oikosohn / compound-loss-pytorch

Related projects ⓘ

Alternatives and complementary repositories for compound-loss-pytorch

• by-liu / SegLossBias
  Code for the paper : Do we really need dice? The hidden region-size biases of segmentation losses. MeDIA 2023. https://www.sciencedirect.…
  ☆38Updated last year
• DLWK / EANet
  [PR2022] The Code of “EANet: Iterative Edge Attention Network for Medical Image Segmentation”
  ☆52Updated 2 years ago
• linhaoqi027 / SEG-GRAD-CAM
  pytorch implementation of SEG-GRAD-CAM,which based on grad-cam
  ☆51Updated 4 years ago
• mlyg / unified-focal-loss
  ☆152Updated 2 years ago
• jlcsilva / EfficientUNetPlusPlus
  Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperf…
  ☆64Updated 2 years ago
• xiaofang007 / CTO
  ☆47Updated last year
• LucasFidon / GeneralizedWassersteinDiceLoss
  Official implementation of the Generalized Wasserstein Dice Loss in PyTorch
  ☆81Updated 2 years ago
• jlcsilva / segmentation_models.pytorch
  Segmentation models with pretrained backbones. PyTorch.
  ☆32Updated 2 years ago
• himashi92 / Duo-SegNet
  [MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segment…
  ☆48Updated 3 years ago
• ShuaiChenBIGR / MASSL-segmentation-framework
  Multi-task Attention-based Semi-supervised Learning framework for image segmentation
  ☆42Updated 4 years ago
• xhu248 / semi_cotrast_seg
  ☆65Updated last year
• Kent0n-Li / GT-U-Net
  ☆37Updated 2 years ago
• kaland313 / SSL-MedSeg
  Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"
  ☆42Updated 9 months ago
• kiraving / SegGradCAM
  SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
  ☆99Updated last year
• ShinkaiZ / CLCC-semi
  ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation.
  ☆46Updated 2 years ago
• xmindflow / DAEFormer
  [MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
  ☆104Updated last year
• ahatamiz / dals
  Official Repository for Deep Active Lesion Segmentation (DALS)
  ☆32Updated 9 months ago
• james128333 / HarDNet-MSEG
  ☆133Updated 3 years ago
• nikhilroxtomar / TGANet
  TGANet: Text-guided attention for improved polyp segmentation [Early Accepted & Student Travel Award at MICCAI 2022]
  ☆67Updated 2 years ago
• HiLab-git / ACELoss
  Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
  ☆71Updated 3 years ago
• neuronflow / blob_loss
  blob loss example implementation
  ☆35Updated 3 months ago
• leanderloew / Semi-Supervised-Segmentation-Pytorch
  A repository for semi supervised image segmentation using Mean Teacher
  ☆30Updated 5 years ago
• Qybc / Scribble2D5
  Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations
  ☆20Updated last year
• c-feng / DirectionalFeature
  Learning Directional Feature Maps for Cardiac MRI Segmentation (MICCAI2020)
  ☆62Updated 3 years ago
• rezazad68 / TMUnet
  Contextual Attention Network: Transformer Meets U-Net
  ☆92Updated 2 years ago
• rezazad68 / transdeeplab
  TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
  ☆68Updated last year
• sunjesse / shape-attentive-unet
  Code for our paper SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. https://arxiv.org/pdf/2001.07645v3.pdf pub…
  ☆94Updated 3 years ago
• xianlin7 / BATFormer
  ☆40Updated last year
• hritam-98 / ICT-MedSeg
  Code implementation for our paper ACCEPTED in ISBI, 2022
  ☆40Updated 2 years ago