Alternatives and similar repositories for CNN_MumfordShah_Loss

Users that are interested in CNN_MumfordShah_Loss are comparing it to the libraries listed below

• rodsom22 / gcn_refinement
  ☆36Updated 2 years ago
• LIVIAETS / semi_curriculum
  Code for our arxiv preprint: https://arxiv.org/abs/1904.05236
  ☆34Updated 6 years ago
• HiLab-git / UGIR
  Uncertainty-Guided Interactive Refinement for Segmentation
  ☆58Updated 4 years ago
• kiretd / Unsupervised-MIseg
  Unsupervised medical image segmentation using edge mapping and adversarial learning
  ☆20Updated 5 years ago
• pfnet-research / label-efficient-brain-tumor-segmentation
  ☆21Updated 4 years ago
• SteffenCzolbe / probabilistic_segmentation
  ☆24Updated 4 years ago
• HuXiaoling / imageSeg-2.5D_topo
  Another implementation of topological loss
  ☆37Updated 4 years ago
• lyndonchan / wsss-analysis
  A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)
  ☆48Updated 4 years ago
• sciai-lab / pytorch-LearnedRandomWalker
  Pytorch implementation of the LearnedRandomWalker module
  ☆29Updated 4 years ago
• lambert-x / CateNorm
  The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"
  ☆32Updated 2 years ago
• shirgur / UMIS
  Official PyTorch implementation of "Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network"
  ☆73Updated 4 years ago
• hvcl / scribble2label
  Official PyTorch implementation of Scribble2Label (MICCAI 2020)
  ☆35Updated 3 years ago
• moucheng2017 / Med-Noisy-Labels
  [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
  ☆74Updated 2 years ago
• lxasqjc / Foveation-Segmentation
  PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images
  ☆41Updated 3 years ago
• uncbiag / iSegFormer
  iSegFormer: Interactive Image/Volume Segmentation using Vision Transformers (MICCAI 2022)
  ☆29Updated last year
• alainjungo / reliability-challenges-uncertainty
  Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
  ☆55Updated last year
• mathilde-b / CDA
  Constrained Domain Adaptation for Segmentation
  ☆29Updated 3 years ago
• mostafa-saad / segment-correction-net
  Paper ibrahim et al, cvpr 2020 - Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks
  ☆39Updated 5 years ago
• trypag / NonAdjLoss
  ☆28Updated 5 years ago
• dmitrysarov / clDice
  pyTorch implementation of clDice
  ☆29Updated 5 years ago
• 502463708 / Confident_Learning_for_Noisy-labeled_Medical_Image_Segmentation
  ☆27Updated 3 years ago
• darylfung96 / self-supervised-CT-segmentation
  ☆8Updated 2 years ago
• emma-sjwang / Reading_list
  reading list for deep learning —— PHD life
  ☆31Updated 4 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
• lc82111 / Active-Contour-Loss-pytorch
  An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.
  ☆75Updated 7 months ago
• neuropoly / domainadaptation
  Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".
  ☆43Updated 6 years ago
• HaipengXiong / weighted-hausdorff-loss
  A loss function (Weighted Hausdorff Distance) for object localization in PyTorch
  ☆92Updated 7 years ago
• LIVIAETS / boxes_tightness_prior
  Oral presentation at MIDL 2020 - Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
  ☆46Updated 4 years ago
• tiangexiang / BiO-Net
  [MICCAI 2020] BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture
  ☆62Updated 4 years ago
• fayjie92 / FSMS-Surrogate
  Semi-supervised few-shot learning for medical image segmentation
  ☆26Updated 4 years ago