Results 61 to 70 of about 27,666 (237)
Nevus-Associated versus de novo Melanoma: Do They Have Different Characteristics and Prognoses?
Aim: The aim of this study was to determine if nevus-associated melanoma differs in characteristics and prognosis from de novo melanoma. Patients and Methods: The study included 118 melanoma patients. Clinical findings were retrospectively evaluated. For
Nilay Duman+5 more
doaj +1 more source
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network Ensemble [PDF]
This short paper reports the method and the evaluation results of Casio and Shinshu University joint team for the ISBI Challenge 2017 - Skin Lesion Analysis Towards Melanoma Detection - Part 3: Lesion Classification hosted by ISIC. Our online validation score was 0.958 with melanoma classifier AUC 0.924 and seborrheic keratosis classifier AUC 0.993.
arxiv
Using Spatial Logic and Model Checking for Nevus Segmentation [PDF]
Spatial and spatio-temporal model checking techniques have a wide range of application domains, among which large scale distributed systems and signal and image analysis. In the latter domain, automatic and semi-automatic contouring in Medical Imaging has shown to be a very promising and versatile application that can greatly facilitate the work of ...
arxiv
Skin Diseases in Long‐Distance Runners
ABSTRACT Long‐distance running, including both road running and trail/mountain running, has significantly increased in popularity in recent years. The prolonged, repetitive physical activity combined with environmental exposures predisposes runners to a range of dermatological problems.
Henna Ahomies+3 more
wiley +1 more source
Porokeratotic eccrine and hair follicle nevus: a report of two cases and review of the literature [PDF]
: Porokeratotic eccrine and hair follicle nevus is a very rare non-hereditary disorder of keratinization with eccrine and hair follicle involvement with only 9 cases described in the literature.
Alfredo Daniel Agulló-Pérez+3 more
doaj +1 more source
Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge [PDF]
This manuscript describes our participation in the International Skin Imaging Collaboration's 2017 Skin Lesion Analysis Towards Melanoma Detection competition. We participated in Part 3: Lesion Classification. The two stated goals of this binary image classification challenge were to distinguish between (a) melanoma and (b) nevus and seborrheic ...
arxiv
Phakomatosis pigmentovascularis (PPV) is characterized by the association of a vascular nevus with a pigmentary nevus and is divided into five subtypes.
Aastha Gupta+3 more
doaj +1 more source
An Extensive Technique to Detect and Analyze Melanoma: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2017 [PDF]
An automated method to detect and analyze the melanoma is presented to improve diagnosis which will leads to the exact treatment. Image processing techniques such as segmentation, feature descriptors and classification models are involved in this method. In the First phase the lesion region is segmented using CIELAB Color space Based Segmentation. Then
arxiv
Abstract Melanin is a free‐radical scavenger, antioxidant, and broadband absorber of ultraviolet (UV) radiation which protects the skin from environmental carcinogenesis. However, melanin synthesis and UV‐induced reactive melanin species are also implicated in melanocyte genotoxicity. Here, we attempted to reconcile these disparate functions of melanin
Tirzah J. Weiss+15 more
wiley +1 more source