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@cuneytozdemir
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This extension provides AI-powered automatic 3D foot segmentation from medical images using deep learning.

Features:

  • 3D U-Net architecture
  • ONNX Runtime for fast inference
  • Automatic sliding window inference

Authors: Cuneyt Ozdemir (Siirt University), Mehmet Ali Gedik (Kutahya Health Sciences University)

@lassoan
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lassoan commented Jan 8, 2026

Please submit the extension description file in .json format - see all the other extensions as examples. Thank you!

@lassoan
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lassoan commented Jan 8, 2026

Thanks for the update. Please fix the errors that the automatic checks have found - see here and here.

@lassoan
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lassoan commented Jan 9, 2026

Thanks for the update! A few things that I would recommend to fix:

  • install onnx runtime automatically when the user starts the segmentation
  • add a sample data set (find a suitable one in a public image database, upload it as a release asset into your repository, and in your module register that in SampleData module at startup)
  • images in your github repository readme.md file are not visible (probably the images were moved)

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2 participants