Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors

PURPOSE: We aimed to compare the accuracy and repeatability of emerging machine learning-based (i.e., deep learning) automatic segmentation algorithms with those of well-established interactive semi-automatic methods for determining liver volume in living liver transplant donors at computed tomograp...

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Bibliografiske detaljer
Udgivet i:Diagn Interv Radiol
Main Authors: Kavur, A. Emre, Gezer, Naciye Sinem, Barış, Mustafa, Şahin, Yusuf, Özkan, Savaş, Baydar, Bora, Yüksel, Ulaş, Kılıkçıer, Çağlar, Olut, Şahin, Akar, Gözde Bozdağı, Ünal, Gözde, Dicle, Oğuz, Selver, M. Alper
Format: Artigo
Sprog:Inglês
Udgivet: Turkish Society of Radiology 2020
Fag:
Abdominal Imaging
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7075579/
https://ncbi.nlm.nih.gov/pubmed/31904568
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5152/dir.2019.19025
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