Join me on @megapot! Earn extra points by using my mini app link below
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Join me on @megapot! Earn extra points by using my mini app link below
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Our physicists and engineers just implemented an open-source AI model called TotalSegmentator. It’s a machine learning model that automatically draws 3D outlines around organs and tissues on CT scans — like the lungs, liver, even individual muscles. DOI: 10.1038/s41467-023-36337-4 Normally, this kind of segmentation takes hours to days of manual work. TotalSegmentator does it in minutes. I just check it for small errors and fix them if needed. Because I’m working with whole-body PET/CT, this is an absolute game-changer. I’ve basically shaved off 1–3 weeks of boring data wrangling per dataset using open-source AI. Bottom line: what used to support maybe 1–2 studies can now power 10+ new analyses from a single scan. Total segmentation = total acceleration. The only sad part? The best way to say thanks, is to cite the authors and/or star their GitHub repo — which feels a bit underwhelming for saving me 3 weeks of soul-crushing VOI drawing.
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