AIMC Topic: Cephalometry

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Machine learning approaches for sex estimation using cranial measurements.

International journal of legal medicine Nov 11, 2020
The aim of the present study is to apply support vector machines (SVM) and artificial neural network (ANN) as sex classifiers and to generate useful classification models for sex estimation based on cranial measurements. Besides, the performance of t...
Middle Aged Adolescent Logistic Models Aged, 80 and over Adult Male Datasets as Topic Sex Determination by Skeleton Skull Bulgaria Support Vector Machine Anatomic Landmarks Cephalometry Humans Reproducibility of Results Aged Neural Networks, Computer Female
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Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks.

BMC oral health Oct 7, 2020
BACKGROUND: Despite the integral role of cephalometric analysis in orthodontics, there have been limitations regarding the reliability, accuracy, etc. of cephalometric landmarks tracing. Attempts on developing automatic plotting systems have continuo...
Anatomic Landmarks Cephalometry Reproducibility of Results Image Processing, Computer-Assisted Bayes Theorem Neural Networks, Computer
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Data mining for sex estimation based on cranial measurements.

Forensic science international Aug 2, 2020
The aim of the present study is to develop effective and understandable classification models for sex estimation and to identify the most dimorphic linear measurements in adult crania by means of data mining techniques. Furthermore, machine learning ...
Adult Middle Aged Adolescent Aged Aged, 80 and over Young Adult Anatomic Landmarks Cephalometry Data Mining Sex Determination by Skeleton Imaging, Three-Dimensional Logistic Models Decision Trees Algorithms Tomography, X-Ray Computed Humans Machine Learning Skull Forensic Anthropology
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Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning.

Journal of hematology & oncology Jul 3, 2020
Due to acromegaly's insidious onset and slow progression, its diagnosis is usually delayed, thus causing severe complications and treatment difficulty. A convenient screening method is imperative. Based on our previous work, we herein developed a new...
Acromegaly Photography Diagnostic Self Evaluation Cephalometry Datasets as Topic Face Deep Learning Image Processing, Computer-Assisted Models, Theoretical Female Adult Sensitivity and Specificity Humans Male Severity of Illness Index Algorithms Middle Aged Diagnosis, Computer-Assisted
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Web-based fully automated cephalometric analysis by deep learning.

Computer methods and programs in biomedicine May 6, 2020
BACKGROUND AND OBJECTIVE: An accurate lateral cephalometric analysis is vital in orthodontic diagnosis. Identification of anatomic landmarks on lateral cephalograms is tedious, and errors may occur depending on the doctor's experience. Several attemp...
Deep Learning Internet Radiography Anatomic Landmarks Cephalometry
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Learning-based local-to-global landmark annotation for automatic 3D cephalometry.

Physics in medicine and biology Apr 23, 2020
The annotation of three-dimensional (3D) cephalometric landmarks in 3D computerized tomography (CT) has become an essential part of cephalometric analysis, which is used for diagnosis, surgical planning, and treatment evaluation. The automation of 3D...
Reproducibility of Results Imaging, Three-Dimensional Anatomic Landmarks Skull Cephalometry Automation Humans Machine Learning Tomography, X-Ray Computed
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Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: comparison of machine learning classifier models.

Dento maxillo facial radiology Mar 9, 2020
OBJECTIVES: This study aimed to develop five different supervised machine learning (ML) classifier models using artificial intelligence (AI) techniques and to compare their performance for cervical vertebral maturation (CVM) analysis. A clinical deci...
Cephalometry Cervical Vertebrae Age Determination by Skeleton Humans Artificial Intelligence Machine Learning
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Automated Skeletal Classification with Lateral Cephalometry Based on Artificial Intelligence.

Journal of dental research Jan 24, 2020
Lateral cephalometry has been widely used for skeletal classification in orthodontic diagnosis and treatment planning. However, this conventional system, requiring manual tracing of individual landmarks, contains possible errors of inter- and intrava...
Cephalometry Neural Networks, Computer Artificial Intelligence ROC Curve
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Automatic evaluation of fetal head biometry from ultrasound images using machine learning.

Physiological measurement Jul 1, 2019
OBJECTIVE: Ultrasound-based fetal biometric measurements, such as head circumference (HC) and biparietal diameter (BPD), are frequently used to evaluate gestational age and diagnose fetal central nervous system pathology. Because manual measurements ...
Automation Head Machine Learning Humans Biometry Ultrasonography, Prenatal Image Processing, Computer-Assisted Regression Analysis Cephalometry
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Integrating spatial configuration into heatmap regression based CNNs for landmark localization.

Medical image analysis Mar 25, 2019
In many medical image analysis applications, only a limited amount of training data is available due to the costs of image acquisition and the large manual annotation effort required from experts. Training recent state-of-the-art machine learning met...
Anatomic Landmarks Cephalometry Imaging, Three-Dimensional Hand Spine Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Tomography, X-Ray Computed
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