AIMC Topic: Onychomycosis

Clear Filters Showing 1 to 6 of 6 articles

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...
Onychomycosis Neural Networks, Computer Dermoscopy Sensitivity and Specificity Humans Deep Learning
View on PubMed DOI

Diagnosing onychomycosis: A step forward?

Journal of cosmetic dermatology Dec 16, 2021
BACKGROUND AND AIMS: There are a number of available methods for diagnosing onychomycosis, but more emerge as technology advances. This review briefly discusses the common diagnostic methods, the use of artificial intelligence (AI) as a diagnostic to...
Onychomycosis Humans Artificial Intelligence
View on PubMed DOI

A Deep Learning Approach for Histopathological Diagnosis of Onychomycosis: Not Inferior to Analogue Diagnosis by Histopathologists.

Acta dermato-venereologica Aug 31, 2021
Onychomycosis is common. Diagnosis can be confirmed by various methods; a commonly used method is the histological examination of nail clippings. A deep learning system was developed and its diagnostic accuracy compared with that of human experts. A ...
Humans ROC Curve Onychomycosis Artificial Intelligence Deep Learning
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...
Onychomycosis Photography Foot Dermatoses Dermatologists Hydroxides Potassium Compounds Mycological Typing Techniques Humans Computer Systems Neural Networks, Computer Predictive Value of Tests Diagnostic Errors Algorithms Deep Learning Male Young Adult Prospective Studies Adult Middle Aged Female Diagnosis, Computer-Assisted Dermoscopy
View on PubMed DOI

Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network.

PloS one Jan 19, 2018
Although there have been reports of the successful diagnosis of skin disorders using deep learning, unrealistically large clinical image datasets are required for artificial intelligence (AI) training. We created datasets of standardized nail images ...
Adult Male Hand Dermatoses Aged Onychomycosis Young Adult Machine Learning Image Interpretation, Computer-Assisted Neural Networks, Computer Databases, Factual Algorithms Area Under Curve Foot Dermatoses Artificial Intelligence Female Middle Aged Humans Dermatologists Diagnosis, Computer-Assisted
View on PubMed DOI

Superficial Fungal Infections and Artificial Intelligence: A Review on Current Advances and Opportunities: REVISION.

Mycoses Jan 1, 2025
BACKGROUND: Superficial fungal infections are among the most common infections in world, they mainly affect skin, nails and scalp without further invasion. Superficial fungal diseases are conventionally diagnosed with direct microscopy, fungal cultur...
Artificial Intelligence Antifungal Agents Humans Onychomycosis Dermatomycoses Skin Fungi
View on PubMed DOI
Popular Topics
Recent Journals