A new CT-scan based risk score facilitates the identification of patients at risk of revision endoscopic sinus surgery due to chronic rhinosinusitis.
AZoRobotics on MSN4d
Deep Learning Model for Accurate Detection of Tooth and Sinus Structures in Dental X-raysThe YOLO 11n model developed by ALIVE identifies tooth and sinus structures in dental X-rays with 98.2 % accuracy, enhancing ...
The Ateneo Laboratory for Intelligent Visual Environments (ALIVE) and international researchers have developed a deep learning model that aims to revolutionize dentistry, with the capability to ...
To be a champion requires more than being a strong player, one has to be a strong human being as well.” — Antoly Karpov ...
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