Comparative Analysis of Skin Lesions Classification Using Machine Learning Classifiers and Lesnet-22 Architecture-Reference-Cited by-同舟云学术

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Comparative Analysis of Skin Lesions Classification Using Machine Learning Classifiers and Lesnet-22 Architecture

Published:2023-12-14 Issue: Volume: Page:355-361
ISSN:
Container-title:2023 IEEE 20th India Council International Conference (INDICON)
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Author:

N Balathaarani¹,R Gandhiraj¹,Panda Manoj Kumar²

Affiliation:

1. Coimbatore Amrita Vishwa Vidyapeetham,Amrita School of Engineering,Department of Electronics and Communication Engineering,India

2. Bengaluru Amrita Vishwa Vidyapeetham,Amrita School of Engineering,Department of Electronics and Communication Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440722/10440669/10440770.pdf?arnumber=10440770

Reference16 articles.

1. Two-Stage Deep Neural Network via Ensemble Learning for Melanoma Classification

2. Skin Lesion Segmentation from Dermoscopic Images Using Convolutional Neural Network

3. Skin Lesions: What Are They, Types, Causes, Diagnosis, Treatment, and More | Osmosis;Castillo

4. Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification;Dong;Elsevier,2022

5. Computer-Aided Diagnosis Algorithm for Classification of Malignant Melanoma Using Deep Neural Networks

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