Semantic segmentation of diseases using the ChestX-Det dataset. This project includes the complete pipeline for creating the data loader, training, and testing the model. The models used are UNet and UNet++. The segmentation-models-pytorch (https://github.com/qubvel/segmentation_models.pytorch) library is used to produce the results.
Shreyans06/Segmentation-ChestXDet
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Segmentation of diseases using ChestX-Ray images
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