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BTS-NEUNET: Brain Tissue Segmentation via White Shark Optimized Features Based Nested U-Net Cover

BTS-NEUNET: Brain Tissue Segmentation via White Shark Optimized Features Based Nested U-Net

Measurement Science Review
Volume 26 (2026): Issue 3 (June 2026)
By: A. Jegadeesh,  A. Jegatheesh,  R A Mabel Rose and  Athur Shaik Ali Gousia Banu  
Open Access
|Apr 2026

Authors

A. Jegadeesh

Jeganjn@ijce.ac.in

Department of Computer Science and Engineering, Infant Jesus College of Engineering, Keelavallanadu, India

A. Jegatheesh

abjegatheesh@gmail.com

Department of Electronics and Communication Engineering, Infant Jesus College of Engineering, Keelavallanadu, India

R A Mabel Rose

ramabelrose@panimalar.ac.in

Department of Computer Science and Business Systems, Panimalar Engineering College, Chennai, India

Athur Shaik Ali Gousia Banu

gousiabanu120@outlook.com

Koneru Lakshmaiah Education Foundation, Hyderabad, India
DOI: https://doi.org/10.2478/msr-2026-0014 | Journal eISSN: 1335-8871
Journal RSS Feed
Language: English
Page range: 106 - 116
Submitted on: Apr 18, 2025
|
Accepted on: Dec 31, 2025
|
Published on: Apr 11, 2026
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
brain tissue segmentation,
deep learning,
DenseGoogLe,
White Shark Optimization Algorithm,
Deep Belief Network
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2026 A. Jegadeesh, A. Jegatheesh, R A Mabel Rose, Athur Shaik Ali Gousia Banu, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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