MIC-DKFZ / nnDetection
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.
☆561Updated 6 months ago
Alternatives and similar repositories for nnDetection:
Users that are interested in nnDetection are comparing it to the libraries listed below
- A collection of papers about Transformer in the field of medical image analysis.☆466Updated last year
- ☆348Updated 2 months ago
- SOTA medical image segmentation methods based on various challenges☆1,565Updated last year
- Automated lung segmentation in CT☆680Updated 9 months ago
- The official repository of the 2021 Kidney and Kidney Tumor Segmentation Challenge☆174Updated last year
- liver segmentation using deep learning☆408Updated last year
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆372Updated last year
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,109Updated 2 months ago
- [MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.☆369Updated 2 months ago
- code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.☆492Updated 4 years ago
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis☆745Updated last week
- [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.☆605Updated last week
- A PyTorch framework for medical image segmentation☆281Updated 9 months ago
- UniverSeg: Universal Medical Image Segmentation☆526Updated last year
- 3DUNet implemented with pytorch☆511Updated 3 years ago
- The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"☆234Updated last year
- A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning☆408Updated last year
- The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up un…☆298Updated 4 months ago
- Implementations of recent research prototypes/demonstrations using MONAI.☆1,049Updated last week
- MONAI Label is an intelligent open source image labeling and learning tool.☆647Updated last week
- MICCAI 2019-2023 Open Source Papers☆1,256Updated last year
- [IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation☆393Updated 7 months ago
- [NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)☆234Updated this week
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆443Updated last year
- SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image☆560Updated last month
- [MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation☆254Updated last year
- [MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation☆199Updated 4 years ago
- Library to compute surface distance based performance metrics for segmentation tasks.☆540Updated last year
- ☆179Updated 4 years ago
- [ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeli…☆407Updated last year