Alternatives and similar repositories for unified-focal-loss

Users that are interested in unified-focal-loss are comparing it to the libraries listed below

• oikosohn / compound-loss-pytorch
  Compound loss for PyTorch
  ☆45Updated 2 years ago
• LucasFidon / GeneralizedWassersteinDiceLoss
  Official implementation of the Generalized Wasserstein Dice Loss in PyTorch
  ☆80Updated 2 years ago
• Thanos-DB / FullyConvolutionalTransformer
  [WACV 2023] Official implementation of The Fully Convolutional Transformer for Medical Image Segmentation
  ☆136Updated last year
• sfczekalski / attention_unet
  Neural Network for semantic segmentation
  ☆69Updated 5 years ago
• linhaoqi027 / SEG-GRAD-CAM
  pytorch implementation of SEG-GRAD-CAM,which based on grad-cam
  ☆51Updated 4 years ago
• DebeshJha / ResUNetPlusPlus-with-CRF-and-TTA
  Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)
  ☆124Updated last year
• HiLab-git / CA-Net
  Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
  ☆176Updated 4 years ago
• askerlee / segtran
  Medical Image Segmentation using Squeeze-and-Expansion Transformers
  ☆227Updated 3 years ago
• frankkramer-lab / miseval
  a metric library for Medical Image Segmentation EVALuation
  ☆117Updated 8 months ago
• ChoiDM / pytorch-deeplabv3plus-3D
  Deeplabv3 plus 3D version (in pytorch)
  ☆36Updated 6 years ago
• HiLab-git / ACELoss
  Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
  ☆74Updated 4 years ago
• jlcsilva / segmentation_models.pytorch
  Segmentation models with pretrained backbones. PyTorch.
  ☆33Updated 2 years ago
• james128333 / HarDNet-MSEG
  ☆136Updated 4 years ago
• jocpae / clDice
  ☆236Updated last year
• PatRyg99 / HausdorffLoss
  Implementation of Hausdorff loss function for DNN learning in segmentation tasks.
  ☆66Updated last year
• ChrisMats / medical_transformers
  Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"
  ☆114Updated 3 years ago
• Mr-TalhaIlyas / Loss-Functions-Package-Tensorflow-Keras-PyTorch
  Loss function Package Tensorflow Keras PyTOrch
  ☆54Updated last year
• DebeshJha / ResUNetPlusPlus
  Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
  ☆220Updated last year
• maxvfischer / keras-image-segmentation-loss-functions
  Binary and multiclass image segmentation loss functions implemented in Keras
  ☆63Updated 4 years ago
• nauyan / Segmentation
  Contains code for Semantic Segmentation of MoNuSeg 2018 challenge.
  ☆41Updated 2 years ago
• 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…
  ☆96Updated 3 years ago
• HXLH50K / U-Net-Transformer
  ☆111Updated 4 years ago
• jlcsilva / EfficientUNetPlusPlus
  Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperf…
  ☆66Updated 3 years ago
• 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.…
  ☆41Updated last year
• kaland313 / SSL-MedSeg
  Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"
  ☆47Updated last year
• Bala93 / Multi-task-deep-network
  Usage of Multi-task deep learning network for semantic segmentation in medical images
  ☆131Updated 4 years ago
• xhu248 / semi_cotrast_seg
  ☆67Updated 2 years ago
• China-LiuXiaopeng / BraTS-DMFNet
  ☆185Updated 5 years ago
• M3DV / ACSConv
  [IEEE JBHI'21] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!
  ☆167Updated last year
• rezazad68 / TMUnet
  Contextual Attention Network: Transformer Meets U-Net
  ☆95Updated 3 years ago