Results 51 to 60 of about 26,808 (238)
Training of neural networks for automated diagnosis of pigmented skin lesions is hampered by the small size and lack of diversity of available datasets of dermatoscopic images. We tackle this problem by releasing the HAM10000 ("Human Against Machine with
Kittler, Harald +2 more
core +1 more source
Long‐Term Dermoscopic Evolution of Reticular Erythematous Mucinosis: Case Report
ABSTRACT Reticular erythematous mucinosis is a rare dermatosis with a challenging diagnosis. To date, its dermoscopic features have not been well characterised in the literature. Only a limited number of case reports have described dermoscopic findings that may be indicative of the disorder, including the presence of dotted and linear vessels, as well ...
Grażyna Kamińska‐Winciorek +4 more
wiley +1 more source
Use of and intentions to use dermoscopy among physicians in the United States
Background: Dermatologists routinely use dermoscopy to improve diagnostic accuracy of skin cancers. Much less is known about its use among other physicians who routinely examine the skin, such as family physicians, internists and plastic surgeons ...
Jeffrey B. Morris +3 more
doaj +1 more source
Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features
The presence of certain clinical dermoscopic features within a skin lesion may indicate melanoma, and automatically detecting these features may lead to more quantitative and reproducible diagnoses.
Hamarneh, Ghassan, Kawahara, Jeremy
core +1 more source
Piloleiomyomas occur rarely and the literature regarding their dermoscopy is scarce. These tumours most commonly present as multiple nodules located on the trunk or the head.
Joanna Pogorzelska-Dyrbuś, Jacek Pająk
doaj +1 more source
Introduction: Magnified dermoscopy (MD), or optical super-high magnification dermoscopy is an emerging technique in dermatology. Objectives: The study aims to evaluate the distribution of conventional dermoscopy, MD, and reflectance confocal ...
Stefania Guida +18 more
doaj +1 more source
Skin Melanoma Classification from Dermoscopy Images using ANU-Net Technique [PDF]
Vankayalapati Radhika, B. Sai Chandana
openalex +1 more source
ABSTRACT Background Melanoma accounts for more than 75% of skin cancer‐related mortality. Dermatoscopy is an evidence‐based technique for earlier detection, yet differentiating melanocytic lesions remains challenging. Sub‐UV reflectance dermatoscopy (sUVRD) uses purple light (405 nm) to visualise chromophore distribution in the skin.
L. Dupont +9 more
wiley +1 more source
Background: Early recognition is the most important intervention to improve melanoma prognosis. Objective: To report the value of dermoscopy and digital dermoscopy in the clinical diagnosis of malignant melanoma (MM).
Gabriel Salerni +3 more
doaj +1 more source
An Asymptomatic Lesion on the Penis
JEADV Clinical Practice, EarlyView.
Brandon Tan +3 more
wiley +1 more source

