Automated Segmentation of Infarct Lesions in T1-Weighted MRI Scans Using Variational Mode Decomposition and Deep Learning

Automated Segmentation of Infarct Lesions in T1-Weighted MRI Scans Using Variational Mode Decomposition and Deep Learning

Automated segmentation methods are critical for early detection, prompt actions, and immediate treatments in reducing disability and death risks of brain infarction. This paper aims to develop a fully automated method to segment the infarct lesions from T1-weighted brain scans. As a key novelty, the...

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Bibliographic Details
Main Authors: May Phu Paing, Supan Tungjitkusolmun, Toan Huy Bui, Sarinporn Visitsattapongse, Chuchart Pintavirooj
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
brain infarction
stroke
U-Net
variational mode decomposition
Online Access:https://www.mdpi.com/1424-8220/21/6/1952

Internet

https://www.mdpi.com/1424-8220/21/6/1952

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