Non-invasive multimodal dataset for the detection of iron deficiency anemia in young adults: fingertip videos, palm videos, and nail photographs

Non-invasive multimodal dataset for the detection of iron deficiency anemia in young adults: fingertip videos, palm videos, and nail photographs

Iron deficiency anemia affects a significant proportion of the young population in both rural and urban areas of Peru. In response to the need for non-invasive, accessible, and reproducible methods for its detection, we developed this dataset as part of a research project funded by the Universidad...

Full description

Saved in:
Bibliographic Details
Main Authors: Miguel Angel Valles-Coral, Richard Injante, Jorge Raul Navarro-Cabrera, Lloy Pinedo, Luis Gerardo Salazar-Ramirez, María Elena Farro-Roque, Luz Karen Quintanilla-Morales
Format: Article
Language:Spanish
Published: Universidad Nacional de San Martín 2025-07-01
Series:Revista Científica de Sistemas e Informática
Subjects:
artificial intelligence
biomedical videos
clinical dataset
computer vision
hemoglobin
machine learning
Online Access:https://revistas.unsm.edu.pe/index.php/rcsi/article/view/955
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://revistas.unsm.edu.pe/index.php/rcsi/article/view/955

Similar Items