MECLabTUDA / Med-NCALinks
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata
☆10Updated 2 years ago
Alternatives and similar repositories for Med-NCA
Users that are interested in Med-NCA are comparing it to the libraries listed below
Sorting:
- MICCAI 2024/2025: nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for segmentat…☆114Updated 2 months ago
- ☆39Updated 11 months ago
- ☆74Updated last year
- PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html☆14Updated last year
- PyTorch implementation for our paper on TMI2022: Retinal Vessel Segmentation with Skeletal Prior and Contrastive Loss☆57Updated 8 months ago
- The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides co…☆43Updated last year
- TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction☆34Updated 3 years ago
- [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)☆108Updated 2 years ago
- Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"☆152Updated last year
- The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations☆82Updated 6 months ago
- NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation☆76Updated 8 months ago
- [MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)☆40Updated last year
- ☆34Updated last year
- ☆25Updated 7 months ago
- ☆20Updated last year
- [MIDL 2025] Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders☆147Updated last week
- ☆29Updated 11 months ago
- ☆22Updated 8 months ago
- VFT is a domain generalization model for retinal vessel segmentation that trained on fundus image and test on OCT-A☆19Updated 2 years ago
- Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"☆48Updated last year
- [CVPR‘22] Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization☆107Updated last year
- ☆44Updated 9 months ago
- MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation☆64Updated last year
- [MICCAI 2023] Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images☆33Updated 2 weeks ago
- Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"☆60Updated 2 months ago
- ☆35Updated 3 weeks ago
- 🏆1st place in the MICCAI challenge CrossMoDA 2023☆19Updated last month
- [CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding an…☆59Updated 9 months ago
- FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation☆31Updated last year
- [JBHI2022] A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation☆49Updated 2 years ago