Awesome medical imaging
A curated list of open-source software tools for medical imaging research, including segmentation, visualization, and deep learning libraries.
What is Awesome medical imaging?
Awesome Medical Imaging is a curated GitHub repository listing essential open-source software tools for medical imaging research. It aggregates libraries and applications for tasks like image segmentation, registration, visualization, and deep learning analysis, specifically tailored for modalities such as MRI, fMRI, and PET. The collection helps researchers streamline their workflows by providing a centralized reference for reliable, community-vetted tools.
Medical imaging researchers, computational neuroscientists, radiologists, and developers working on image analysis pipelines in academic, clinical, or industry settings. It's particularly valuable for those handling neuroimaging data or building processing workflows.
It saves time by curating the most practical and widely-used open-source tools in one list, reducing the need to search scattered resources. The list focuses on software with proven utility in real research, emphasizing interoperability and community support over commercial alternatives.
Overview
Awesome list of software that I use to do research in medical imaging.
Use Cases
Best For
- Finding open-source alternatives for medical image segmentation and registration
Related Projects
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