Enhancing Recognition and Categorization of Skin Lesions with Tailored Deep Convolutional Networks and Robust Data Augmentation Techniques

Enhancing Recognition and Categorization of Skin Lesions with Tailored Deep Convolutional Networks and Robust Data Augmentation Techniques

This study introduces deep convolutional neural network-based methods for the detection and classification of skin lesions, enhancing system accuracy through a combination of architectures, pre-processing techniques and data augmentation. Multiple networks, including XceptionNet, DenseNet, MobileNet...

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Bibliographic Details
Main Authors: Syed Ibrar Hussain, Elena Toscano
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Mathematics
Subjects:
skin lesions
dermatology
automated diagnostics
multi-class analysis
deep learning
Online Access:https://www.mdpi.com/2227-7390/13/9/1480
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