AIMC Topic: Anatomic Landmarks

Clear Filters Showing 61 to 70 of 133 articles

Structure-Coherent Deep Feature Learning for Robust Face Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 2, 2021
In this paper, we propose a structure-coherent deep feature learning method for face alignment. Unlike most existing face alignment methods which overlook the facial structure cues, we explicitly exploit the relation among facial landmarks to make th...
Databases, Factual Deep Learning Anatomic Landmarks Automated Facial Recognition Humans Face
View on PubMed DOI

Identifying anatomical structures on ultrasound: assistive artificial intelligence in ultrasound-guided regional anesthesia.

Clinical anatomy (New York, N.Y.) May 11, 2021
Ultrasound-guided regional anesthesia involves visualizing sono-anatomy to guide needle insertion and the perineural injection of local anesthetic. Anatomical knowledge and recognition of anatomical structures on ultrasound are known to be imperfect ...
Clinical Competence Anesthetics, Local Anatomic Landmarks Ultrasonography, Interventional Humans Artificial Intelligence
View on PubMed DOI

Automatic Cephalometric Landmark Identification System Based on the Multi-Stage Convolutional Neural Networks with CBCT Combination Images.

Sensors (Basel, Switzerland) Jan 12, 2021
This study was designed to develop and verify a fully automated cephalometry landmark identification system, based on multi-stage convolutional neural networks (CNNs) architecture, using a combination dataset. In this research, we trained and tested ...
Cone-Beam Computed Tomography Imaging, Three-Dimensional Anatomic Landmarks Cephalometry Databases, Factual Retrospective Studies Reproducibility of Results Craniofacial Abnormalities Humans Neural Networks, Computer
View on PubMed DOI

Fully automatic volume segmentation of infrarenal abdominal aortic aneurysm computed tomography images with deep learning approaches versus physician controlled manual segmentation.

Journal of vascular surgery Dec 9, 2020
OBJECTIVE: Imaging software has become critical tools in the diagnosis and decision making for the treatment of abdominal aortic aneurysms (AAA). However, the interobserver reproducibility of the maximum cross-section diameter is poor. This study aim...
Humans Retrospective Studies Reproducibility of Results Anatomic Landmarks Radiographic Image Interpretation, Computer-Assisted Workflow Observer Variation Deep Learning Predictive Value of Tests Aortic Aneurysm, Abdominal Software Design Aortography Automation Multidetector Computed Tomography Computed Tomography Angiography
View on PubMed DOI

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...
Reproducibility of Results Deep Learning Anatomic Landmarks Neural Networks, Computer Algorithms
View on PubMed DOI

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 Cross-Sectional Studies Male Young Adult Adult Adolescent Image Processing, Computer-Assisted Face Child Anatomic Landmarks Age Determination by Skeleton Imaging, Three-Dimensional
View on PubMed DOI

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...
Cephalometry Datasets as Topic Sex Determination by Skeleton Logistic Models Humans Male Skull Support Vector Machine Neural Networks, Computer Middle Aged Bulgaria Anatomic Landmarks Female Adolescent Reproducibility of Results Aged, 80 and over Aged Adult
View on PubMed DOI

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 Neural Networks, Computer Reproducibility of Results Image Processing, Computer-Assisted
View on PubMed DOI

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 Neural Networks, Computer Culicidae Anatomic Landmarks Reproducibility of Results Bees Animals
View on PubMed DOI

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 Anatomic Landmarks Tomography, X-Ray Computed Logistic Models Young Adult Cephalometry Adolescent Humans Aged Decision Trees Data Mining Adult Machine Learning Imaging, Three-Dimensional Aged, 80 and over Middle Aged Algorithms
View on PubMed DOI
Popular Topics
Recent Journals