

Author
chinniglr
Language
EN