Keywords
Dental Image Analysis
Segmentation
Convolutional Neural Networks
Dental Imaging
How to Cite
Abstract
Dental imaging plays a crucial role in diagnosis, treatment planning, and assessing treatment outcomes. However, manual analysis of these images is time-consuming and subjective. Machine learning (ML) algorithms offer a promising approach to automate the segmentation and analysis of dental images, improving efficiency and accuracy. This study investigates various ML approaches for dental image segmentation and analysis, evaluating their performance and discussing their potential applications in clinical practice.
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