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Computational methods for the image segmentation of pigmented skin lesions: A review
(Elsevier B.V., 2016-07-01)
Background and objectives: Because skin cancer affects millions of people worldwide, computational methods for the segmentation of pigmented skin lesions in images have been developed in order to assist dermatologists in ...
SKAN: Skin Scanner - System for Skin Cancer Detection Using Adaptive Techniques
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2011)
SKAN: Skin Scanner - System for Skin Cancer Detection Using Adaptive Techniques - combines computer engineering concepts with areas like dermatology and oncology. Its objective is to discern images of skin cancer, specifically ...
A computational approach for detecting pigmented skin lesions in macroscopic images
(Elsevier B.V., 2016-11-01)
Skin cancer is considered one of the most common types of cancer in several countries and its incidence rate has increased in recent years. Computational methods have been developed to assist dermatologists in early diagnosis ...
Pattern Recognition in Macroscopic and Dermoscopic Images for Skin Lesion Diagnosis
(Springer, 2018-01-01)
Pattern recognition in macroscopic and dermoscopic images is a challenging task in skin lesion diagnosis. The search for better performing classification has been a relevant issue for pattern recognition in images. Hence, ...
An algorithm for characterizing skin moles using image processing and machine learning
(Institute of Advanced Engineering and Science, 2021)
Melanoma, the most serious type of skin cancer, forms in cells (melanocytes) that produce melanin, the pigment that gives color to the skin. There are low-income regions that lack specialized dermatologists, causing skin ...
The role of imaging in the management of patients with nonmelanoma skin cancer: Diagnostic modalities and applications
(Mosby Inc., 2017)
© 2015 American Academy of Dermatology, Inc. While uncomplicated cases of nonmelanoma skin cancer can be treated with surgery, destruction, or topical therapy alone, advanced or neglected cases require more complex management ...
Skin Detection in Digital Images with Artificial Neural Networks
(2018-12-14)
The increasing capacity of data processing in personal computers and devices could develop filters and automatic classifiers working in real time and applied in several areas. Considering Digital Image Processing and ...
Skin detection in digital images with artificial neural networks
(Ieee, 2018-01-01)
The increasing capacity of data processing in personal computers and devices could develop filters and automatic classifiers working in real time and applied in several areas. Considering Digital Image Processing and ...
Characterization of texture in image of skin lesions by support vector machine
(2012-11-19)
Due to the increased incidence of skin cancer, computational methods based on intelligent approaches have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify ...
Characterization of texture in image of skin lesions by support vector machine
(2012-11-19)
Due to the increased incidence of skin cancer, computational methods based on intelligent approaches have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify ...