Detection of melanoma with hybrid learning method by removing hair from dermoscopic images using image processing techniques and wavelet transform

Author:

Suiçmez Çağrı,Tolga Kahraman Hamdi,Suiçmez Alihan,Yılmaz Cemal,Balcı Furkan

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference72 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA A Cancer J. Clin.,2021

2. T.A.C.S.m.a.e.c. team, Survival Rates for Melanoma Skin Cancer, American Cancer Society, 2022.

3. Accuracy of computer-aided diagnosis of melanoma: a meta-analysis;Dick;JAMA Dermatol.,2019

4. Skin hair removal for 2D psoriasis images;George;International Conference on Digital Image Computing: Techniques and Applications (DICTA),2015

5. Hairlines removal and low contrast enhancement of melanoma skin images using convolutional neural network with aggregation of contextual information;Kaur;Biomed. Signal Process. Control,2022

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