Segmenting and classifying skin lesions using a fruit fly optimization algorithm with a machine learning framework

Segmenting and classifying skin lesions using a fruit fly optimization algorithm with a machine learning framework

The deadliest forms of skin cancer, melanomas have a large fatality rate. In the United States of America, 196,060 new cases of melanoma are anticipated in 2020. In the past, many automated methods for diagnosing skin lesions have been proposed, but they have not yet proven to be very accurate. Base...

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Bibliographic Details
Main Authors: R. Sonia, Jesla Joseph, D. Kalaiyarasi, N. Kalyani, Amara S. A. L. G. Gopala Gupta, G. Ramkumar, Hesham S. Almoallim, Sulaiman Ali Alharbi, S.S. Raghavan
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Automatika
Subjects:
Skin lesion
machine learning
segmentation
Online Access:https://www.tandfonline.com/doi/10.1080/00051144.2023.2293515

Internet

https://www.tandfonline.com/doi/10.1080/00051144.2023.2293515

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