A deep learning model segments whole-penis tissue in DIXON MRI at observer-level accuracy (Dice 0.92) and is deployed on 34k UK Biobank scans for reproducible volumetric phenotyping.
Savenije, Frederik R
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Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health
A deep learning model segments whole-penis tissue in DIXON MRI at observer-level accuracy (Dice 0.92) and is deployed on 34k UK Biobank scans for reproducible volumetric phenotyping.