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Description
We trained an nnU-Net machine learning algorithm to auto-segment abdominal CT scans to construct a personalized three-dimensional model of liver, tumor, and biliary anatomy. As a proof-of-concept, we applied our nnU-Net model to verify liver volume drainage territory in cases of low level obstructions with a liver drainage volume of 100%.
Program Affiliation
Medical Students Summer in Oncology at Anderson Research
Publication Date
Summer 7-26-2024
Keywords
malignancy, hyperbilirubinemia, bile duct obstruction, biliary drainage
Recommended Citation
Kempen, Ryan P.; Mi, Brayden; Pal, Koustav; Paolucci, Iwan; Fuentes, David T.; Lin, Ethan Y.; and Tam, Alda L., "Dedicated Drained Liver Volume Measurement after Percutaneous Biliary Drain Placement: A Personalized Three-Dimensional Volumetry Model" (2024). Students Summer in Oncology at Anderson Research (SOAR). 14.
https://openworks.mdanderson.org/soar24/14
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