nnU-Net Deep Learning Method for Segmenting Parenchyma and Determining Liver Volume From Computed Tomography Images.

Rowland W Pettit,Britton B Marlatt,Stuart J Corr,Jim Havelka,Abbas Rana

Annals of surgery open : perspectives of surgical history, education, and clinical approaches（2022）

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摘要

Precise volume estimation of livers from CT scans is accurate using a nnU-Net deep learning architecture. Appropriately deployed, a nnU-Net algorithm is accurate and quick, making it suitable for incorporation into the pretransplant clinical decision-making workflow.

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关键词

computed tomography,deep learning,liver,machine learning,nnunet,segmentation,solid organ transplantation,transplantation,volume

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