Emory-HITI / Niffler
Niffler: A DICOM Framework for Machine Learning and Processing Pipelines.
☆93Updated last year
Alternatives and similar repositories for Niffler:
Users that are interested in Niffler are comparing it to the libraries listed below
- Conversion tool/library for converting whole slide images to DICOM☆82Updated last month
- High-level DICOM abstractions for the Python programming language☆190Updated this week
- Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comp…☆176Updated this week
- mercure DICOM Orchestrator☆70Updated this week
- MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in cl…☆102Updated 8 months ago
- ☆50Updated last year
- best effort anonymization for medical images using python☆152Updated 3 weeks ago
- Processing Library and Analysis Toolkit for Medical Imaging in Python☆122Updated 2 months ago
- End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Ma…☆60Updated 4 years ago
- Notebooks for working with The Cancer Imaging Archive datasets. Have you written one? Submit a PR!☆101Updated this week
- Python package for DICOM-SEG medical segmentation file reading and writing☆84Updated last year
- Tool to anonymize DICOM files according to the DICOM standard☆112Updated last month
- MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imagi…☆98Updated last week
- MONAI Deploy Informatics Gateway facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggerin…☆28Updated 5 months ago
- Precision medicine toolbox☆69Updated 10 months ago
- Website for NA-MIC Project Weeks☆85Updated last week
- Interoperable web-based DICOM slide microscopy viewer and annotation tool☆128Updated last week
- ☆18Updated last year
- Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021☆81Updated 2 years ago
- Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hiera…☆77Updated 4 months ago
- Medical Image Radiomics Processor☆61Updated last week
- ☆24Updated last month
- TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.☆24Updated last year
- Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: h…☆184Updated last year
- Repository for activities of the machine learning committee☆65Updated 4 months ago
- prostatecancer.ai is an AI-based, zero-footprint medical image viewer that can identify clinically significant prostate cancer.☆67Updated 2 years ago
- New UI for Orthanc☆47Updated this week
- Transparent and reproducible medical image processing pipelines in Python.☆42Updated this week
- Materials for the 2021 MONAI Bootcamp☆108Updated 3 years ago
- Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and Simpl…☆97Updated 2 months ago