Alternatives and similar repositories for CNN_MumfordShah_Loss

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

• LIVIAETS / semi_curriculum
  Code for our arxiv preprint: https://arxiv.org/abs/1904.05236
  ☆34Updated 6 years ago
• mathilde-b / CDA
  Constrained Domain Adaptation for Segmentation
  ☆29Updated 3 years ago
• pfnet-research / label-efficient-brain-tumor-segmentation
  ☆21Updated 4 years ago
• rodsom22 / gcn_refinement
  ☆36Updated 2 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
• emma-sjwang / Reading_list
  reading list for deep learning —— PHD life
  ☆31Updated 4 years ago
• lambert-x / CateNorm
  The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"
  ☆32Updated 2 years ago
• SteffenCzolbe / probabilistic_segmentation
  ☆24Updated 4 years ago
• dmitrysarov / clDice
  pyTorch implementation of clDice
  ☆29Updated 5 years ago
• KCL-BMEIS / ScribbleDA
  ☆22Updated 4 years ago
• alainjungo / reliability-challenges-uncertainty
  Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
  ☆55Updated last year
• josedolz / MSL-student-becomes-master
  ☆15Updated 4 years ago
• RK621 / ThreeStageSelftraining_SemanticSegmentation
  This repository is about our work "A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation"
  ☆20Updated 2 years ago
• trypag / NonAdjLoss
  ☆28Updated 5 years ago
• darylfung96 / self-supervised-CT-segmentation
  ☆8Updated 2 years ago
• lxasqjc / Foveation-Segmentation
  PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images
  ☆41Updated 3 years ago
• 502463708 / Confident_Learning_for_Noisy-labeled_Medical_Image_Segmentation
  ☆27Updated 3 years ago
• Pulkit-Khandelwal / medical-mldg-seg
  Code for the MICCAI DART 2020 paper
  ☆32Updated 3 years ago
• cs-xiao / TarGAN
  TarGAN - Official PyTorch Implementation (MICCAI 2021)
  ☆22Updated 4 years ago
• sciai-lab / pytorch-LearnedRandomWalker
  Pytorch implementation of the LearnedRandomWalker module
  ☆29Updated 4 years ago
• LIVIAETS / boxes_tightness_prior
  Oral presentation at MIDL 2020 - Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
  ☆47Updated 4 years ago
• LIVIAETS / miccai_2020-weakly_supervised_tutorial
  Material of the MICCAI 2020 tutorial on weakly supervised learning for semantic segmentation. The updated tutorial (2021 and onwards) is …
  ☆17Updated 4 years ago
• fayjie92 / FSMS-Surrogate
  Semi-supervised few-shot learning for medical image segmentation
  ☆26Updated 4 years ago
• XiaofeiWang2018 / DeepGF
  Database and code of our MICCAI20 paper: "DeepGF: Glaucoma Forecast Using the Sequential Fundus Images"
  ☆19Updated last month
• vanya2v / Multi-modal-learning
  Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI.
  ☆27Updated 6 years ago
• gigantenbein / UNet-Zoo
  Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.
  ☆23Updated 2 years ago
• smallmax00 / Graph_Region_Boudnary
  IEEE-TMI 2021: code for 'Graph-based Region and Boundary Aggregation for Biomedical Image Segmentation'
  ☆31Updated 2 years ago
• krishnabits001 / task_driven_data_augmentation
  semi-supervised and task driven data augmentation code to improve segmentation performance
  ☆57Updated last year
• agis85 / spatial_factorisation
  ☆17Updated 6 years ago