Article

NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-care Health

2024-10-30

Abstract excerpt

Visual examination of nails can reflect the human health status. Diseases such as nutritive imbalances and skin diseases can be identified by looking the colors around the plate part of the nails. We present the AI-based NAILS method to detect fingernails through segmentation and labeling. We built a generalized model to identify single fingers, their fingernail plates and retrieve their color data. A pre-trained...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7b94527b-4e75-5ba9-9db8-139dd121f68c
DOI: 10.20944/preprints202410.2375.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-care HealthDOI 10.20944/preprints202410.2375.v1Read

CHASHNIt: Enhancing Skin Disease Classificationleveraging GAN-Augmented Hybrid Model withComparative XAI Interpretation Heatmap Using LIMEand SHAP AlgorithmsSemantic proximity Read

A Reliable and Effective Approach for Computerized Skin Disease Classification Using MobileNetV3 and LSTMSemantic proximity Read

Artificial Intelligence in Nailfold Capillaroscopy: A Scoping Review1of Validation, Reproducibility, and Clinical TranslationSemantic proximity Read

Development of a Convolutional Neural Network-Based System for Skin Disease ClassificationSemantic proximity Read

Deep neural frameworks improve the accuracy of general practitioners in the classification of pigmented skin lesionsSemantic proximity Read

Deep Learning-Based Tongue Pathology Detection: Mapping Fine-Grained Computer Vision Features to Ayurvedic Diagnostic HeuristicsSemantic proximity Read

Skin Lesion Classification and Detection Using Machine Learning in DermatologySemantic proximity Read

Non-invasive health prediction from visually observable featuresSemantic proximity Read

Will Artificial Intelligence be a Transformative Solution for Dermatological Care in Resource-Limited Settings?Semantic proximity Read

Grading of Erythema and Visual Attributes in Atopic Dermatitis across Diverse Skin Tones Using a Vision AI PipelineSemantic proximity Read

D-GAN: An Automatic Acne Detection, Severity, and Assessment Framework using Generative Adversarial Network with Deep Neural NetworkSemantic proximity Read

Automated peripheral sensory neuropathy assessment of diabetic patients using optical imaging and binary processing techniquesSemantic proximity Read