NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health
Visual examination of nails can reflect human health status. Diseases such as nutritive imbalances and skin diseases can be identified by looking at the colors around the plate part of the nails. We present the AI-based NAILS method to detect fingernails through segmentation and labeling. The NAILS...
Saved in:
| Main Authors: | Livio Tenze, Enrique Canessa |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/24/7997 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
From Spectra to Signatures: Detecting Fentanyl in Human Nails with ATR–FTIR and Machine Learning
by: Aubrey Barney, et al.
Published: (2025-01-01) -
Application of deep learning in wound size measurement using fingernail as the reference
by: Dun-Hao Chang, et al.
Published: (2024-12-01) -
Do Painted Nails Increase Bacterial Transmission in Healthcare Environments? A Literature Review
by: Katarzyna Brudniak, et al.
Published: (2025-02-01) -
The Normal Growth Rate of Human Fingernails in Indian Population
by: Vishnu Babu, et al.
Published: (2024-08-01) -
A study on trace elements in fingernails and toenails from adult individuals by instrumental neutron activation analysis
by: Thalita Pinheiro Sanches, et al.
Published: (2020-09-01)