AIMC Topic: Skull

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Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR.

PloS one Oct 12, 2022
The segmentation of medical and dental images is a fundamental step in automated clinical decision support systems. It supports the entire clinical workflow from diagnosis, therapy planning, intervention, and follow-up. In this paper, we propose a no...
Skull Image Processing, Computer-Assisted Artificial Intelligence Radionuclide Imaging Cone-Beam Computed Tomography Head
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Deep learning-based framework for automatic cranial defect reconstruction and implant modeling.

Computer methods and programs in biomedicine Oct 11, 2022
BACKGROUND AND OBJECTIVE: This article presents a robust, fast, and fully automatic method for personalized cranial defect reconstruction and implant modeling.
Software Printing, Three-Dimensional Prostheses and Implants Skull Deep Learning Image Processing, Computer-Assisted
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Deep-learning synthesized pseudo-CT for MR high-resolution pediatric cranial bone imaging (MR-HiPCB).

Magnetic resonance in medicine Jun 17, 2022
PURPOSE: CT is routinely used to detect cranial abnormalities in pediatric patients with head trauma or craniosynostosis. This study aimed to develop a deep learning method to synthesize pseudo-CT (pCT) images for MR high-resolution pediatric cranial...
Tomography, X-Ray Computed Deep Learning Humans Magnetic Resonance Imaging Skull Child Image Processing, Computer-Assisted
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Machine learning and geometric morphometrics to predict obstructive sleep apnea from 3D craniofacial scans.

Sleep medicine Apr 29, 2022
BACKGROUND: Obstructive sleep apnea (OSA) remains massively underdiagnosed, due to limited access to polysomnography (PSG), the highly complex gold standard for diagnosis. Performance scores in predicting OSA are evaluated for machine learning (ML) a...
Surveys and Questionnaires Imaging, Three-Dimensional Male Middle Aged Sleep Apnea, Obstructive Head Skull Mass Screening Cephalometry Machine Learning Aged Polysomnography Humans
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Automatic measurement of fetal head circumference using a novel GCN-assisted deep convolutional network.

Computers in biology and medicine Apr 15, 2022
The growth of the fetus can be effectively monitored by measuring the fetal head circumference (HC) in ultrasound images. Moreover, it is the key to assessing the fetus's health. Ultrasound fetal head image boundary is blurred. The ultrasound sound s...
Head Skull Ultrasonography Image Processing, Computer-Assisted Neural Networks, Computer
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A study on sex estimation by using machine learning algorithms with parameters obtained from computerized tomography images of the cranium.

Scientific reports Mar 11, 2022
The aim of this study is to test whether sex prediction can be made by using machine learning algorithms (ML) with parameters taken from computerized tomography (CT) images of cranium and mandible skeleton which are known to be dimorphic. CT images o...
Tomography, X-Ray Computed Female Skull Male Machine Learning Humans Algorithms
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Application of Deep Learning Techniques for Automated Diagnosis of Non-Syndromic Craniosynostosis Using Skull.

The Journal of craniofacial surgery Mar 9, 2022
Non-syndromic craniosynostosis (NSCS) is a disease, in which a single cranial bone suture is prematurely fused. The early intervention of the disease is associated with a favorable outcome at a later age, so appropriate screening of NSCS is essential...
Skull Plagiocephaly Deep Learning Craniosynostoses Retrospective Studies Infant Humans
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Three-dimensional deep learning to automatically generate cranial implant geometry.

Scientific reports Feb 17, 2022
We present a 3D deep learning framework that can generate a complete cranial model using a defective one. The Boolean subtraction between these two models generates the geometry of the implant required for surgical reconstruction. There is little or ...
Humans Deep Learning Prosthesis Design Craniotomy Skull Prostheses and Implants Imaging, Three-Dimensional Plastic Surgery Procedures
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Human identification performed with skull's sphenoid sinus based on deep learning.

International journal of legal medicine Jan 13, 2022
Human identification plays a significant role in the investigations of disasters and criminal cases. Human identification could be achieved quickly and efficiently via 3D sphenoid sinus models by customized convolutional neural networks. In this retr...
Skull Retrospective Studies Forensic Anthropology Female Humans Middle Aged Sphenoid Sinus Deep Learning
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Generalizing deep learning brain segmentation for skull removal and intracranial measurements.

Magnetic resonance imaging Jan 7, 2022
Total intracranial volume (TICV) and posterior fossa volume (PFV) are essential covariates for brain volumetric analyses with structural magnetic resonance imaging (MRI). Detailed whole brain segmentation provides a non-invasive way to measure brain ...
Neuroimaging Skull Deep Learning Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging
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