Open AccessCan 3D artificial intelligence models outshine 2D ones in the detection of intracranial metastatic tumors on magnetic resonance images?
Author(s) -
Ying-Chou Sun,
Ang-Ting Hsieh,
Ssu-Ting Fang,
HsiuMei Wu,
Liang-Wei Kao,
WenYuh Chung,
Hung-Hsun Chen,
Kang-Du Liou,
Yang Lin,
WanYuo Guo,
Henry Horng-Shing Lu
Publication year - 2021
Publication title -
journal of the chinese medical association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.535
H-Index - 42
eISSN - 1728-7731
pISSN - 1726-4901
DOI - 10.1097/jcma.0000000000000614
Subject(s) - medicine , magnetic resonance imaging , glioblastoma , artificial intelligence , pathology , radiology , cancer research , computer science
This study aimed to compare the prediction performance of two-dimensional (2D) and three-dimensional (3D) semantic segmentation models for intracranial metastatic tumors with a volume ≥ 0.3 mL.