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Official PyTorch implementation of MSF-WSI: A multi-resolution self-supervised learning framework for semantic segmentation in histopathology

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Dylan-H-Wang/msf-wsi

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Officail repo for MSF-WSI.

Note

Current repo provides short documentation and will provide more details when I have time...

Installation

Run the following code to install all dependencies.

conda env create -f environment.yml

Steps

Check scripts in /script to see how to run MSF-WSI pre-training for BCSS, PAIP19, and Camelyon16 datasets.

Model Weights

Dataset SSL pre-trained Fine-tuned
BCSS (fold 1) Link Link
PAIP2019 (fold 1) Link Link
Camelyon16 Link N/A

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Official PyTorch implementation of MSF-WSI: A multi-resolution self-supervised learning framework for semantic segmentation in histopathology

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