Pipelined Structure in the Classification of Skin Lesions Based on Alexnet CNN and SVM Model With Bi-Sectional Texture Features-Reference-Cited by-同舟云学术

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Pipelined Structure in the Classification of Skin Lesions Based on Alexnet CNN and SVM Model With Bi-Sectional Texture Features

Published:2024 Issue: Volume:12 Page:57366-57380
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sathvika V. S. S. Bala Tripura¹^ORCID,Anmisha Nagilla¹^ORCID,Thanmayi Vada¹^ORCID,Suchetha M.²^ORCID,Dhas D. Edwin¹^ORCID,Sehastrajit S.²,Aakur Sathyanarayanan N.³^ORCID

Affiliation:

1. Vellore Institute of Technology, Chennai, India

2. Vellore Institute of Technology, Centre for Healthcare Advancement, Innovation and Research, Chennai, India

3. Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10496674.pdf?arnumber=10496674

Reference37 articles.

1. Skin Lesions Classification Into Eight Classes for ISIC 2019 Using Deep Convolutional Neural Network and Transfer Learning

2. The melanoma skin cancer detection and classification using support vector machine

3. Psoriasis Detection Using Skin Color and Texture Features

4. Multi-Class Skin Lesion Detection and Classification via Teledermatology

5. Comparative performance of deep learning architectures in classification of diabetic retinopathy;Krishnan;Int. J. Ad Hoc Ubiquitous Comput.,2023

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