AIMC Topic: Maxillary Sinus

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Panoramic Radiography in the Evaluation of the Relationship of Maxillary Molar Teeth and Maxillary Sinuses on the Deep Learning Models Improved with the Findings Obtained by Cone Beam Computed Tomography.

Nigerian journal of clinical practice May 29, 2024
BACKGROUND: Panoramic radiography (PR) is available to determine the contact relationship between maxillary molar teeth (MMT) and the maxillary sinus floor (MSF). However, as PRs do not provide clear and detailed anatomical information, advanced imag...
Female Young Adult Adult Humans Retrospective Studies Cone-Beam Computed Tomography Radiography, Panoramic Maxillary Sinus Male Middle Aged Deep Learning Molar Maxilla
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Different machine learning methods based on maxillary sinus in sex estimation for northwestern Chinese Han population.

International journal of legal medicine May 18, 2024
BACKGROUND & OBJECTIVE: Sex estimation is a critical aspect of forensic expertise. Some special anatomical structures, such as the maxillary sinus, can still maintain integrity in harsh environmental conditions and may be served as a basis for sex es...
Child Cone-Beam Computed Tomography Logistic Models Adolescent Child, Preschool Maxillary Sinus Sex Determination by Skeleton Forensic Anthropology Support Vector Machine East Asian People Ethnicity Aged Young Adult Adult Male Middle Aged China Humans Machine Learning Female
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Deep Learning-Based Multi-Class Segmentation of the Paranasal Sinuses of Sinusitis Patients Based on Computed Tomographic Images.

Sensors (Basel, Switzerland) Mar 18, 2024
Accurate paranasal sinus segmentation is essential for reducing surgical complications through surgical guidance systems. This study introduces a multiclass Convolutional Neural Network (CNN) segmentation model by comparing four 3D U-Net variations-n...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Sinusitis Maxillary Sinus Humans Neural Networks, Computer
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GADNN: a revolutionary hybrid deep learning neural network for age and sex determination utilizing cone beam computed tomography images of maxillary and frontal sinuses.

BMC medical research methodology Feb 27, 2024
INTRODUCTION: The determination of identity factors such as age and sex has gained significance in both criminal and civil cases. Paranasal sinuses like frontal and maxillary sinuses, are resistant to trauma and can aid profiling. We developed a deep...
Maxillary Sinus Deep Learning Cone-Beam Computed Tomography Humans Neural Networks, Computer Software Female Male
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Deep learning-based automatic segmentation of bone graft material after maxillary sinus augmentation.

Clinical oral implants research Nov 30, 2023
OBJECTIVES: To investigate the accuracy and reliability of deep learning in automatic graft material segmentation after maxillary sinus augmentation (SA) from cone-beam computed tomography (CBCT) images.
Humans Female Reproducibility of Results Male Sinus Floor Augmentation Cone-Beam Computed Tomography Bone Transplantation Maxillary Sinus Middle Aged Deep Learning
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Abnormal maxillary sinus diagnosing on CBCT images via object detection and 'straight-forward' classification deep learning strategy.

Journal of oral rehabilitation Sep 4, 2023
BACKGROUND: Pathological maxillary sinus would affect implant treatment and even result in failure of maxillary sinus lift and implant surgery. However, the maxillary sinus abnormalities are challenging to be diagnosed through CBCT images, especially...
Maxilla Spiral Cone-Beam Computed Tomography Deep Learning Cone-Beam Computed Tomography Maxillary Sinus Humans
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Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus.

International journal of computer assisted radiology and surgery Jul 21, 2023
PURPOSE: Paranasal anomalies are commonly discovered during routine radiological screenings and can present with a wide range of morphological features. This diversity can make it difficult for convolutional neural networks (CNNs) to accurately class...
Maxillary Sinus Tomography, X-Ray Computed Magnetic Resonance Imaging Head Humans Neural Networks, Computer
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Design and path tracking control of a continuum robot for maxillary sinus surgery.

International journal of computer assisted radiology and surgery Dec 29, 2022
PURPOSE: Continuum robots (CRs) have been developed for maxillary sinus surgery (MSS) in recent years. However, due to the anatomically curved and narrow pathway of the maxillary sinus and the deformable characteristics of the CR, it is still a chall...
Robotics Robotic Surgical Procedures Maxillary Sinus Humans Biomechanical Phenomena Phantoms, Imaging
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Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images.

Scientific reports Aug 17, 2022
The detection of maxillary sinus wall is important in dental fields such as implant surgery, tooth extraction, and odontogenic disease diagnosis. The accurate segmentation of the maxillary sinus is required as a cornerstone for diagnosis and treatmen...
Neural Networks, Computer Cone-Beam Computed Tomography Deep Learning Image Processing, Computer-Assisted Maxillary Sinus
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Convolutional neural network for automatic maxillary sinus segmentation on cone-beam computed tomographic images.

Scientific reports May 7, 2022
An accurate three-dimensional (3D) segmentation of the maxillary sinus is crucial for multiple diagnostic and treatment applications. Yet, it is challenging and time-consuming when manually performed on a cone-beam computed tomography (CBCT) dataset....
Cone-Beam Computed Tomography Neural Networks, Computer Image Processing, Computer-Assisted Reproducibility of Results Maxillary Sinus
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