AIMC Topic: Dermoscopy

Clear Filters Showing 91 to 100 of 181 articles

Clinically Relevant Vulnerabilities of Deep Machine Learning Systems for Skin Cancer Diagnosis.

The Journal of investigative dermatology Sep 12, 2020
Humans Melanoma Skin Neoplasms Dermoscopy Deep Learning Nevus, Pigmented Diagnosis, Differential Color Skin Image Interpretation, Computer-Assisted
View on PubMed DOI

Diagnosis of congenital pigmented macules in infants with reflectance confocal microscopy and machine learning.

Journal of the American Academy of Dermatology Sep 11, 2020
Dermoscopy Infant Microscopy, Confocal Diagnosis, Differential Humans Pigmentation Disorders Machine Learning Hutchinson's Melanotic Freckle Skin Neoplasms
View on PubMed DOI

Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.

Journal of medical Internet research Sep 11, 2020
BACKGROUND: Early detection of melanoma can be lifesaving but this remains a challenge. Recent diagnostic studies have revealed the superiority of artificial intelligence (AI) in classifying dermoscopic images of melanoma and nevi, concluding that th...
Diagnostic Imaging Internet Dermatologists Melanoma Skin Neoplasms Dermoscopy Surveys and Questionnaires Humans Artificial Intelligence
View on PubMed DOI

Use of artificial intelligence in skin cancer diagnosis and management.

The Medical journal of Australia Sep 6, 2020
Humans Dermoscopy Early Detection of Cancer Skin Disease Management Nevus, Pigmented Artificial Intelligence Algorithms Melanoma Skin Neoplasms
View on PubMed DOI

Prospective, comparative evaluation of a deep neural network and dermoscopy in the diagnosis of onychomycosis.

PloS one Jun 11, 2020
BACKGROUND: Onychomycosis is the most common nail disorder and is associated with diagnostic challenges. Emerging non-invasive, real-time techniques such as dermoscopy and deep convolutional neural networks have been proposed for the diagnosis of thi...
Foot Dermatoses Onychomycosis Diagnostic Errors Hydroxides Potassium Compounds Male Mycological Typing Techniques Middle Aged Female Photography Diagnosis, Computer-Assisted Dermoscopy Deep Learning Young Adult Computer Systems Humans Adult Predictive Value of Tests Neural Networks, Computer Dermatologists Algorithms Prospective Studies
View on PubMed DOI

Past and present of computer-assisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1,981 skin lesions.

European journal of cancer (Oxford, England : 1990) Jun 10, 2020
BACKGROUND: Convolutional neural networks (CNNs) have shown a dermatologist-level performance in the classification of skin lesions. We aimed to deliver a head-to-head comparison of a conventional image analyser (CIA), which depends on segmentation a...
Cross-Sectional Studies Male Middle Aged Diagnosis, Computer-Assisted Aged Aged, 80 and over Young Adult Adult Deep Learning Adolescent Predictive Value of Tests Image Interpretation, Computer-Assisted Databases, Factual Prospective Studies Prognosis Female Melanoma Skin Neoplasms Dermoscopy Reproducibility of Results Humans
View on PubMed DOI

An Efficient Skin Cancer Diagnostic System Using Bendlet Transform and Support Vector Machine.

Anais da Academia Brasileira de Ciencias May 29, 2020
Skin is the outermost and largest organ of the human body that protects us from the external agents. Among the various types of diseases affecting the skin, melanoma (skin cancer) is the most dangerous and deadliest disease. Though it is one of the d...
Humans Melanoma Diagnosis, Computer-Assisted Skin Neoplasms Support Vector Machine Dermoscopy Reproducibility of Results Sensitivity and Specificity
View on PubMed DOI

Simplification of neural networks for skin lesion image segmentation using color channel pruning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 8, 2020
Automatic analysis of skin abnormality is an effective way for medical experts to facilitate diagnosis procedures and improve their capabilities. Efficient and accurate methods for analysis of the skin abnormalities such as convolutional neural netwo...
Color Skin Diseases Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Dermoscopy
View on PubMed DOI

Technological advances for the detection of melanoma: Advances in diagnostic techniques.

Journal of the American Academy of Dermatology Apr 26, 2020
Managing the balance between accurately identifying early stage melanomas while avoiding obtaining biopsy specimens of benign lesions (ie, overbiopsy) is the major challenge of melanoma detection. Decision making can be especially difficult in patien...
Biomedical Technology Dielectric Spectroscopy Photography Skin Neoplasms Dermoscopy Imaging, Three-Dimensional Microscopy, Confocal Humans Machine Learning Melanoma
View on PubMed DOI

Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

The Journal of investigative dermatology Mar 31, 2020
Although deep learning algorithms have demonstrated expert-level performance, previous efforts were mostly binary classifications of limited disorders. We trained an algorithm with 220,680 images of 174 disorders and validated it using Edinburgh (1,3...
Drug Therapy, Computer-Assisted Anti-Bacterial Agents Female Skin Neoplasms Dermoscopy Aged Young Adult Adult Male Skin Feasibility Studies Humans Dermatologists Skin Diseases Adolescent Middle Aged Datasets as Topic ROC Curve Glucocorticoids Photography Antiviral Agents Deep Learning Internship and Residency Dermatology Antifungal Agents Clinical Competence Image Interpretation, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals