AIMC Topic: Dermoscopy

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SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images.

Sensors (Basel, Switzerland) Jul 28, 2022
Skin cancer is a deadly disease, and its early diagnosis enhances the chances of survival. Deep learning algorithms for skin cancer detection have become popular in recent years. A novel framework based on deep learning is proposed in this study for ...
Humans Skin Neoplasms Dermoscopy Deep Learning Neural Networks, Computer Melanoma
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Dermoscopic Image Classification of Pigmented Nevus under Deep Learning and the Correlation with Pathological Features.

Computational and mathematical methods in medicine May 28, 2022
The objective of this study was to explore the image classification and case characteristics of pigmented nevus (PN) diagnosed by dermoscopy under deep learning. 268 patients were included as the research objects and they were randomly divided into o...
Nevus Nevus, Pigmented Dermoscopy Deep Learning Melanoma Humans Skin Neoplasms
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A deep learning approach to detect blood vessels in basal cell carcinoma.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) May 25, 2022
PURPOSE: Blood vessels called telangiectasia are visible in skin lesions with the aid of dermoscopy. Telangiectasia are a pivotal identifying feature of basal cell carcinoma. These vessels appear thready, serpiginous, and may also appear arborizing, ...
Telangiectasis Humans Deep Learning Skin Neoplasms Skin Diseases Carcinoma, Basal Cell Dermoscopy
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A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification.

Journal of healthcare engineering Apr 18, 2022
Skin cancer is one of the most common diseases that can be initially detected by visual observation and further with the help of dermoscopic analysis and other tests. As at an initial stage, visual observation gives the opportunity of utilizing artif...
Deep Learning Skin Diseases Skin Neoplasms Humans Dermoscopy Artificial Intelligence
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A novel approach for skin lesion symmetry classification with a deep learning model.

Computers in biology and medicine Mar 28, 2022
Skin cancer has become a public health problem due to its increasing incidence. However, the malignancy risk of the lesions can be reduced if diagnosed at an early stage. To do so, it is essential to identify particular characteristics such as the sy...
Dermoscopy Deep Learning Neural Networks, Computer Skin Neoplasms Skin Diseases Humans
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Efficacy of a Deep Learning Convolutional Neural Network System for Melanoma Diagnosis in a Hospital Population.

International journal of environmental research and public health Mar 24, 2022
(1) Background: The purpose of this study was to evaluate the efficacy in terms of sensitivity, specificity, and accuracy of the quantusSKIN system, a new clinical tool based on deep learning, to distinguish between benign skin lesions and melanoma i...
Deep Learning Skin Diseases Nevus Dermoscopy Hospitals Melanoma Neural Networks, Computer Skin Neoplasms Retrospective Studies Humans
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Deep Learning-Based Classification for Melanoma Detection Using XceptionNet.

Journal of healthcare engineering Mar 22, 2022
Skin cancer is one of the most common types of cancer in the world, accounting for at least 40% of all cancers. Melanoma is considered as the 19th most commonly occurring cancer among the other cancers in the human society, such that about 300,000 ne...
Skin Neoplasms Dermoscopy Deep Learning Image Processing, Computer-Assisted Humans Melanoma
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Melanoma segmentation using deep learning with test-time augmentations and conditional random fields.

Scientific reports Mar 10, 2022
In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in shape and size of the skin lesion makes the segmentation task more challenging. Lesion segmentation is an initial step in CAD schemes as it leads to low error rat...
Neural Networks, Computer Melanoma Humans Deep Learning Skin Diseases Skin Neoplasms Dermoscopy
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Deep learning-based diagnosis models for onychomycosis in dermoscopy.

Mycoses Feb 17, 2022
BACKGROUND: Onychomycosis is a common disease. Emerging noninvasive, real-time techniques such as dermoscopy and deep convolutional neural networks have been proposed for the diagnosis of onychomycosis. However, deep learning application in dermoscop...
Deep Learning Dermoscopy Onychomycosis Humans Sensitivity and Specificity Neural Networks, Computer
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Multi-features extraction based on deep learning for skin lesion classification.

Tissue & cell Nov 25, 2021
For various forms of skin lesion, many different feature extraction methods have been investigated so far. Indeed, feature extraction is a crucial step in machine learning processes. In general, we can distinct handcrafted and deep learning features....
Deep Learning Skin Neoplasms Humans Dermoscopy Databases, Factual
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