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.
☆2,215Nov 27, 2025Updated 5 months ago
Alternatives and similar repositories for MedicalNet
Users that are interested in MedicalNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation☆1,909Jul 25, 2024Updated last year
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis, one of the first "foundation" models in medical image a…☆781Jun 22, 2025Updated 10 months ago
- ☆8,417Updated this week
- The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net…☆1,353Jun 17, 2024Updated last year
- SOTA medical image segmentation methods based on various challenges☆1,673Dec 12, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,174Updated this week
- AI Toolkit for Healthcare Imaging☆8,165May 11, 2026Updated last week
- MICCAI 2019-2023 Open Source Papers☆1,295Nov 1, 2023Updated 2 years ago
- Medical imaging processing for AI applications.☆2,395May 6, 2026Updated last week
- Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation☆2,057Nov 13, 2020Updated 5 years ago
- 3D U-Net model for volumetric semantic segmentation written in pytorch☆2,396Dec 16, 2025Updated 5 months ago
- MONAI Tutorials☆2,460May 5, 2026Updated last week
- Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation☆2,205Nov 6, 2025Updated 6 months ago
- code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.☆535Nov 13, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A collection of loss functions for medical image segmentation☆4,005Nov 1, 2023Updated 2 years ago
- Awesome GAN for Medical Imaging☆2,361May 29, 2022Updated 3 years ago
- TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes☆574Dec 8, 2022Updated 3 years ago
- Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.☆2,642Jun 7, 2025Updated 11 months ago
- 3D ResNets for Action Recognition (CVPR 2018)☆4,043Jan 20, 2021Updated 5 years ago
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆464Mar 16, 2026Updated 2 months ago
- Paper and implementation of UNet-related model.☆2,589May 21, 2020Updated 5 years ago
- [unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy☆1,377Apr 21, 2020Updated 6 years ago
- nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without ma…☆641Oct 27, 2025Updated 6 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.sl…☆1,411Oct 27, 2025Updated 6 months ago
- Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans☆1,060Aug 4, 2024Updated last year
- Implementations of recent research prototypes/demonstrations using MONAI.☆1,207Oct 6, 2025Updated 7 months ago
- MICCAI2019:3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation☆238Oct 18, 2023Updated 2 years ago
- ☆5,995Nov 19, 2023Updated 2 years ago
- Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"☆404Jul 14, 2020Updated 5 years ago
- Deep Learning Papers on Medical Image Analysis☆1,610Apr 1, 2022Updated 4 years ago
- tracking medical datasets, with a focus on medical imaging☆924Mar 28, 2025Updated last year
- [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification☆1,358Jan 11, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in Me…☆729Mar 19, 2024Updated 2 years ago
- Uncertainty in Medical Image Analysis☆317Nov 6, 2021Updated 4 years ago
- A medical imaging framework for Pytorch☆873Apr 26, 2024Updated 2 years ago
- [IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)☆304Mar 28, 2020Updated 6 years ago
- A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation☆753Jul 6, 2018Updated 7 years ago
- Tool for robust segmentation of >100 important anatomical structures in CT and MR images☆2,699Updated this week
- Unsupervised Learning for Image Registration☆2,718Apr 26, 2026Updated 3 weeks ago