AIMC Topic: Foot Dermatoses

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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...
Humans Prospective Studies Female Neural Networks, Computer Algorithms Dermatologists Photography Computer Systems Hydroxides Predictive Value of Tests Foot Dermatoses Onychomycosis Male Diagnosis, Computer-Assisted Adult Dermoscopy Potassium Compounds Diagnostic Errors Middle Aged Deep Learning Young Adult Mycological Typing Techniques
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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 ...
Onychomycosis Foot Dermatoses Hand Dermatoses Diagnosis, Computer-Assisted Area Under Curve Dermatologists Image Interpretation, Computer-Assisted Male Middle Aged Young Adult Adult Algorithms Databases, Factual Artificial Intelligence Female Humans Machine Learning Neural Networks, Computer Aged
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Positive reactions to pairs of allergens associated with polysensitization: analysis of IVDK data with machine-learning techniques.

Contact dermatitis Apr 1, 2017
Foot Dermatoses Hand Dermatoses Leg Dermatoses Patch Tests Head Dermatitis, Allergic Contact Benzothiazoles Torso Facial Dermatoses Adult Perfume Male Nitriles Ethylene Glycols Sulfhydryl Compounds Cyclohexenes Female Middle Aged Aldehydes Humans Biostatistics Aged Machine Learning Allergens
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