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Project on pancreas and pancreatic tumor segmentation as part of Deep Learning course

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RedekopEP/SkoltechDL_PancreasSegmentation

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Cascade Neural Networks Algorithms for Segmentation in Medical Imaging.

The following repositories were used:

-2D Unet: https://github.com/cosmic-cortex/pytorch-UNet

-3D Unet: https://github.com/wolny/pytorch-3dunet

-PSPNet (pspnet was used like carcase and was modified for our task): https://github.com/Lextal/pspnet-pytorch/blob/master/pspnet.py

-encoders: https://github.com/qubvel/segmentation_models.pytorch

-encoders: https://github.com/Cadene/pretrained-models.pytorch#resnext

-Spatial and channel-wise attention: https://github.com/LeeJunHyun/Image_Segmentation, https://github.com/ozan-oktay/Attention-Gated- Networks/blob/master/models/networks/unet_grid_attention_3D.py

-FPN: https://github.com/qubvel/segmentation_models.pytorch

All of that githubs were modified for our tasks and our pipeline.

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Project on pancreas and pancreatic tumor segmentation as part of Deep Learning course

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