Computed tomography (CT) is undoubtedly the most reliable and the only method for
accurate diagnosis of sinusitis, while X-ray has long been used as the first imaging …

Accurate image interpretation of Waters' and Caldwell view radiographs used for sinusitis
screening is challenging. Therefore, we developed a deep learning algorithm for diagnosing …

Purpose This study developed a convolutional neural network (CNN) model to diagnose
maxillary sinusitis on panoramic radiographs (PRs) and cone-beam computed tomographic …

Background Sinus X-ray imaging is still used in the initial evaluation of paranasal sinusitis,
which is diagnosed by the opacification or air/fluid level in the sinuses and best seen in the …

Objectives To apply a deep-learning system for diagnosis of maxillary sinusitis on
panoramic radiography, and to clarify its diagnostic performance. Methods Training data for …

Purpose This study aimed to propose an effective end-to-end process in medical imaging
using an independent task learning (ITL) algorithm and to evaluate its performance in …

Objectives The aim of this study was to compare the diagnostic performance of a deep
learning algorithm with that of radiologists in diagnosing maxillary sinusitis on Waters' view …

Objective To construct the deep learning convolution neural network (CNN) model and
machine learning support vector machine (SVM) model of bone remodeling of chronic …

Objectives This study, which uses artificial intelligence-based methods, aimed to determine
the limits of pathologic conditions and infections related to the maxillary sinus in cone beam …

Maxillary sinuses are the most prevalent locations for paranasal infections on both children
and adults. Common diagnostic material for this particular disease is through the screening …