AIMC Topic: Maxillary Sinus

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Automated detection of maxillary sinus opacifications compatible with sinusitis from CT images.

Dento maxillo facial radiology Nov 1, 2024
BACKGROUND: Sinusitis is a commonly encountered clinical condition that imposes a considerable burden on the healthcare systems. A significant number of maxillary sinus opacifications are diagnosed as sinusitis, often overlooking the precise differen...
Male Middle Aged Aged Adult Feasibility Studies Maxillary Sinus Maxillary Sinusitis Deep Learning Diagnosis, Differential Tomography, X-Ray Computed Female Humans
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Deep learning in the diagnosis of maxillary sinus diseases: a systematic review.

Dento maxillo facial radiology Sep 1, 2024
OBJECTIVES: To assess the performance of deep learning (DL) in the detection, classification, and segmentation of maxillary sinus diseases.
Maxillary Sinus Paranasal Sinus Diseases Algorithms Deep Learning Humans
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Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images.

Dento maxillo facial radiology Apr 29, 2024
OBJECTIVES: The study aims to develop an artificial intelligence (AI) model based on nnU-Net v2 for automatic maxillary sinus (MS) segmentation in cone beam computed tomography (CBCT) volumes and to evaluate the performance of this model.
Humans Artificial Intelligence Adult Male Cone-Beam Computed Tomography Software Female Maxillary Sinus
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Prediction of age and sex from paranasal sinus images using a deep learning network.

Medicine Feb 19, 2021
This study was conducted to develop a convolutional neural network (CNN)-based model to predict the sex and age of patients by identifying unique unknown features from paranasal sinus (PNS) X-ray images.We employed a retrospective study design and us...
Paranasal Sinuses Maxillary Sinus Deep Learning Data Management Area Under Curve Radiography Predictive Value of Tests Male Middle Aged Adult Sensitivity and Specificity Algorithms Databases, Factual Female Aged Retrospective Studies Humans Neural Networks, Computer
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[Automated system of the determination of maxillary sinus morphometric parameters].

Vestnik otorinolaringologii Jan 1, 2021
THE AIM OF THE STUDY: Was to compare manual, semi-automatic and automatic methods for determining the maxillary sinus volume using cone beam computed tomography (CBCT).
Humans Artificial Intelligence Cone-Beam Computed Tomography Maxillary Sinus
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Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography.

Investigative radiology Jan 1, 2019
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 radiographs.
Radiography Maxillary Sinus Maxillary Sinusitis ROC Curve Area Under Curve Female Middle Aged Sensitivity and Specificity Deep Learning Male Humans Tomography, X-Ray Computed
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Utility of the morphometry of the maxillary sinuses for gender determination by using computed tomography.

Dental and medical problems Jan 1, 2018
BACKGROUND: It is impossible to use the routine skeletal parts for gender identification if the skeleton of unknown human remains is obtained in a fragmented and incomplete state. The alternative is to use other parts of the skeleton for gender ident...
Maxillary Sinus Tomography, X-Ray Computed Sex Determination by Skeleton Male Reproducibility of Results Middle Aged Female Young Adult Cephalometry Adult Humans Sex Characteristics Retrospective Studies
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