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.
☆588Updated 2 weeks ago
Alternatives and similar repositories for nnDetection
Users that are interested in nnDetection are comparing it to the libraries listed below
Sorting:
- Automated lung segmentation in CT☆711Updated this week
- Library to compute surface distance based performance metrics for segmentation tasks.☆572Updated 4 months ago
- A collection of papers about Transformer in the field of medical image analysis.☆469Updated 2 years ago
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis☆768Updated 2 weeks ago
- ☆352Updated 5 months ago
- Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020☆233Updated 3 years ago
- The official repository of the 2021 Kidney and Kidney Tumor Segmentation Challenge☆178Updated 2 years ago
- UniverSeg: Universal Medical Image Segmentation☆554Updated last year
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,139Updated 3 months ago
- SOTA medical image segmentation methods based on various challenges☆1,618Updated last year
- [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.☆643Updated 4 months ago
- [MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation☆208Updated 5 years ago
- The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"☆248Updated last year
- [NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)☆276Updated 4 months ago
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆452Updated 2 years ago
- tracking medical datasets, with a focus on medical imaging☆859Updated 3 months ago
- Medical image registration using deep learning☆591Updated 2 years ago
- ☆179Updated 4 years ago
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆383Updated 2 years ago
- A PyTorch framework for medical image segmentation☆313Updated last year
- A package to compute medical segmentation metrics.☆168Updated 11 months ago
- liver segmentation using deep learning☆424Updated 2 years ago
- [ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)☆353Updated this week
- A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning☆414Updated 2 years ago
- This is the preprocessing step of the LIDC-IDRI dataset☆188Updated last year
- [MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.☆415Updated 8 months ago
- Implementations of recent research prototypes/demonstrations using MONAI.☆1,129Updated 2 months ago
- RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning…☆401Updated last year
- ☆238Updated last year
- Top 10 brats 2020 Solution☆172Updated 4 years ago