MIC-DKFZ / nnDetectionLinks
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
☆598Updated last week
Alternatives and similar repositories for nnDetection
Users that are interested in nnDetection are comparing it to the libraries listed below
Sorting:
- A collection of papers about Transformer in the field of medical image analysis.☆468Updated 2 years ago
- ☆354Updated last week
- Automated lung segmentation in CT☆715Updated last month
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis☆769Updated 2 months ago
- The official repository of the 2021 Kidney and Kidney Tumor Segmentation Challenge☆178Updated 2 years ago
- Library to compute surface distance based performance metrics for segmentation tasks.☆576Updated 6 months ago
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆452Updated 2 years ago
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆386Updated 2 years ago
- ☆178Updated 4 years ago
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,148Updated 4 months ago
- Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020☆236Updated 4 years ago
- liver segmentation using deep learning☆425Updated 2 years ago
- A PyTorch framework for medical image segmentation☆318Updated last year
- The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"☆251Updated last year
- UniverSeg: Universal Medical Image Segmentation☆559Updated 2 years ago
- [MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation☆214Updated 5 years ago
- [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.☆647Updated 5 months ago
- SOTA medical image segmentation methods based on various challenges☆1,625Updated last year
- This Repo Will contain the Preprocessing Code for 3D Medical Imaging☆207Updated 5 years ago
- ☆241Updated last year
- Medical image registration using deep learning☆597Updated 2 years ago
- [NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)☆281Updated 2 weeks ago
- A package to compute medical segmentation metrics.☆173Updated last year
- This is the preprocessing step of the LIDC-IDRI dataset☆192Updated last year
- Top 10 brats 2020 Solution☆172Updated 4 years ago
- [ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)☆361Updated last month
- Vision Transformer for 3D medical image registration (Pytorch)☆332Updated 2 years ago
- [ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeli…☆444Updated last month
- RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning…☆409Updated last year
- The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up un…☆329Updated 11 months ago