Evaluation of Levenberg–Marquardt neural networks and stacked autoencoders clustering for skin lesion analysis, screening and follow‐up

Evaluation of Levenberg–Marquardt neural networks and stacked autoencoders clustering for skin lesion analysis, screening and follow‐up

Traditional methods for early detection of melanoma rely on the visual analysis of the skin lesions performed by a dermatologist. The analysis is based on the so‐called ABCDE (Asymmetry, Border irregularity, Colour variegation, Diameter, Evolution) criteria, although confirmation is obtained through...

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Bibliographic Details
Main Authors: Francesco Rundo, Sabrina Conoci, Giuseppe L. Banna, Alessandro Ortis, Filippo Stanco, Sebastiano Battiato
Format: Article
Language:English
Published: Wiley 2018-10-01
Series:IET Computer Vision
Subjects:
stacked autoencoders
skin lesion analysis
visual analysis
morphological analysis
skin lesion dermoscopy images
dermoscopy image
Online Access:https://doi.org/10.1049/iet-cvi.2018.5195

Internet

https://doi.org/10.1049/iet-cvi.2018.5195

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