Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets

Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets

Abstract Skin cancer (SC) is an important medical condition that necessitates prompt identification to ensure timely treatment. Although visual evaluation by dermatologists is considered the most reliable method, its efficacy is subjective and laborious. Deep learning-based computer-aided diagnostic...

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Bibliographic Details
Main Author: Omneya Attallah
Format: Article
Language:English
Published: Nature Portfolio 2024-09-01
Series:Scientific Reports
Subjects:
Skin cancer diagnosis
Dermoscopic imaging
Deep learning
Convolutional neural networks
Gabor wavelets
Feature fusion
Online Access:https://doi.org/10.1038/s41598-024-69954-8

Internet

https://doi.org/10.1038/s41598-024-69954-8

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