krishnabits001 / task_driven_data_augmentationLinks
semi-supervised and task driven data augmentation code to improve segmentation performance
☆57Updated 2 years ago
Alternatives and similar repositories for task_driven_data_augmentation
Users that are interested in task_driven_data_augmentation are comparing it to the libraries listed below
Sorting:
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆115Updated 2 years ago
- PIPO-FAN for multi organ segmentation over partial labeled datasets using pytorch☆64Updated 4 years ago
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆56Updated 2 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆74Updated 2 years ago
- code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation☆124Updated 4 years ago
- SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth☆70Updated 6 years ago
- [TMI'20] Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data☆65Updated 5 years ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆128Updated 2 years ago
- COVID-19 Pneumonia Lesion segmentation network☆88Updated 4 years ago
- Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation☆79Updated 5 years ago
- Code for MICCAI2020 paper "An Elastic Interaction-Based Loss Function for Medical Image Segmentation"☆39Updated 2 years ago
- Code for tutorial at MICCAI 2022☆94Updated 2 years ago
- PyTorch implementation of OrganSegRSTN - CVPR 2018☆108Updated 3 years ago
- Recent progress on domain adaption/generalization for medical image segmentation☆54Updated 4 years ago
- Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation☆14Updated 5 years ago
- Uncertainty-Guided Interactive Refinement for Segmentation☆58Updated 4 years ago
- Evaluation code of CHAOS challenge in MATLAB, Python and Julia languages.☆57Updated 6 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020☆83Updated 4 years ago
- [MICCAI'21 & MICCAI'20] A Codebase for Universal Lesion Detection (DeepLesion SOTA)☆49Updated 3 years ago
- PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans☆113Updated 6 years ago
- Semi-supervised few-shot learning for medical image segmentation☆26Updated 5 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆37Updated 4 years ago
- Multi-task Attention-based Semi-supervised Learning framework for image segmentation☆41Updated 5 years ago
- Constrained Domain Adaptation for Segmentation☆29Updated 3 years ago
- Scripts to work with the chaos challenge☆26Updated 6 years ago
- domain adaptation with CF distance for medical image segmentation☆27Updated 3 years ago
- Source code for BOWDANet☆44Updated 4 years ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 3 years ago
- Solution to MICCAI 2020 ADAM☆38Updated 5 years ago
- Code of our MIDL 2018 paper and MedIA extension: https://arxiv.org/abs/1805.04628☆66Updated 6 years ago