A Hybrid Machine Learning Based Cuckoo Search Clustering with Application of Image Recognition Techniques for Tomato Flu Skin Lesion Detection
摘要
The global pandemic has led to the emergence of COVID-19 and monkeypox viruses, including a new viral disease called “tomato flu” or “tomato fever” in Kerala, India in 2022. The virus is known to as “tomato flu” because it makes red, spherical skin blisters that resemble like tomatoes. This article discusses the latest image detection techniques for detecting tomato flu skin lesion, combining bioinspired machine learning (Bio-ML) based cuckoo search clustering (CSC). The CSC model has shown superior performance compared to other existing models, achieving an accuracy of 80%, F1-measure of 86%, and an error rate of 20%.