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.
☆1,358Jun 17, 2024Updated 2 years ago
Alternatives and similar repositories for medicaldetectiontoolkit
Users that are interested in medicaldetectiontoolkit are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without ma…☆657Aug 9, 2026Updated last month
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,173Jun 16, 2026Updated 3 months ago
- Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet projec…☆2,265Nov 27, 2025Updated 9 months ago
- SOTA medical image segmentation methods based on various challenges☆1,676Dec 12, 2023Updated 2 years ago
- A medical imaging framework for Pytorch☆872Apr 26, 2024Updated 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.
- [unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy☆1,374Apr 21, 2020Updated 6 years ago
- ☆8,895Updated this week
- This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MI…☆51Dec 8, 2022Updated 3 years ago
- A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation☆1,918Jul 25, 2024Updated 2 years ago
- Medical imaging processing for AI applications.☆2,443Aug 1, 2026Updated last month
- Awesome GAN for Medical Imaging☆2,360May 29, 2022Updated 4 years ago
- AI Toolkit for Healthcare Imaging☆8,691Updated this week
- A collection of loss functions for medical image segmentation☆4,004Nov 1, 2023Updated 2 years ago
- Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation☆2,066Nov 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.
- [MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns t…☆791Aug 25, 2026Updated 3 weeks ago
- Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in Me…☆732Mar 19, 2024Updated 2 years ago
- Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation☆2,229Nov 6, 2025Updated 10 months ago
- Deep Learning Toolkit for Medical Image Analysis☆1,458Mar 24, 2023Updated 3 years ago
- Deep Learning Papers on Medical Image Analysis☆1,609Apr 1, 2022Updated 4 years ago
- Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans☆1,064Aug 4, 2024Updated 2 years ago
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory☆462Aug 15, 2024Updated 2 years ago
- Medical image processing in Python☆621Sep 3, 2024Updated 2 years ago
- 3D U-Net model for volumetric semantic segmentation written in pytorch☆2,420Dec 16, 2025Updated 9 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A SlidingWindow-Free Accurate and Fast 3D Medical Image Segmentation Framework☆121Feb 21, 2019Updated 7 years ago
- Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"☆405Jul 14, 2020Updated 6 years ago
- Automated lung segmentation in CT☆796Jul 21, 2026Updated last month
- The solution of team 'grt123' in DSB2017☆1,241Jun 28, 2023Updated 3 years ago
- tracking medical datasets, with a focus on medical imaging☆927Mar 28, 2025Updated last year
- AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation☆148Aug 24, 2022Updated 4 years ago
- Unsupervised Learning for Image Registration☆2,751Sep 11, 2026Updated last week
- TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes☆571Dec 8, 2022Updated 3 years ago
- Scripts for the preprocessing of LIDC-IDRI data☆83Dec 17, 2019Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation☆759Jul 6, 2018Updated 8 years ago
- Uncertainty in Medical Image Analysis☆318Nov 6, 2021Updated 4 years ago
- [MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation☆223Jun 24, 2020Updated 6 years ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆404Apr 30, 2021Updated 5 years ago
- Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN…☆26Jan 2, 2021Updated 5 years ago
- MICCAI 2019-2023 Open Source Papers☆1,292Nov 1, 2023Updated 2 years ago
- A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning☆423May 10, 2023Updated 3 years ago