Results 61 to 70 of about 15,020 (140)
Indian Journal of Dermatology, 2015 Blue rubber bleb nevus syndrome (BRBNS) also called Bean′s syndrome is a rare disorder characterized by multiple cutaneous venous malformations in association with visceral lesions, most commonly affecting the gastrointestinal tract. We report here, a 21-
Karan Sancheti +5 more
doaj +1 more source
Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge [PDF]
arXiv, 2017 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
Oral Diseases, EarlyView.Abstract Objective Oral leukoplakia (OL) is one of the most common and investigated oral potentially malignant disorders (OPMD). Preventing OSCC occurrence should be the primary outcome in the clinical management of OL. Surgical removal of OL is performed by most clinicians, although its effectiveness in reducing OSCC onset has still not been ...
Niccolò Lombardi +6 more
wiley +1 more source
An Extensive Technique to Detect and Analyze Melanoma: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2017 [PDF]
arXiv, 2017 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
Cellular Blue Nevus Diagnosed following Excision of Melanoma: A Challenge in Diagnosis
Case Reports in Pathology, 2016 A case of a 41-year-old woman with a history of nodular melanoma (NM), associated with an indurated dome-shaped blue-black nodule with a diameter of 1.2 cm in the gluteal region, is presented.
Nives Jonjić +4 more
doaj +1 more source
A Dense CNN approach for skin lesion classification [PDF]
arXiv, 2018 This article presents a Deep CNN, based on the DenseNet architecture jointly with a highly discriminating learning methodology, in order to classify seven kinds of skin lesions: Melanoma, Melanocytic nevus, Basal cell carcinoma, Actinic keratosis / Bowen's disease, Benign keratosis, Dermatofibroma, Vascular lesion.
arxiv
Journal of Cosmetic Dermatology, Volume 24, Issue 4, April 2025.ABSTRACT Background Pulsed‐dye lasers (PDLs) are currently regarded as the gold standard for treating port‐wine birthmarks (PWBs). Recently, the large‐spot, variable‐sequenced, long‐pulsed potassium titanyl phosphate laser (KTP) has been introduced as a promising alternative for addressing dermatologic vascular lesions. Despite its growing use, data on
Lynhda Nguyen +2 more
wiley +1 more source
Giant congenital cellular blue nevus of the scalp: neonatal presentation and approach
Research and Reports in Neonatology, 2011 Martine Debyser1, Sofie De Schepper2, James D'haese1, Veerle De Ketelaere3, Luc Cornette11Neonatal Intensive Care Unit AZ St Jan Bruges-Ostend AV, Bruges, Belgium; 2Department of Dermatology, Ghent University Hospital, Ghent, Belgium; 3Department
Debyser M +4 more
doaj
Melanocytic lesions of the prostate
Surgical and Experimental Pathology, 2020 Background Benign melanocytic lesions of the prostate are rare and classified as blue nevus or melanosis. Both lesions have about 30 cases each reported in English literature.
Maria Estela Pompeu do Amaral +1 more
doaj +1 more source
Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin Lesions [PDF]
arXiv, 2017 This report describes our submission to the ISIC 2017 Challenge in Skin Lesion Analysis Towards Melanoma Detection. We have participated in the Part 3: Lesion Classification with a system for automatic diagnosis of nevus, melanoma and seborrheic keratosis.
arxiv