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 …

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 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 …

Melanoma diagnosis using deep learning and fuzzy logic

S Banerjee, SK Singh, A Chakraborty, A Das, R Bag - Diagnostics, 2020 - mdpi.com
Melanoma or malignant melanoma is a type of skin cancer that develops when melanocyte
cells, damaged by excessive exposure to harmful UV radiations, start to grow out of control …

Computer‐assisted diagnosis techniques (dermoscopy and spectroscopy‐based) for diagnosing skin cancer in adults

L Ferrante di Ruffano, Y Takwoingi… - Cochrane Database …, 1996 - cochranelibrary.com
Background Early accurate detection of all skin cancer types is essential to guide
appropriate management and to improve morbidity and survival. Melanoma and cutaneous …

Computational diagnosis of skin lesions from dermoscopic images using combined features

RB Oliveira, AS Pereira, JMRS Tavares - Neural Computing and …, 2019 - Springer
There has been an alarming increase in the number of skin cancer cases worldwide in
recent years, which has raised interest in computational systems for automatic diagnosis to …

Skin cancer diagnostics with an all-inclusive smartphone application

U Kalwa, C Legner, T Kong, S Pandey - Symmetry, 2019 - mdpi.com
Among the different types of skin cancer, melanoma is considered to be the deadliest and is
difficult to treat at advanced stages. Detection of melanoma at earlier stages can lead to …

Melanoma detection and classification using computerized analysis of dermoscopic systems: a review

M Nasir, MA Khan, M Sharif, MY Javed… - Current Medical …, 2020 - ingentaconnect.com
Malignant melanoma is considered as one of the most deadly cancers, which has broadly
increased worldwide since the last decade. In 2018, around 91,270 cases of melanoma …

Novel method for border irregularity assessment in dermoscopic color images

J Jaworek-Korjakowska - Computational and mathematical …, 2015 - Wiley Online Library
Background. One of the most important lesion features predicting malignancy is border
irregularity. Accurate assessment of irregular borders is clinically important due to …

Computer-Aided Classification of Melanoma: A Comprehensive Survey

U Sharma, P Aggarwal, A Mittal - Archives of Computational Methods in …, 2024 - Springer
The prevalence of skin cancer has been increasing for the last few decades. Abnormal
growth of cells forms skin lesions, which if not treated at the earliest, may turn into cancer …