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Status: Unchecked ×Keyword: liver tumor growth ×Clear all

2 claims from 1 paper

1. Computer Science › Metaheuristic Optimization Algorithms Research

   Liver Cancer Algorithm: A novel bio-inspired optimizer

   Houssein, Oliva, Samee, Mahmoud and Emam · Computers in Biology and Medicine · 2023

   The paper proposes the Liver Cancer Algorithm, an optimiser inspired by liver tumour growth, and tests it on benchmark functions and on feature selection for biomedical classification with a support vector machine.

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   1. UncheckedIn the authors' experiments, the Liver Cancer Algorithm outperformed the other methods tested on benchmark maths problems and on feature selection.“The experimental results indicate that the LCA algorithm surpasses other methods to solve mathematical benchmark problems and feature selection.”
   2. UncheckedThe paper reports that its LCA-SVM classifier reached 98.704% accuracy on the MonoAmine Oxidase (MAO) dataset, its best result of twelve datasets.“In particular, the LCA-SVM model achieved an impressive accuracy of 98.704% on the MAO dataset.”