MedShapeNet: A Large-scale Dataset of 3D Medical Shapes

Prior to the deep learning era, the wide application of statistical shape model (SSM) in the medical domain is evidence that shapes are common in medical imaging. Inspired by the well-known ShapeNet and Princeton ModelNet in computer graphics (CG) and vision (CV), the goal of MedShapeNet is to promote the translation of methods developed in the context of CG/CV to clinical applications.

MedShapeNet contains over 100,000 medical shapes, including bones, organs, vessels, muscles, etc., as well as surgical instruments. You can search, display them in 3D and download the individual shapes by using our shape search engine. Visit the official MedShapeNet website at: https://medshapenet-ikim.streamlit.app/

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Jianning Li

Institute for AI in Medicine, University Hospital Essen, Germany

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Jens Kleesiek

Institute for AI in Medicine, University Hospital Essen, Germany

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Jan Egger

Institute for AI in Medicine, University Hospital Essen, Germany

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