Browsing by Author "Sánchez Villa, Juan Manuel"

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    Sistema de evaluación inteligente de terceros molares basado en aprendizaje automático y procesamiento de imágenes.
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2024-08) Sánchez Villa, Juan Manuel; Sánchez Zumba, Andrea Patricia
    project explores the anatomical characteristics of third molars and applies advanced techniques in automated learning and image processing for their evaluation. The Pell and Gregory, and Winter classifications were used to structure a database of 2592 instances into 12 main categories, enabling precise model training using the YOLO algorithm in its YOLOv8x version. The selection of appropriate tools and software was pivotal for the successful development of the artificial intelligence model; Google Colab was chosen for training due to its high processing speed, achieving optimal training within 45 to 55 epochs for each category of third molars. Additionally, an interface for third molar evaluation was developed using CustomTkinter, leveraging YOLOv8's extensive compatibility with Python libraries compared to earlier versions and other available artificial vision algorithms. This facilitated the creation of an interactive and user-friendly platform for dental professionals. For clinical data management and storage, Firebase Admin was implemented, enabling the collection and organization of results from each clinical case. This led to the development of a comprehensive dental clinical template containing essential parameters necessary for subsequent reviews by dentists. Overall, this advanced system enhances accuracy in diagnosing and evaluating third molars, optimizing dental practices through effective integration of artificial intelligence technologies and development tools, providing an efficient and precise approach to managing clinical data.