Shap-E for medical imaging
Discover Medical Shap·E, a powerful adaptation of OpenAI’s Shap·E, designed for generating 3D medical imaging assets with Google Colab.
May 7, 2023
Guides, project breakdowns, and lessons learned from building medical imaging platforms — written by the PYCAD team.
Discover Medical Shap·E, a powerful adaptation of OpenAI’s Shap·E, designed for generating 3D medical imaging assets with Google Colab.
Discover how we used the Segment Anything Model (SAM) for medical imaging by reading our latest blog post.
Your medical datasets’ classification model isn’t performing well, right? Try these adjustments; you might be surprised!
This blog post is to show you how to anonymize the dicom files using a few lines of code (Python).
In this blog post, I will give you the best python libraries that can be used for medical imaging.
This blog post is about converting 3D Nifti medical imaging segmentation into 3D STL mesh that can be 3D printed.
We build custom medical imaging platforms — advanced DICOM viewers, AI segmentation, and the clinical systems around them.
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