ORCID
Doaa El-Shahat: 0000-0003-1681-5039
Nourhan Talal: 0009-0005-9581-3358
Jun Ye: 0000-0003-2841-6529
Wen-Hua Cui: 0000-0001-7281-2575
Article Type
Original Study
Abstract
In this paper, we introduce a hybrid technique between optimization algorithms and neutrosophic theory. This new hybridization can deal with uncertainties in brain computed tomography (CT) images in three different memberships very effectively. To prove the real-time application of this theory, a new segmentation method for brain CT medical images is presented. The grayscale medical image suffers from uncertainties and inconsistencies in the gray levels due to their bad luminance. The proposed technique addressed this problem by performing neutrosophic operations on gray levels based on the S membership function.
How to Cite
El-Shahat, Doaa; Talal, Nourhan; Ye, Jun; and Cui, Wen-Hua
(2025)
"CT Image Segmentation Using Optimization Techniques under Neutrosophic Domain,"
Neutrosophic Systems with Applications: Vol. 16:
Iss.
1, Article 9.
DOI: https://doi.org/10.61356/j.nswa.2024.16203
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
