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 …

Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms

A Masood, AA Al-Jumaily - International journal of biomedical …, 2013 - Wiley Online Library
Image‐based computer aided diagnosis systems have significant potential for screening
and early detection of malignant melanoma. We review the state of the art in these systems …

DSNet: Automatic dermoscopic skin lesion segmentation

MK Hasan, L Dahal, PN Samarakoon, FI Tushar… - Computers in biology …, 2020 - Elsevier
Abstract Background and Objective: Automatic segmentation of skin lesions is considered a
crucial step in Computer-aided Diagnosis (CAD) systems for melanoma detection. Despite …

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 …

Computational methods for the image segmentation of pigmented skin lesions: a review

RB Oliveira, E Mercedes Filho, Z Ma, JP Papa… - Computer methods and …, 2016 - Elsevier
Background and objectives Because skin cancer affects millions of people worldwide,
computational methods for the segmentation of pigmented skin lesions in images have been …

Computational methods for pigmented skin lesion classification in images: review and future trends

RB Oliveira, JP Papa, AS Pereira… - Neural Computing and …, 2018 - Springer
Skin cancer is considered as one of the most common types of cancer in several countries,
and its incidence rate has increased in recent years. Melanoma cases have caused an …

A benchmark for automatic visual classification of clinical skin disease images

X Sun, J Yang, M Sun, K Wang - … , The Netherlands, October 11-14, 2016 …, 2016 - Springer
Skin disease is one of the most common human illnesses. It pervades all cultures, occurs at
all ages, and affects between 30% and 70% of individuals, with even higher rates in at-risk …

An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach

M Nasir, M Attique Khan, M Sharif… - Microscopy research …, 2018 - Wiley Online Library
Melanoma is the deadliest type of skin cancer with highest mortality rate. However, the
annihilation in early stage implies a high survival rate therefore, it demands early diagnosis …

An expert system for selecting wart treatment method

F Khozeimeh, R Alizadehsani, M Roshanzamir… - Computers in biology …, 2017 - Elsevier
As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV)
and may grow on all parts of body, especially hands and feet. There are several treatment …

Noninvasive real-time automated skin lesion analysis system for melanoma early detection and prevention

O Abuzaghleh, BD Barkana… - IEEE journal of …, 2015 - ieeexplore.ieee.org
Melanoma spreads through metastasis, and therefore, it has been proved to be very fatal.
Statistical evidence has revealed that the majority of deaths resulting from skin cancer are as …