AIMC Topic: Organ Size

Clear Filters Showing 31 to 40 of 78 articles

Deep learning segmentation and quantification method for assessing epicardial adipose tissue in CT calcium score scans.

Scientific reports Feb 10, 2022
Epicardial adipose tissue volume (EAT) has been linked to coronary artery disease and the risk of major adverse cardiac events. As manual quantification of EAT is time-consuming, requires specialized training, and is prone to human error, we develope...
Humans Coronary Artery Disease Calcium Heart Disease Risk Factors Risk Pericardium Tomography, X-Ray Computed Deep Learning Adipose Tissue Organ Size
View on PubMed DOI

Deep learning-based pancreas volume assessment in individuals with type 1 diabetes.

BMC medical imaging Jan 5, 2022
Pancreas volume is reduced in individuals with diabetes and in autoantibody positive individuals at high risk for developing type 1 diabetes (T1D). Studies investigating pancreas volume are underway to assess pancreas volume in large clinical databas...
Diabetes Mellitus, Type 1 Magnetic Resonance Imaging Organ Size Pancreas Deep Learning Adolescent Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Algorithms Retrospective Studies Male
View on PubMed DOI

Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly.

Radiology Oct 26, 2021
Background Imaging assessment for hepatomegaly is not well defined and currently uses suboptimal, unidimensional measures. Liver volume provides a more direct measure for organ enlargement. Purpose To determine organ volume and to establish threshold...
Male Humans Retrospective Studies Hepatomegaly Middle Aged Tomography, X-Ray Computed Deep Learning Female Organ Size
View on PubMed DOI

Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions.

Scientific reports Aug 16, 2021
Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantification of MFI requires time-consuming and rater-dependent manual segmentation techniques. A convolutional neural network (CNN) model was trained to se...
Humans Female Reproducibility of Results Young Adult Adult Magnetic Resonance Imaging Adipose Tissue Organ Size Cervical Vertebrae Anthropometry Male Deep Learning Image Processing, Computer-Assisted Body Mass Index Neck Muscles Adiposity Datasets as Topic Observer Variation Automation
View on PubMed DOI

Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.

Scientific reports Jan 13, 2021
To compare the performance of artificial intelligence (AI) and Radiographic Assessment of Lung Edema (RALE) scores from frontal chest radiographs (CXRs) for predicting patient outcomes and the need for mechanical ventilation in COVID-19 pneumonia. Ou...
Cohort Studies Image Processing, Computer-Assisted Organ Size Male Middle Aged Respiration, Artificial Lung Artificial Intelligence COVID-19 Prognosis Tomography, X-Ray Computed Female Humans Aged Aged, 80 and over Young Adult Adult
View on PubMed DOI

Automatic segmentation of ventricular volume by 3D ultrasonography in post haemorrhagic ventricular dilatation among preterm infants.

Scientific reports Jan 12, 2021
To train, evaluate, and validate the application of a deep learning framework in three-dimensional ultrasound (3D US) for the automatic segmentation of ventricular volume in preterm infants with post haemorrhagic ventricular dilatation (PHVD). We tra...
Heart Ventricles Hypertrophy Infant, Premature Software Design Infant, Newborn Sensitivity and Specificity Dilatation, Pathologic Deep Learning Ultrasonography Imaging, Three-Dimensional Image Processing, Computer-Assisted Organ Size Breast Humans Neural Networks, Computer
View on PubMed DOI

Machine learning augmented near-infrared spectroscopy: In vivo follow-up of cartilage defects.

Osteoarthritis and cartilage Dec 30, 2020
OBJECTIVE: To assess the potential of near-infrared spectroscopy (NIRS) for in vivo arthroscopic monitoring of cartilage defects.
Neural Networks, Computer Machine Learning Animals Cartilage Diseases Spectroscopy, Near-Infrared Cartilage, Articular Organ Size Wrist Joint Horses Carpal Joints Arthroscopy
View on PubMed DOI

Achalasia subtypes can be identified with functional luminal imaging probe (FLIP) panometry using a supervised machine learning process.

Neurogastroenterology and motility Jul 1, 2020
BACKGROUND: Achalasia subtypes on high-resolution manometry (HRM) prognosticate treatment response and help direct management plan. We aimed to utilize parameters of distension-induced contractility and pressurization on functional luminal imaging pr...
Supervised Machine Learning Electric Impedance Manometry Diagnostic Techniques, Digestive System Endoscopy, Digestive System Esophageal Achalasia Adult Male Middle Aged Organ Size Esophagus Humans Female Aged
View on PubMed DOI

Machine-learning based exploration of determinants of gray matter volume in the KORA-MRI study.

Scientific reports May 20, 2020
To identify the most important factors that impact brain volume, while accounting for potential collinearity, we used a data-driven machine-learning approach. Gray Matter Volume (GMV) was derived from magnetic resonance imaging (3T, FLAIR) and adjust...
Confounding Factors, Epidemiologic Cardiovascular Diseases Middle Aged Case-Control Studies Diabetes Mellitus, Type 2 Glomerular Filtration Rate Prospective Studies Female Cross-Sectional Studies Male Linear Models Follow-Up Studies Humans Magnetic Resonance Imaging Germany Machine Learning Models, Neurological Gray Matter Organ Size Prediabetic State Life Style
View on PubMed DOI

Application of Generalized Split Linearized Bregman Iteration algorithm for Alzheimer's disease prediction.

Aging Apr 5, 2020
In this paper, we applied a novel method for the detection of Alzheimer's disease (AD) based on a structural magnetic resonance imaging (sMRI) dataset. Specifically, the method involved a new classification algorithm of machine learning, named Genera...
Middle Aged Magnetic Resonance Imaging Organ Size Female Predictive Value of Tests Alzheimer Disease Reproducibility of Results Neuroimaging Humans Aged Gray Matter Machine Learning Male Algorithms Prognosis
View on PubMed DOI
Popular Topics
Recent Journals