ai-med / nn-common-modules
Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
☆33Updated 4 years ago
Alternatives and similar repositories for nn-common-modules:
Users that are interested in nn-common-modules are comparing it to the libraries listed below
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆126Updated 2 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 5 years ago
- Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".☆43Updated 6 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆73Updated last year
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆62Updated 8 months ago
- Code for tutorial at MICCAI 2022☆93Updated last year
- COVID-19 Pneumonia Lesion segmentation network☆88Updated 3 years ago
- PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using…☆103Updated 4 years ago
- semi-supervised and task driven data augmentation code to improve segmentation performance☆57Updated last year
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆53Updated last year
- pyTorch implementation of clDice☆29Updated 5 years ago
- Uncertainty-Guided Interactive Refinement for Segmentation☆58Updated 3 years ago
- WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images☆40Updated 8 months ago
- ☆36Updated 2 years ago
- Multi-task Attention-based Semi-supervised Learning framework for image segmentation☆42Updated 4 years ago
- Evaluation code of CHAOS challenge in MATLAB, Python and Julia languages.☆58Updated 5 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆110Updated 2 years ago
- This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MI…☆51Updated 2 years ago
- SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth☆68Updated 6 years ago
- Scripts to work with the chaos challenge☆25Updated 6 years ago
- PIPO-FAN for multi organ segmentation over partial labeled datasets using pytorch☆62Updated 4 years ago
- The Pytorch implementation of the 3D Anisotropic Hybrid Network described in the paper "3D Anisotropic Hybrid Network: Transferring Convo…☆53Updated 6 years ago
- VNet for 3d volume segmentation☆44Updated 4 years ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆142Updated 4 years ago
- All credit goes to the authors listed at https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002699☆33Updated 6 years ago
- winning method for WMH segmentation challenge in MICCAI 2017☆47Updated 4 years ago
- Stochastic Segmentation Networks☆66Updated 4 years ago
- Material of the MICCAI 2020 tutorial on weakly supervised learning for semantic segmentation. The updated tutorial (2021 and onwards) is …☆17Updated 4 years ago
- Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'☆56Updated 2 years ago
- Elastic Boundary Projection for 3D Medical Image Segmentation - CVPR 2019☆65Updated 5 years ago