Fractal dimension: analyzing its potential as a neuroimaging biomarker for brain tumor diagnosis using machine learning.

Battalapalli, Dheerendranath; Vidyadharan, Sreejith; Prabhakar Rao, B V V S N; Yogeeswari, P; Kesavadas, C; Rajagopalan, Venkateswaran

Battalapalli, Dheerendranath; Vidyadharan, Sreejith; Prabhakar Rao, B V V S N; Yogeeswari, P; Kesavadas, C; Rajagopalan, Venkateswaran.

Afiliação

Battalapalli D; Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani, Hyderabad Campus, Hyderabad, India.
Vidyadharan S; Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani, Hyderabad Campus, Hyderabad, India.
Prabhakar Rao BVVSN; Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani, Hyderabad Campus, Hyderabad, India.
Yogeeswari P; Department of Pharmacy, Birla Institute of Technology and Science Pilani, Hyderabad Campus, Hyderabad, India.
Kesavadas C; Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India.
Rajagopalan V; Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani, Hyderabad Campus, Hyderabad, India.

Front Physiol ; 14: 1201617, 2023.

Article em En | MEDLINE | ID: mdl-37528895

Palavras-chave

biomarker; brain magnetic resonance imaging; fractal dimension; high-grade glioma; low-grade glioma; texture feature

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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PubMed Links

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article