Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review

S Pathan, KG Prabhu, PC Siddalingaswamy - … Signal Processing and …, 2018 - Elsevier
Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …

A survey of feature extraction in dermoscopy image analysis of skin cancer

C Barata, ME Celebi, JS Marques - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Dermoscopy image analysis (DIA) is a growing field, with works being published every
week. This makes it difficult not only to keep track of all the contributions, but also for new …

[HTML][HTML] Skin lesion classification with ensembles of deep convolutional neural networks

B Harangi - Journal of biomedical informatics, 2018 - Elsevier
Skin cancer is a major public health problem with over 123,000 newly diagnosed cases
worldwide in every year. Melanoma is the deadliest form of skin cancer, responsible for over …

Two systems for the detection of melanomas in dermoscopy images using texture and color features

C Barata, M Ruela, M Francisco… - IEEE systems …, 2013 - ieeexplore.ieee.org
Melanoma is one of the deadliest forms of cancer; hence, great effort has been put into the
development of diagnosis methods for this disease. This paper addresses two different …

Computer-aided diagnosis of skin cancer: a review

N Razmjooy, M Ashourian, M Karimifard… - Current medical …, 2020 - ingentaconnect.com
Cancer is currently one of the main health issues in the world. Among different varieties of
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …

Computerized analysis of pigmented skin lesions: a review

K Korotkov, R Garcia - Artificial intelligence in medicine, 2012 - Elsevier
OBJECTIVE: Computerized analysis of pigmented skin lesions (PSLs) is an active area of
research that dates back over 25years. One of its main goals is to develop reliable automatic …

A color and texture based hierarchical K-NN approach to the classification of non-melanoma skin lesions

L Ballerini, RB Fisher, B Aldridge, J Rees - Color medical image analysis, 2013 - Springer
This chapter proposes a novel hierarchical classification system based on the K-Nearest
Neighbors (K-NN) model and its application to non-melanoma skin lesion classification …

A comparative study of features selection for skin lesion detection from dermoscopic images

R Javed, MSM Rahim, T Saba, A Rehman - Network Modeling Analysis in …, 2020 - Springer
Melanoma is rare and mainly considered as the dangerous category of skin cancer. Many
researchers proposed diverse efficient techniques for melanoma detection. The main focus …

An overview of melanoma detection in dermoscopy images using image processing and machine learning

NK Mishra, ME Celebi - arXiv preprint arXiv:1601.07843, 2016 - arxiv.org
The incidence of malignant melanoma continues to increase worldwide. This cancer can
strike at any age; it is one of the leading causes of loss of life in young persons. Since this …

[PDF][PDF] A state-of-the-art survey on lesion border detection in dermoscopy images

ME Celebi, Q Wen, H Iyatomi, K Shimizu… - Dermoscopy image …, 2015 - faculty.uca.edu
Invasive and in situ malignant melanoma together comprise one of the most rapidly
increasing cancers in the world. Invasive melanoma alone has an estimated incidence of …