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
-
Application of deep learning in wound size measurement using fingernail as the reference
by: Dun-Hao Chang, et al.
Published: (2024-12-01) -
From Spectra to Signatures: Detecting Fentanyl in Human Nails with ATR–FTIR and Machine Learning
by: Aubrey Barney, et al.
Published: (2025-01-01) -
The effects of age and other individual factors on radiation induced ESR signals from fingernails
by: Samayeh Azariasl, et al.
Published: (2025-01-01) -
Human skin region detection in Web video
by: GUO Jun-bo1, et al.
Published: (2009-01-01) -
How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review
by: Alessandra Amato, et al.
Published: (2024-11-01)