Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images

Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images

Background and purpose: MRI images timely and accurately reflect ischemic injuries to the brain tissues and, therefore, can support clinical decision-making of acute ischemic stroke (AIS). To maximize the information provided by the MRI images, we leverage deep learning models to segment, classify,...

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Bibliographic Details
Main Authors: Yi-Chia Wei, Wen-Yi Huang, Chih-Yu Jian, Chih-Chin Heather Hsu, Chih-Chung Hsu, Ching-Po Lin, Chi-Tung Cheng, Yao-Liang Chen, Hung-Yu Wei, Kuan-Fu Chen
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:NeuroImage: Clinical
Subjects:
SGD-net
SGD-net plus
Acute ischemic stroke
Diffusion-weighted imaging
Joint segmentation and classification
Lesion distribution and mapping
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158222001097

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http://www.sciencedirect.com/science/article/pii/S2213158222001097

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