JiangYuhan1996

JiangYuhan1996's Stars

• xmengli/H-DenseUNet

  TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

  Language:Python533160

• HRNet/HRNet-Semantic-Segmentation

  The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

  Language:Python3.2k693

• shreyaspadhy/UNet-Zoo

  A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

  Language:Python36676

• ndrplz/ConvLSTM_pytorch

  Implementation of Convolutional LSTM in PyTorch.

  Language:Python2k434

• ozan-oktay/Attention-Gated-Networks

  Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

  Language:Python1.9k424

• JunMa11/SegLossOdyssey

  A collection of loss functions for medical image segmentation

  Language:Python3.8k605

• CoinCheung/pytorch-loss

  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

  Language:Python2.2k374

• bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets

  Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

  Language:Python2k349

• MIC-DKFZ/nnUNet

  Language:Python6.1k1.8k

• sinAshish/Multi-Scale-Attention

  Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

  Language:Python46195

• muellerdo/kits19.MIScnn

  Kidney Tumor Segmentation Challenge 2019: MIScnn - 3D Residual U-Net

  Language:Python3710

• HymEric/Segmentation-Series-Chaos

  Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

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