Computer-aided diagnosis (CAD) system based on multi-layer feature fusion network for skin lesion recognition in dermoscopy images

• Published in: Multimedia tools and applications Vol. 79; no. 29-30; pp. 20483 - 20518
• Main Authors: Bakkouri, Ibtissam, Afdel, Karim
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2020; Springer Nature B.V
• Subjects: Algorithms; Artificial neural networks; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Diagnosis; Digital imaging; Feature recognition; Image analysis; Image classification; Lesions; Medical imaging; Multilayers; Multimedia Information Systems; Object recognition; Pattern recognition; Performance enhancement; Special Purpose and Application-Based Systems; Multi-class classification; Skin diseases; Multi-layer feature fusion; Dermoscopic pattern recognition; Transfer learning

Skin lesion recognition is one of the most important tasks in dermoscopic image analysis. Current Convolutional Neural Network (CNN) algorithms based recognition methods tend to become a standard methodology to fix a large array of Computer-Aided Diagnosis (CAD) and interpretation problems. Besides...