Classification and Location of Cerebral Hemorrhage Points Based on SEM and SSA-GA-BP Neural Network

In this paper, a method to fast classify (Intradural hemorrhage, epidural hemorrhage, and cerebral parenchymal hemorrhage) and locate the bleeding points by using the Singularity Expansion Method (SEM) and Backpropagation (BP) neural network optimized by genetic algorithm (GA) and Sparrow Search Alg...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 73; S. 1
Hauptverfasser:	Li, Qinwei, Wang, Lunxiao, Lu, Xiaoguang, Ding, Dequan, Zhao, Yang, Wang, Jianwei, Li, Xinze, Wu, Hang, Zhang, Guang, Yu, Ming, Han, Ping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Back propagation networks Biological neural networks Bleeding Brain modeling Classification Classification of cerebral hemorrhage Computer simulation Electromagnetics Genetic algorithms Hemorrhage Hemorrhaging Localization Localization of cerebral hemorrhage Magnetic resonance imaging Microwave devices Microwave imaging Microwave signal Neural networks Search algorithms Simulation models Singularity Expansion Method (SEM) Sparrow Search Algorithm-Genetic algorithm-back propagation (SSA-GA-BP) neural network
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
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