Segmenting and classifying skin lesions using a fruit fly optimization algorithm with a machine learning framework-Reference-Cited by-同舟云学术

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

Published:2023-12-26 Issue:1 Volume:65 Page:217-231
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Sonia R.¹,Joseph Jesla²,Kalaiyarasi D.³,Kalyani N.⁴,Gopala Gupta Amara S. A. L. G.⁵,Ramkumar G.⁶,Almoallim Hesham S.⁷,Alharbi Sulaiman Ali⁸,Raghavan S.S.⁹

Affiliation:

1. Department of Computer Applications, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India

2. School of CSA, REVA University, Bangalore, India

3. Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, India

4. Department of Computer Science and Engineering, R. M. K College of Engineering and Technology, Thiruvallur, India

5. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India

6. Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India

7. Department of Oral and Maxillofacial Surgery, College of Dentistry, King Saud University, Riyadh, Saudi Arabia

8. Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia

9. Department of Health Sciences, University of Texas Health Science Center, Tyler, USA

Funder

King Saud University

Publisher

Informa UK Limited

Subject

General Computer Science,Control and Systems Engineering

Link

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

Reference32 articles.

1. A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features

2. A hierarchical three-step superpixels and deep learning framework for skin lesion classification

3. An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning

4. Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM

5. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM)

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