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

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

PURPOSE:To compare the accuracy and repeatability of emerging machine learning based (i.e. deep) automatic segmentation algorithms with those of well-established semi-automatic (interactive) methods for determining liver volume in living liver transplant donors at computerized tomography (CT) imagin...

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Bibliographic Details
Main Authors: A. Emre Kavur, Naciye Sinem Gezer, Mustafa Barış, Yusuf Şahin, Savaş Özkan, Bora Baydar, Ulaş Yüksel, Çağlar Kılıkçıer, Şahin Olut, Gözde Bozdağı Akar, Gözde Ünal, Oğuz Dicle, M. Alper Selver
Format: Article
Language:English
Published: Galenos Publishing House 2020-01-01
Series:Diagnostic and Interventional Radiology
Online Access: http://www.dirjournal.org/archives/archive-detail/article-preview/comparison-of-semi-automatic-and-deep-learning-bas/54822

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http://www.dirjournal.org/archives/archive-detail/article-preview/comparison-of-semi-automatic-and-deep-learning-bas/54822

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