Results 81 to 90 of about 21,918 (266)

Status of Dermoscopy in Chile: First National Study for Dermatologists

open access: yesDermatology Practical & Conceptual
Introduction: Scientific evidence supports dermoscopy as an essential tool in dermatological diagnosis. Objectives: The objective is to know the factors that influence its use in Chilean dermatologists.
Juan Pablo Morales Etcheberry   +3 more
doaj   +1 more source

Automatic lesion boundary detection in dermoscopy [PDF]

open access: yesarXiv, 2018
This manuscript addresses the problem of the automatic lesion boundary detection in dermoscopy, using deep neural networks. An approach is based on the adaptation of the U-net convolutional neural network with skip connections for lesion boundary segmentation task.
arxiv  

CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images [PDF]

open access: yesarXiv, 2020
Skin cancer continues to be the most frequently diagnosed form of cancer in the U.S., with not only significant effects on health and well-being but also significant economic costs associated with treatment. A crucial step to the treatment and management of skin cancer is effective skin cancer detection due to strong prognosis when treated at an early ...
arxiv  

Erythematoviolaceous Papules and Plaques on Sun‐Exposed Areas

open access: yes
JEADV Clinical Practice, EarlyView.
Ana C. Martín‐Zamora   +3 more
wiley   +1 more source

Familial Frontal Fibrosing Alopecia Occurs Early in Daughters With Affected Mothers: A Case Report and a Review of the Literature

open access: yesAustralasian Journal of Dermatology, EarlyView.
ABSTRACT Frontal fibrosing alopecia (FFA) is a form of cicatricial alopecia that is being increasingly diagnosed in recent years. It predominantly affects post‐menopausal women of various ethnic backgrounds, but cases have also been reported in pre‐menopausal women and rarely in men.
Adrienne Oxenham, Annabel Stevenson
wiley   +1 more source

Skin lesion detection based on an ensemble of deep convolutional neural network [PDF]

open access: yes, 2017
Skin cancer is a major public health problem, with over 5 million newly diagnosed cases in the United States each year. Melanoma is the deadliest form of skin cancer, responsible for over 9,000 deaths each year. In this paper, we propose an ensemble of deep convolutional neural networks to classify dermoscopy images into three classes.
arxiv   +1 more source

Dermoscopy of Burrow Ink Test in a Case of Scabies (Dermoscopic Burrow Ink Test: D‐Bit)

open access: yes
JEADV Clinical Practice, EarlyView.
Bhakti Sarda   +3 more
wiley   +1 more source

Optical super‐high magnification dermoscopy of benign and malignant melanocytic lesions in correlation with histopathology

open access: yesJDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background and objectives Technical advances have allowed for significant improvements in imaging techniques in recent years. Specifically, lesions can now be depicted at a much higher magnification – up to 400 x – using optical super‐high magnification dermoscopy (OSHMD).
Julia Katharina Winkler   +5 more
wiley   +1 more source

The use of Dermoscopy Following a one-day Workshop Among Family Medicine Residents

open access: yesMarshall Journal of Medicine, 2019
Skin cancer is the most common form of cancer in the United States. The purpose of this study is to determine if a single grand rounds workshop impacts the use of dermoscopy in a single Family Medicine Residency training program.
Dylan Maldonado , Kathleen M. O'Hanlon
doaj   +1 more source

A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images [PDF]

open access: yesarXiv, 2018
A multi-level deep ensemble (MLDE) model that can be trained in an 'end to end' manner is proposed for skin lesion classification in dermoscopy images. In this model, four pre-trained ResNet-50 networks are used to characterize the multiscale information of skin lesions and are combined by using an adaptive weighting scheme that can be learned during ...
arxiv  

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