HaipengXiong / weighted-hausdorff-loss
A loss function (Weighted Hausdorff Distance) for object localization in PyTorch
☆90Updated 6 years ago
Alternatives and similar repositories for weighted-hausdorff-loss:
Users that are interested in weighted-hausdorff-loss are comparing it to the libraries listed below
- Official PyTorch implementation of "Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network"☆73Updated 3 years ago
- matlab and python wrap of crf and dense crf, both 2d and 3d are supported☆169Updated 2 years ago
- Official PyTorch implementation of "End to End Trainable Active Contours via Differentiable Rendering"☆93Updated 5 years ago
- Implementation of Hausdorff loss function for DNN learning in segmentation tasks.☆63Updated 7 months ago
- SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth☆68Updated 5 years ago
- Code for our arxiv preprint: https://arxiv.org/abs/1904.05236☆34Updated 5 years ago
- Image-and-Spatial Transformer Networks☆108Updated 2 years ago
- An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.☆75Updated last month
- Oral presentation at MIDL 2020 - Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision☆45Updated 3 years ago
- ☆57Updated 4 years ago
- pyTorch implementation of clDice☆28Updated 5 years ago
- Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".☆43Updated 5 years ago
- Probabilistic Dense Displacement Network (3D discrete deep learning registration)☆63Updated 3 years ago
- Code of our MIDL 2018 paper and MedIA extension: https://arxiv.org/abs/1805.04628☆68Updated 5 years ago
- 3D volume data augmentation package inspired by albumentations☆79Updated 5 years ago
- ☆36Updated 2 years ago
- ☆95Updated 5 years ago
- Non-local U-Nets for Biomedical Image Segmentation☆105Updated 4 years ago
- Code for MICCAI2020 paper "An Elastic Interaction-Based Loss Function for Medical Image Segmentation"☆38Updated last year
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆110Updated last year
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆53Updated last year
- Autofocus Layer for Semantic Segmentation☆180Updated 5 years ago
- WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images☆40Updated 6 months ago
- Elastic Boundary Projection for 3D Medical Image Segmentation - CVPR 2019☆65Updated 5 years ago
- A coarse-to-fine framework for organ segmentation from abdominal CT scan☆50Updated 4 years ago
- Implementation of active contour loss function☆200Updated 4 years ago
- semi-supervised and task driven data augmentation code to improve segmentation performance☆57Updated last year
- 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
- Constrained Domain Adaptation for Segmentation☆29Updated 2 years ago
- PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images☆41Updated 3 years ago