Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network–Corrected Labeling in Magnetic Resonance Imaging–Derived Proton Density Fat Fraction.

This study aimed to propose an efficient method for self-automated segmentation of the liver using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) through deep active learning. We developed an active learning framework for liver segmentation using labeled and unlabeled data...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 34; no. 5; pp. 1225 - 1237
Main Authors:	Cho, Yongwon, Kim, Min Ju, Park, Beom Jin, Sim, Ki Choon, Keu, Yeom Suk, Han, Yeo Eun, Sung, Deuk Jae, Han, Na Yeon
Format:	diagnostic images equations & formulas pictorial research tables/charts Journal Article
Published:	Springer Nature Oct2021
Online Access:	View this record in EBSCOhost