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Med-ImageNet: Open-source Medical Imaging Data Curation for Large-scale AI#

This documentation is a work in progress.

The Med-ImageNet project is currently under development, and this documentation is being updated to reflect the latest progress and features.

Please check back for updates and additional content.

Project Description#

Med-ImageNet is a transformative framework aiming to facilitate access to standardized medical imaging dataset for cancer research and clinical AI applications.

Key Information#

  • 🖼 Project Title: Med-ImageNet

  • 🧬 Objective: Standardize and curate oncology imaging data to support AI-driven cancer research, focusing on auto-segmentation, treatment planning, and monitoring.

  • 🌐 Significance: Tackles the lack of standardized healthcare imaging data, making data FAIR (Findable, Accessible, Interoperable, and Reusable) for machine learning applications.

  • 💻 Innovations: Develops MedImage-Tools for data standardization, providing a comprehensive, open-source dataset for cancer imaging.

  • 🌍 Equity and Inclusion: Prioritizes data inclusivity by representing diverse populations in cancer research.

  • 🤝 Collaboration: Engages with the AI and medical communities to foster collaboration and innovation in cancer research.