Analysis of Dental Imageries Towards Improved Diagnosis

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Analysis of Dental Imageries Towards Improved Diagnosis

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Analysis of Dental Imageries Towards Improved Diagnosis, which focuses on integrating computer engineering principles with dental care, specifically for caries detection. The authors detail methods for enhancing the accuracy and efficiency of dental diagnostics, exploring both hardware-based techniques like X-ray and Optical Coherence Tomography (OCT), and software-based approaches using sophisticated algorithms and machine learning models. A core focus is on minimizing computational overhead and addressing image quality issues, such as low resolution and the aliasing effect, through techniques like Super Resolution and the application of Neutrosophic Logic for efficient region-of-interest segmentation. The work aims to assist clinicians by providing more objective and precise assessments of dental caries, particularly in early and inter-proximal stages, to improve patient outcomes and management.

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