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Deep Learning for Maxillofacial Coloration by Virna Simões is a document available to read on EtoBox.

What is Deep Learning for Maxillofacial Coloration about?

This study explores the application of deep artificial neural networks (ANN) for the coloration of maxillofacial prostheses, comparing its effectiveness to the random forest algorithm. The results indicate that the ANN approach yields superior color matching, with a DE00 value of 3.45 compared to 5.54 for random forest, suggesting its potential for improving prosthetic fabrication. The research highlights the importance of machine learning in enhancing the accuracy of color reproduction in medical applicati

Author

Virna Simões

Language

EN