Multi-Class Skin Cancer Classification Using a Hybrid Dynamic Salp Swarm Algorithm and Weighted Extreme Learning Machines with Transfer Learning

Multi-Class Skin Cancer Classification Using a Hybrid Dynamic Salp Swarm Algorithm and Weighted Extreme Learning Machines with Transfer Learning

Skin cancer is a significant healthcare problem with a high mortality rate worldwide. Skin lesions occur due to the abnormal growth of skin cells in humans. Failure of early prediction and proper lesion diagnosis may lead to a malignant stage. In recent times, different skin lesion images have appea...

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Bibliographic Details
Main Authors: Ramya Panneerselvam, Sathiyabhama Balasubramaniam
Format: Article
Language:English
Published: Prague University of Economics and Business 2023-04-01
Series:Acta Informatica Pragensia
Subjects:
skin cancer classification
convolution neural network
transfer learning
extreme learning machine
swarm algorithm
metaheuristics
Online Access:https://aip.vse.cz/artkey/aip-202301-0010_multi-class-skin-cancer-classification-using-a-hybrid-dynamic-salp-swarm-algorithm-and-weighted-extreme-learnin.php
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https://aip.vse.cz/artkey/aip-202301-0010_multi-class-skin-cancer-classification-using-a-hybrid-dynamic-salp-swarm-algorithm-and-weighted-extreme-learnin.php

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