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@ENHANCE-PET

ENHANCE-PET

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ENHANCE: Total-Body PET Imaging Initiative

License GPLv3 Website

🥼 About Us

ENHANCE (Enabling New Horizons for Advanced Networking, Code-sharing, and Education in Total-Body PET Imaging) is a pioneering initiative dedicated to empowering the global PET imaging community. We strive to foster collaboration, drive innovation, and facilitate learning through a robust platform that connects researchers, clinicians, and industry professionals. Together, we're shaping the future of PET imaging for improved diagnostics and patient care.

🔭 Our Vision

The primary objectives of the ENHANCE platform are to:

  • Facilitate the sharing of open-source tools.
  • Provide access to high-quality total-body PET datasets.
  • Offer educational resources that foster interdisciplinary collaboration.
  • Accelerate research and promote innovation in the field of PET imaging.

🌟 Why ENHANCE?

  • Collaboration: We bring together experts from diverse backgrounds to tackle the challenges in PET imaging.
  • Innovation: Access to shared resources and datasets sparks creativity and leads to groundbreaking advancements.
  • Education: Our platform serves as a knowledge hub, offering learning materials and workshops to nurture expertise in PET imaging.

🛠️ Getting Started

To get started with ENHANCE, follow these steps:

  1. Visit our website to learn more about our project.
  2. Check out the ENHANCE GitHub repository for access to our open-source tools and datasets.

📅 Timeline

✅ Published Tools

MOOSE FALCON NIFTI2DICOM

🚧 Upcoming Tools

PUMA Q1 2024 ORCA Q1 2024 LION Q2 2024 OCELOT Q2 2024 ALPACA Q2 2024 PIGEON Q3 2024

💬 Get Involved

We welcome contributions from the community. Here's how you can help:

  • Contribute to our codebase: See our contribution guidelines.
  • Share datasets: If you have datasets you're willing to share, please contact us.

📣 Stay Updated

📩 Contact Us

For general inquiries, please contact us at hello@enhance.pet.


© 2024 ENHANCE-PET Initiative. Empowering PET Imaging Innovation.

Pinned

  1. MOOSE MOOSE Public

    MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet …

    Python 146 25

Repositories

Showing 6 of 6 repositories
  • MOOSE Public

    MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

    Python 146 GPL-3.0 25 3 1 Updated May 31, 2024
  • FALCON Public

    FALCON is a Python-based software application designed to facilitate PET motion correction, both for head and total-body scans. Our program is built around the fast 'greedy' registration toolkit, which serves as the registration engine. With FALCON, users can enjoy a streamlined experience for implementing motion correction.

    Python 36 GPL-3.0 6 3 1 Updated Apr 23, 2024
  • nifti2dicom Public

    Welcome to Nifti2Dicom! Born from countless hours of yelling at screens, this software aims to swap NIfTI for DICOM without inviting any more hair-pulling or infernal uprisings. Because, honestly, who needs another software-induced existential crisis? 🔁💻😫🔥

    Python 10 Apache-2.0 2 5 1 Updated Apr 17, 2024
  • .github Public

    Our vision is to enable a wider adoption of fully-quantitative molecular image information in the context of personalized medicine. Our mission is the advancement of basic correction and quality measures to facilitate the extraction of information and knowledge from clinical images and non-imaging information. We engage in translational research…

    0 0 0 0 Updated Apr 1, 2024
  • FERRET Public

    FERRET - Framework for Enhance: Organized Workflow Library

    Python 5 MIT 1 0 0 Updated Oct 3, 2023
  • Text-Mining-Course Public Forked from davidiommi/Text-Mining-Course

    Course Notes for Text Mining - Prof. Peter Organisciak

    Jupyter Notebook 0 30 0 0 Updated May 9, 2022

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