AIMC Topic: Skull

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Diagnosis of trigeminal neuralgia based on plain skull radiography using convolutional neural network.

Scientific reports May 29, 2025
This study aimed to determine whether trigeminal neuralgia can be diagnosed using convolutional neural networks (CNNs) based on plain X-ray skull images. A labeled dataset of 166 skull images from patients aged over 16 years with trigeminal neuralgia...
Adult Male Middle Aged Female Aged Radiography Trigeminal Neuralgia Skull Deep Learning Convolutional Neural Networks ROC Curve Humans Neural Networks, Computer
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Age Estimation by Machine Learning and CT-Multiplanar Reformation of Cranial Sutures in Northern Chinese Han Adults.

Fa yi xue za zhi Apr 25, 2024
OBJECTIVES: To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation (MPR), and to explore the applicability of cranial suture closure rule in age estimation of northern ...
Tomography, X-Ray Computed Female Aged Machine Learning Retrospective Studies Middle Aged China Imaging, Three-Dimensional Aged, 80 and over Adult Male Humans Skull Age Determination by Skeleton Cranial Sutures Forensic Anthropology Bayes Theorem Image Processing, Computer-Assisted Ethnicity East Asian People Linear Models
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A Deep Learning Framework for Skull Stripping in Brain MRI.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Skull-stripping, an important pre-processing step in neuroimage computing, involves the automated removal of non-brain anatomy (such as the skull, eyes, and ears) from brain images to facilitate brain segmentation and analysis. Manual segmentation is...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Skull Humans Brain Brain Neoplasms
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Analysis of the influence of surgical robot drilling parameters on the temperature of skull drilling based on Box-Behnken design.

Science progress Jan 1, 2023
It is easy to cause thermal damage to the bone tissue when the surgical robot performs skull drilling to remove bone flaps, due to the large diameter of the drill bit, the large heat-generating area, and the long drilling time. Therefore, in order to...
Hot Temperature Skull Temperature Reproducibility of Results Robotics
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Estimation of patient's angle from skull radiographs using deep learning.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: Skull radiography, an assessment method for initial diagnosis and post-operative follow-up, requires substantial retaking of various types of radiographs. During retaking, a radiologic technologist estimates a patient's rotation angle fro...
Skull Radiography Humans Head Neural Networks, Computer Deep Learning
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[Evaluation of Radiograph Accuracy in Skull X-ray Images Using Deep Learning].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2022
PURPOSE: Accurate positioning is essential for radiography, and it is especially important to maintain image reproducibility in follow-up observations. The decision on re-taking radiographs is entrusting to the individual radiological technologist. T...
Radiography Skull X-Rays Reproducibility of Results Deep Learning
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Robotic Applications in Cranial Neurosurgery: Current and Future.

Operative neurosurgery (Hagerstown, Md.) Nov 15, 2021
Robotics applied to cranial surgery is a fast-moving and fascinating field, which is transforming the practice of neurosurgery. With exponential increases in computing power, improvements in connectivity, artificial intelligence, and enhanced precisi...
Artificial Intelligence Neurosurgery Robotics Humans Skull Neurosurgical Procedures
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Model Experimental Study of Man-Machine Interactive Robot-Assisted Craniotomy.

The Journal of craniofacial surgery May 1, 2021
To evaluate the feasibility, safety, and accuracy of the new man-machine interactive robotic system in model experiment. The implantation of the 8 to 10 bone screws over the skull model obtained from real patient's digital imaging and communications ...
Craniotomy Imaging, Three-Dimensional Humans Robotics Reproducibility of Results Skull Cone-Beam Computed Tomography
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[Cephalometric analysis of lateral skull X-ray images using soft computing components in the search for key points].

Stomatologiia Jan 1, 2021
THE AIM OF THE STUDY: Was to investigate the efficiency of decoding teleradiological studies using an algorithm based on the use of convolutional neural networks - a simple convolutional architecture, as well as an extended U-Net architecture.
Cephalometry Skull X-Rays Image Processing, Computer-Assisted Radiography Humans Neural Networks, Computer
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State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms.

Journal of digital imaging Dec 1, 2020
Several neuroimaging processing applications consider skull stripping as a crucial pre-processing step. Due to complex anatomical brain structure and intensity variations in brain magnetic resonance imaging (MRI), an appropriate skull stripping is an...
Brain Magnetic Resonance Imaging Skull Humans Neuroimaging Algorithms Deep Learning Image Processing, Computer-Assisted
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