TY  - GEN 
AU  - Martínez Moreno, Práxedes
AU  - Valsecchi, Andrea
AU  - Damas Arroyo, Sergio
AU  - Irurita Olivares, Javier
AU  - Mesejo Santiago, Pablo
PY  - 2024
UR  - https://hdl.handle.net/10481/89547
AB  - Over the past few years, several methods have been proposed to improve the accuracy of age estimation in infants with a focus on dental development as a reliable marker. However, traditional approaches have limitations in efficiently combining...
LA  - eng
PB  - Dr. Trudy Turner, University of Wisconsin-Milwaukee, USA
KW  - Artificial Intelligence
KW  - Infant Age Estimation
KW  - Information Fusion
KW  - Machine Learning
KW  - Physical Anthropology
TI  - Information fusion for infant age estimation from deciduous teeth using machine learning
DO  - 10.1002/ajpa.24912
ER  -