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DEEP-BTS: Deep Learning based Brain Tissue Segmentation using ResU-Net Model Cover

DEEP-BTS: Deep Learning based Brain Tissue Segmentation using ResU-Net Model

Measurement Science Review
Volume 25 (2025): Issue 6 (December 2025)
By: P Sivaprakash,  J Banumathi,  Ashis Kumar Mishra and  P Jayapriya  
Open Access
|Dec 2025

Authors

P Sivaprakash

sivaprakashcse0402@gmail.com

Department of Computer Science and Engineering (AI & ML), Rathinam Technical Campus, Eachanari, Coimbatore, India

J Banumathi

banumathi@ucen.ac.in

Department of Computer Science and Engineering, University College of Engineering, Nagercoil, India

Ashis Kumar Mishra

akmishracse@outr.ac.in

School of Computer Sciences, Odisha University of Technology and Research (OUTR), Bhubaneswar, India

P Jayapriya

jayapriy@gmail.com

Department of Computer Science and Engineering, Dr. N.G.P Institute of Technology, Coimbatore, India
DOI: https://doi.org/10.2478/msr-2025-0041 | Journal eISSN: 1335-8871
Journal RSS Feed
Language: English
Page range: 371 - 379
Submitted on: Feb 21, 2025
|
Accepted on: Sep 8, 2025
|
Published on: Dec 23, 2025
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
brain tissue segmentation,
contrast stretching adaptive trilateral filter,
cerebrospinal fluid,
gray matter,
white matter
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2025 P Sivaprakash, J Banumathi, Ashis Kumar Mishra, P Jayapriya, 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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