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Keyword: MRI segmentation Clear all
2 claims from 1 paper
Computer Science › Metaheuristic Optimization Algorithms Research
An enhanced animated oat optimization framework for accurate MRI image segmentation
Houssein, Ibrahim, Dirar and Al-Sayed · Scientific Reports · 2026
The paper enhances the Animated Oat Optimization algorithm with two add-ons, tests it on a numerical benchmark suite, and applies it to multilevel Otsu thresholding of diagnostic MRI images.
Unchecked2 claimsShow 2 claims
- UncheckedOn the CEC2022 benchmark, the enhanced AOO + OBL + LEO method had the best overall Friedman mean rank (1.833) and the best mean fitness on 8 of 12 functions.“On the CEC2022 experiments, AOO + OBL + LEO obtains the best overall Friedman mean rank of 1.833 among the compared methods, with the best mean fitness on 8 of the 12 benchmark functions.”
- UncheckedEnhanced Animated Oat Optimization variants gave stable, competitive MRI segmentation under the paper's protocol, with OBL and LEO adding complementary benefits.“The results show that the enhanced AOO variants provide stable and competitive segmentation quality under the adopted experimental protocol, while the ablation results confirm the complementary effects of OBL and LEO.”
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