microsoft / InnerEye-InferenceLinks
Enables inference and deployment of InnerEye-DeepLearning (https://github.com/microsoft/InnerEye-deeplearning) models as an async REST API on Azure
☆20Updated last year
Alternatives and similar repositories for InnerEye-Inference
Users that are interested in InnerEye-Inference are comparing it to the libraries listed below
Sorting:
- AeroPath: An airway segmentation benchmark dataset with challenging pathology☆37Updated last week
- HI-ML toolbox for deep learning for medical imaging and Azure integration☆294Updated last month
- 3D Slicer plugin for automatic segmentation and generation of standardized clinical reports for the most common brain tumors, using MRI v…☆16Updated 3 weeks ago
- Automatic segment and generate masks for any 3D medical images using SAM model without prompt☆14Updated 2 years ago
- MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imagi…☆107Updated this week
- A generalizable application framework for segmentation, regression, and classification using PyTorch☆183Updated last week
- ☆93Updated 5 months ago
- Self-guided notebook tutorials to help get started with IDC☆35Updated last week
- Code used in the paper "CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation"☆13Updated 3 years ago
- MONAI Deploy Informatics Gateway facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggerin…☆30Updated last week
- Official implementation of "EchoTracker: Advancing Myocardial Point Tracking in Echocardiography". (MICCAI 2024)☆44Updated 8 months ago
- Material for the 2020 MONAI Bootcamp☆65Updated 4 years ago
- ☆119Updated 2 years ago
- Boltzmann Attention Sampling for Image Analysis with Small Objects☆25Updated this week
- Official Implementation of ECONet: Efficient Convolutional Online Likelihood Network for Interactive Segmentation☆18Updated 2 years ago
- ☆116Updated 2 years ago
- A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)☆149Updated this week
- ☆127Updated 3 weeks ago
- MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.☆48Updated last week
- MONAI Model Zoo that hosts models in the MONAI Bundle format.☆242Updated last month
- Official implementation for "Generative AI for Medical Imaging: extending the MONAI Framework"☆53Updated 2 years ago
- GAN-enhanced Conditional Echocardiogram Generation☆13Updated 2 years ago
- MONAIViz - 3D Slicer Extension☆24Updated last month
- Experiment management for Deep Learning science☆18Updated 4 months ago
- 🚀 H2G-Net: Segmentation of breast cancer region from whole slide images☆27Updated 3 weeks ago
- Simplifying deep learning for medical imaging☆99Updated last year
- MONAI Cloud API developments for intelligent imaging and learning tools, fostering innovation in medical imaging and AI-driven servic…☆29Updated last year
- NVIDIA Clara Viz is a platform for visualization of 2D/3D medical imaging data☆73Updated 3 months ago
- ☆19Updated last year
- ☆30Updated 2 weeks ago