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A PyTorch library providing 12+ semantic segmentation model architectures with 800+ pretrained convolutional and transformer-based encoders.
A U-Net implementation for brain tumor segmentation using the BRATS 2017 dataset with data augmentation and dice loss.
A tool for cell instance aware segmentation in densely packed 3D volumetric images, originally developed for plant tissues.
An open-source benchmark solution for the Kaggle TGS Salt Identification Challenge using semantic segmentation.
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