RU-Net: skull stripping in rat brain MR images after ischemic stroke with rat U-Net

Background Experimental ischemic stroke models play a fundamental role in interpreting the mechanism of cerebral ischemia and appraising the development of pathological extent. An accurate and automatic skull stripping tool for rat brain image volumes with magnetic resonance imaging (MRI) are crucia...

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Veröffentlicht in:	BMC medical imaging Jg. 23; H. 1; S. 44 - 14
Hauptverfasser:	Chang, Herng-Hua, Yeh, Shin-Joe, Chiang, Ming-Chang, Hsieh, Sung-Tsang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 27.03.2023 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Algorithms Animal experimentation Animals Brain Brain - diagnostic imaging Brain segmentation Coders Datasets Deep learning Image processing Image Processing, Computer-Assisted - methods Image segmentation Imaging Ischemia Ischemic Stroke Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Medicine Medicine & Public Health MRI Neural networks Neuroimaging Radiology Rats Rodents Skull Skull stripping Stroke Stroke (Disease) Stroke - diagnostic imaging Tomography U-Net Deep learning Brain segmentation Skull stripping Ischemic stroke MRI U-Net
ISSN:	1471-2342, 1471-2342
Online-Zugang:	Volltext
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