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21 October 2024
Reseach Article

Artificial Bee Colony (ABC) optimization Algorithm based Automatic Segmentation and Detection of Suspicious Lesions in Lung CT Images

by Divya A., Janaki Sathya D.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 41
Year of Publication: 2024
Authors: Divya A., Janaki Sathya D.
10.5120/ijca2024924018

Divya A., Janaki Sathya D. . Artificial Bee Colony (ABC) optimization Algorithm based Automatic Segmentation and Detection of Suspicious Lesions in Lung CT Images. International Journal of Computer Applications. 186, 41 ( Sep 2024), 7-13. DOI=10.5120/ijca2024924018

@article{ 10.5120/ijca2024924018,
author = { Divya A., Janaki Sathya D. },
title = { Artificial Bee Colony (ABC) optimization Algorithm based Automatic Segmentation and Detection of Suspicious Lesions in Lung CT Images },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2024 },
volume = { 186 },
number = { 41 },
month = { Sep },
year = { 2024 },
issn = { 0975-8887 },
pages = { 7-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number41/artificial-bee-colony-abc-optimization-algorithm-based-automatic-segmentation-and-detection-of-suspicious-lesions-in-lung-ct-images/ },
doi = { 10.5120/ijca2024924018 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-09-27T00:46:31+05:30
%A Divya A.
%A Janaki Sathya D.
%T Artificial Bee Colony (ABC) optimization Algorithm based Automatic Segmentation and Detection of Suspicious Lesions in Lung CT Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 41
%P 7-13
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the increasing reporting cases of lung cancer there is an increasing demand for the detecting of the tumor at the initial state. With various computer aided algorithmized detection schemes doing a better job in the detection, the accuracy of these detection schemes could be always improved by introducing the newer optimization algorithms. The Artificial Bee Colony (ABC) optimisation algorithm is a novel optimisation technique that proceeds with the assumption of the existence of operations that resembles the biological behaviours of the honey bee in searching for food. For instance, each solution represents the food source locations and the bees are involved in finding the best solution. The fitness value, strongly linked to the solution, refers to the quality of the solution. With this optimisation algorithm the threshold levels are determined which then segments the various pixels into clusters thereby as a result the tumour region is correctly segmented with a better accuracy than the other algorithms. The artificial bee colony algorithm demonstrates robustness to image variability, evidenced by its high accuracy of 97.94%. Additionally, it provides detailed visualization of the shape of abnormal tissue around the lesion area.

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Index Terms

Computer Science
Information Sciences

Keywords

Tumour segmentation Lung CT image ABC algorithm