GitHub - andreazenotto/mesotheliomaSemiSupervisedClassification: This project aims to develop a robust deep learning pipeline for the classification of mesothelioma subtypes (epithelioid vs. sarcomatoid vs. biphasic) from WSIs under weak supervision. Implementing and evaluating a novel framework capable of learning from slide-level labels while identifying discriminative regions at the patch level.

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This project aims to develop a robust deep learning pipeline for the classification of mesothelioma subtypes (epithelioid vs. sarcomatoid vs. biphasic) from WSIs under weak supervision. Implementing and evaluating a novel framework capable of learning from slide-level labels while identifying discriminative regions at the patch level.

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
data		data
explainability		explainability
models		models
src		src
dataset.ipynb		dataset.ipynb
evaluation.ipynb		evaluation.ipynb
paper.pdf		paper.pdf
stdCNN_finetuning.ipynb		stdCNN_finetuning.ipynb
training.ipynb		training.ipynb