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Article

Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation.

Computers in biology and medicine - 1 Sept 2022

Qi Ailiang, Zhao Dong, Yu Fanhua, Heidari Ali Asghar, Wu Zongda, Cai Zhennao, Alenezi Fayadh, Mansour Romany F, Chen Huiling, Chen Mayun

Abstract excerpt

This paper focuses on the study of Coronavirus Disease 2019 (COVID-19) X-ray image segmentation technology. We present a new multilevel image segmentation method based on the swarm intelligence algorithm (SIA) to enhance the image segmentation of COVID-19 X-rays. This paper first introduces an improved ant colony optimization algorithm, and later details the directional crossover (DX) and directional mutation...

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Identifiers

PMID: 35868049
DOI: 10.1016/j.compbiomed.2022.105810
PMCID: PMC9278012

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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