abhi4ssj / few-shot-segmentation
PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans
☆108Updated 5 years ago
Alternatives and similar repositories for few-shot-segmentation:
Users that are interested in few-shot-segmentation are comparing it to the libraries listed below
- [MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset☆127Updated 4 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆110Updated last year
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆71Updated last year
- Semi-supervised few-shot learning for medical image segmentation☆26Updated 4 years ago
- [TMI'20] Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data☆64Updated 4 years ago
- SDNet Keras implementation☆44Updated 4 years ago
- Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".☆43Updated 5 years ago
- Code of our MIDL 2018 paper and MedIA extension: https://arxiv.org/abs/1805.04628☆68Updated 5 years ago
- Code for tutorial at MICCAI 2022