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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Vydáno v:	Biomedical signal processing and control Ročník 91; s. 106093
Hlavní autoři:	Yang, Yuxia, Chaoluomeng, Razmjooy, Navid
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.05.2024
Témata:	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
On-line přístup:	Získat plný text
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