An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnostic performance

An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnostic performance

Due to challenges such as illumination variability, noise, and visual distortions, machine learning (ML) and deep learning (DL) approaches for skin disease evaluation remain complex. Traditional methods often neglect these issues, leading to skewed predictions and poor performance. This research lev...

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Bibliographic Details
Main Authors: Ahsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali khan, Muhammad Fareed Hamid, Anwaar UlHaq, Jarrar Amjad
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:SLAS Technology
Subjects:
Skin disease
Deep learning
Image processing
Transfer learning
Mobilenet
Densenet
Online Access:http://www.sciencedirect.com/science/article/pii/S2472630325000895
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