NDLI: Wavelet-based deep learning for skin lesion classification

Content Provider	IET Digital Library
Author	Serte, Sertan Demirel, Hasan
Abstract	Skin lesions can be in malignant or benign forms. Benign skin lesion types are not deadly; however, malignant types of skin lesions can be fatal. Lethal forms are known as skin cancer. These types require urgent clinical treatment. Fast detection and diagnosis of malignant types of skin lesions might prevent life-threatening scenarios. This work presents two methods for the automatic classification of malignant melanoma and seborrhoeic keratosis lesions. The first method builds on modelling skin images together with wavelet coefficients. Approximate, horizontal, and vertical wavelet coefficients are obtained using the wavelet transform, and then deep learning (DL) models are generated for each of the representations and skin images. The second method builds on modelling skin images together with three approximate coefficients. This method utilises a sequential wavelet transformation to produce approximation coefficients. Then DL models are generated for each of the representations and skin images. Transfer learning-based ResNet-18 and ResNet-50 DL models provide model images and wavelet coefficients. Then skin lesion detection is achieved by fusing model output probabilities. Both proposed models outperform the methods only based on image data and other previously proposed methods.
Starting Page	720
Ending Page	726
Page Count	7
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 4, Mar (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0553
Journal	IET Image Processing
Publisher Date	2019-11-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximate Coefficient Approximation Coefficient Benign Forms Benign Skin Lesion Types Biology And Medical Computing Biomedical Communication Biomedical Imaging/measurement Biomedical Measurement And Imaging Biomedical Optical Imaging Cancer Computer Vision And Image Processing Technique Deep Learning Model Image Classification Knowledge Engineering Technique Learning in AI Malignant Forms Malignant Melanoma Malignant Types Medical Image Processing Model Image Optical And Laser Radiation Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Seborrhoeic Keratosis Lesions Sequential Wavelet Transformation Skin Skin Cancer Skin Image Skin Lesion Classification Skin Lesion Detection Skin Lesions Statistics Telemedicine Transfer Learning-based ResNet-18 Vertical Wavelet Coefficient Wavelet Transform Wavelet-based Deep Learning
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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