MIC-DKFZ / medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
☆1,322Updated 9 months ago
Alternatives and similar repositories for medicaldetectiontoolkit:
Users that are interested in medicaldetectiontoolkit are comparing it to the libraries listed below
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,127Updated last week
- SOTA medical image segmentation methods based on various challenges☆1,579Updated last year
- nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without ma…☆571Updated 8 months ago
- A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation☆713Updated 6 years ago
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis☆760Updated 2 months ago
- [unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy☆1,376Updated 4 years ago
- A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation☆1,806Updated 8 months ago
- A medical imaging framework for Pytorch☆864Updated 11 months ago
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆448Updated last year
- ☆532Updated 2 years ago
- Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet projec…☆2,009Updated last year
- Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in Me…☆681Updated last year
- A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation☆371Updated 6 years ago
- Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation☆1,996Updated 3 weeks ago
- A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning☆411Updated last year
- Medical imaging processing for AI applications.☆2,152Updated this week
- tracking medical datasets, with a focus on medical imaging☆838Updated last week
- U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI☆747Updated 2 years ago
- Awesome GAN for Medical Imaging☆2,330Updated 2 years ago
- Library to compute surface distance based performance metrics for segmentation tasks.☆557Updated last month
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory☆450Updated 7 months ago
- Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"☆394Updated 4 years ago
- TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes☆544Updated 2 years ago
- Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/a…☆372Updated 3 years ago
- Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation☆1,960Updated 4 years ago
- MICCAI 2019-2023 Open Source Papers☆1,268Updated last year
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆390Updated 3 years ago
- Automated lung segmentation in CT☆690Updated 11 months ago
- Medical image processing in Python☆589Updated 7 months ago
- Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans☆1,043Updated 8 months ago