Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Monai Deploy App Sdk | 74 | 4 months ago | 14 | September 01, 2023 | 60 | apache-2.0 | Jupyter Notebook | |||
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain. | ||||||||||
Niffler | 72 | a year ago | bsd-3-clause | Python | ||||||
Niffler: A DICOM Framework for Machine Learning and Processing Pipelines. | ||||||||||
Automaticanalysis | 70 | 3 months ago | 39 | mit | MATLAB | |||||
Automatic Analysis (aa) | ||||||||||
Healthcare Data Harmonization Dataflow | 34 | 3 months ago | 16 | apache-2.0 | Java | |||||
Dicom Pipeline | 15 | 9 years ago | 4 | bsd-2-clause | Python | |||||
An automated pipeline for reviewing, anonymizing and publishing research DICOM studies | ||||||||||
Radiomics Tools | 14 | 2 years ago | 5 | mit | C++ | |||||
Image processing tools for radiomics analysis | ||||||||||
Dicom_data_pipeline | 10 | 6 years ago | mit | Python | ||||||
A production quality data pipeline for DICOM images segmentation. | ||||||||||
Xnat Pipelines | 9 | 2 years ago | 1 | gpl-3.0 | Python | |||||
XNAT pipelines repository | ||||||||||
Qtim_preprocessor | 6 | 7 years ago | 1 | Python | ||||||
Resources and pipelines used for pre-processing medical imaging data at the Quantitative Tumor Imaging Lab at the Martinos Center (MIT/HST). Includes Docker resources. | ||||||||||
3d Xguide | 5 | 3 years ago | bsd-2-clause | C++ | ||||||