Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features-Reference-Cited by-同舟云学术

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Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features

Published:2020-09-14 Issue:2 Volume:31 Page:695-707
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Alizadeh Seyed Mohammad¹^ORCID,Mahloojifar Ali¹

Affiliation:

1. Department of Biomedical Engineering, Faculty of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22490

Reference42 articles.

1. Population-based incidence and melanoma-specific survival of cutaneous malignant melanoma in a Colombian population 2000-2009

2. Early detection of melanoma: a consensus report from the Australian Skin and Skin Cancer Research Centre Melanoma Screening Summit

3. Skin lesions suspicious for melanoma: New Zealand excision margin guidelines in practice

4. Dermoscopy of basal cell carcinoma

5. Accuracy of Computer-Aided Diagnosis of Melanoma

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