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Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks
The architecture's unique configuration allows for the concurrent modeling of structural patterns at lower magnifications and detailed cellular features at higher ones, while also quantifying the contribution of each magnification level to the prediction.
A comparative study between vision transformers and CNNs in digital pathology
Due to the sparse availability of annotated whole slide images, we further compared both models pretrained on large amounts of unlabeled whole-slide images using state-of-the-art self-supervised approaches.
Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone
In this work, we investigated the predictiveness of morphological characteristics of Hematoxylin and Eosin (H&E) stained tissues for molecular subtype analysis, as an initial step for direct treatment response prediction based on H&E whole slide images (WSI).
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