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MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

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          MedShapeNet: A Large-scale Dataset of 3D Medical Shapes (paper, presentation, website, download)

                        pip install MedShapeNetCore , MedShapeNetCore Show Case

Table of Contents

Overview
Contribution Guidelines

Installation
References
Contributors
List of Related Publications
Contact

gallery

Overview

MEDSHAPENET FEEDBACK is a platform for researchers to contribute shapes, provide feedbacks (e.g., report corrupted shapes for removal, suggest improvements) and showcase their own research/applications utilizing MedShapeNet. It is an important mean of communication for MedShapeNet developers, users and contributors for continuously refining the database and promoting the translation of shape-realted methods from computer vision to medical applications. Shape contributors have the chance of being listed as collaborators of the MedShapeNet project upon request. For more details about the project, please check out our paper and website.

Guidelines

By filing a pull request or opening an issue in this repository, you can:

  • Report Issues: report to us corrupted/incorrect/unusable shapes you found or request removal of certain shapes if you are the owners of the original datasets. [issue]
  • Contribute Shapes: contribute medical shapes extracted from your own datasets. [issue]
  • Showcase Research/Applications: describe your research/project that utilizes MedShapeNet by creating a new folder in this repository, following this example. [pull request]
  • Suggest Improvement: tell us the desired functions you want in the MedShapeNet web interface. [issue]

Follow the following templates for issues and pull requests:

report issues

search query of the shape(s):
description of the problem:
(optional) screenshot of the problematic shape(s):

contribute shapes

link to dataset(s):
description of the dataset(s): publications, technical report, etc.
contributor information: name, affiliation, homepage
other comments:

showcase your research

Formatting is flexible. You can find existing examples here and here

suggest improvement

Installation

pip install MedShapeNetCore

For detailed usage, refer to this Google CoLab.

References

If you use MedShapeNet in your research, please cite MedShapeNet as:

@article{li2023medshapenet,
  title={MedShapeNet--A Large-Scale Dataset of 3D Medical Shapes for Computer Vision},
  author={Li, Jianning and Pepe, Antonio and Gsaxner, Christina and Luijten, Gijs and Jin, Yuan and Ambigapathy, Narmada and Nasca, Enrico and Solak, Naida and Melito, Gian Marco and Memon, Afaque R and others},
  journal={arXiv preprint arXiv:2308.16139},
  year={2023}
}

Contributors

Refer to our MedShapeNet Paper for a full list of contributors of the project.

List of Related Publications

Refer to the publication page.

Contact

Contact Jianning Li (jianningli.me@gmail.com) for any questions related to MedShapeNet.

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