Early detection of brain tumors: Harnessing the power of GRU networks and hybrid dwarf mongoose optimization algorithm

•Novel approach combining deep learning and medical imaging for brain tumor diagnosis.•Gated Recurrent Unit networks optimized by an improved political optimizer.•Ability to analyze large and complex datasets.•High accuracy and early-stage diagnosis capabilities.•Improved political optimizer algorit...

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Veröffentlicht in:	Biomedical signal processing and control Jg. 91; S. 106093
Hauptverfasser:	Yang, Yuxia, Chaoluomeng, Razmjooy, Navid
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.05.2024
Schlagworte:	Brain tumor Deep learning Diagnosis Gated Recurrent Unit Networks Hybrid dwarf mongoose optimization algorithm Medical imaging Brain tumor Deep learning Gated Recurrent Unit Networks Medical imaging Diagnosis Hybrid dwarf mongoose optimization algorithm
ISSN:	1746-8094, 1746-8108
Online-Zugang:	Volltext
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