AIMC Topic: Anatomic Landmarks

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Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images.

IEEE transactions on medical imaging Nov 30, 2020
In this study, we propose a fast and accurate method to automatically localize anatomical landmarks in medical images. We employ a global-to-local localization approach using fully convolutional neural networks (FCNNs). First, a global FCNN localizes...
Algorithms Reproducibility of Results Deep Learning Anatomic Landmarks Neural Networks, Computer
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Age verification using random forests on facial 3D landmarks.

Forensic science international Nov 21, 2020
Three-dimensional facial images are becoming more and more widespread. As such images provide more information about facial morphology than 2D imagery, they show great promise for use in future forensic applications, including age estimation and veri...
Humans Machine Learning Female Male Adolescent Child Imaging, Three-Dimensional Young Adult Adult Cross-Sectional Studies Image Processing, Computer-Assisted Anatomic Landmarks Face Age Determination by Skeleton
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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...
Anatomic Landmarks Cephalometry Datasets as Topic Sex Determination by Skeleton Adolescent Logistic Models Support Vector Machine Skull Bulgaria Female Reproducibility of Results Aged Humans Male Aged, 80 and over Neural Networks, Computer Middle Aged Adult
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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...
Bayes Theorem Anatomic Landmarks Cephalometry Reproducibility of Results Image Processing, Computer-Assisted Neural Networks, Computer
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A framework based on deep neural networks to extract anatomy of mosquitoes from images.

Scientific reports Aug 3, 2020
We design a framework based on Mask Region-based Convolutional Neural Network to automatically detect and separately extract anatomical components of mosquitoes-thorax, wings, abdomen and legs from images. Our training dataset consisted of 1500 smart...
Image Processing, Computer-Assisted Culicidae Anatomic Landmarks Bees Neural Networks, Computer Reproducibility of Results Animals
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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 ...
Sex Determination by Skeleton Skull Forensic Anthropology Machine Learning Algorithms Humans Adolescent Imaging, Three-Dimensional Logistic Models Young Adult Cephalometry Tomography, X-Ray Computed Adult Decision Trees Data Mining Aged Middle Aged Anatomic Landmarks Aged, 80 and over
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Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).

The international journal of cardiovascular imaging Jul 8, 2020
The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (...
Gestational Age Double Outlet Right Ventricle Fetal Heart Echocardiography, Four-Dimensional Predictive Value of Tests Female Ultrasonography, Prenatal Anatomic Landmarks Reproducibility of Results Spatio-Temporal Analysis Image Interpretation, Computer-Assisted Young Adult Diagnosis, Computer-Assisted Humans Adult Artificial Intelligence Pregnancy
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Automatic Midline Identification in Transverse 2-D Ultrasound Images of the Spine.

Ultrasound in medicine & biology Jul 7, 2020
Effective epidural needle placement and injection involves accurate identification of the midline of the spine. Ultrasound, as a safe pre-procedural imaging modality, is suitable for epidural guidance because it offers adequate visibility of the vert...
Ultrasonography Anatomic Landmarks Epidural Space Humans Neural Networks, Computer
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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...
Internet Anatomic Landmarks Deep Learning Cephalometry Radiography
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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...
Cephalometry Reproducibility of Results Humans Automation Imaging, Three-Dimensional Skull Machine Learning Anatomic Landmarks Tomography, X-Ray Computed
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