Tencent / MedicalNetLinks
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
☆2,164Updated 2 months ago
Alternatives and similar repositories for MedicalNet
Users that are interested in MedicalNet are comparing it to the libraries listed below
Sorting:
- A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation☆1,897Updated last year
- SOTA medical image segmentation methods based on various challenges☆1,655Updated 2 years ago
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,174Updated 10 months ago
- The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net…☆1,345Updated last year
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis☆773Updated 7 months ago
- MICCAI 2019-2023 Open Source Papers☆1,293Updated 2 years ago
- This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.☆928Updated last month
- ☆533Updated 3 years ago
- Awesome GAN for Medical Imaging☆2,362Updated 3 years ago
- tracking medical datasets, with a focus on medical imaging☆893Updated 10 months ago
- Medical imaging processing for AI applications.☆2,346Updated last week
- MONAI Tutorials☆2,374Updated 3 weeks ago
- Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation☆2,171Updated 2 months ago
- 3D U-Net model for volumetric semantic segmentation written in pytorch☆2,345Updated last month
- [unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy☆1,380Updated 5 years ago
- Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.☆2,594Updated 7 months ago
- Automated lung segmentation in CT☆761Updated 6 months ago
- Implementations of recent research prototypes/demonstrations using MONAI.☆1,189Updated 3 months ago
- Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation☆2,037Updated 5 years ago
- Deep Learning Papers on Medical Image Analysis☆1,609Updated 3 years ago
- nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without ma…☆620Updated 3 months ago
- A medical imaging framework for Pytorch☆869Updated last year
- Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.sl…☆1,365Updated 3 months ago
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆464Updated 2 years ago
- TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes☆572Updated 3 years ago
- A collection of resources on applications of Transformers in Medical Imaging.☆1,285Updated last year
- Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021☆856Updated 2 years ago
- Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans☆1,058Updated last year
- A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation☆747Updated 7 years ago
- U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI☆770Updated 2 years ago