[HTML][HTML] Artificial Intelligence in the Diagnosis of Onychomycosis—Literature Review

B Bulińska, M Mazur-Milecka, M Sławińska… - Journal of …, 2024 - pmc.ncbi.nlm.nih.gov
Onychomycosis is a common fungal nail infection that is difficult to diagnose due to its
similarity to other nail conditions. Accurate identification is essential for effective treatment …

Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis

G Shandilya, S Gupta, S Bharany, AU Rehman… - BMC Medical Informatics …, 2024 - Springer
Major underlying health issues can be indicated by even minor nail infections. Subungual
Melanoma is one of the most severe kinds since it is identified at a much later stage than …

Optimized Nail Disease Detection Using DenseNet121: Advancing Dermatological Diagnostics with Deep Learning

P Kaushik, P Sharma - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Nail disorders can be overt manifestations of many systemic diseases. Early diagnosis is
always imperative in such cases. However, existing diagnostic methodologies are generally …

Emperical Analysis of Nail Diseases through Using Hybrid Algorithms of LSTM and CNN

PS Roy, V Kukreja, SN Chandran… - … on Computing, Power …, 2024 - ieeexplore.ieee.org
This research presents a novel method that uses CNNs and LSTMs to improve nail-related
diagnosis accuracy and efficiency. We investigate the interface of innovative machine …

[PDF][PDF] Fingernail Image-based Health Assessment Using a Hybrid VGG16 and Random Forest Model

A Sharma, H Phulwani, A Gupta, AP Singh - Evergreen, 2024 - tj.kyushu-u.ac.jp
Undetected changes in fingernails consisting of alterations in color, shape, size, or texture
can be a reason for unfavorable results for the health of the human. It has been a challenge …