Automated Brain Tumor Detection using Ideal Shallow Neural Network with Artificial Jellyfish Optimization.

Sridhar, S R; Akila, M; Asokan, R

Sridhar, S R; Akila, M; Asokan, R.

Afiliação

Sridhar SR; Department of Computer Science and Engineering, Muthayammal Engineering College, Namakkal, 637408, India.
Akila M; Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore, 641407, India.
Asokan R; Department of Electronics and Communication Engineering, Kongunadu College of Engineering and Technology, Trichy, 621215, India.

Curr Med Imaging ; 2023 Jul 31.

Article em En | MEDLINE | ID: mdl-37519206

Palavras-chave

Artificial Jellyfish Optimization (AJO); Brain Tumor; Gabor Filtering; Grasshopper Optimization Algorithm (GOA) methodology; Ideal Shallow Neural Network (ISNN); Magnetic Resonance Imaging (MRI); Multi-set Feature Extraction; and Centroid Weighted Segmentation (CWS)

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Curr Med Imaging Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google