AIMC Topic: Imaging, Three-Dimensional

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Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 1, 2020
BACKGROUND: Convolutional neural networks (CNNs) have been extensively applied to two-dimensional (2D) medical image segmentation, yielding excellent performance. However, their application to three-dimensional (3D) nodule segmentation remains a chal...
ROC Curve Imaging, Three-Dimensional Image Processing, Computer-Assisted Multiple Pulmonary Nodules Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning
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A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling.

Journal of healthcare engineering Jul 30, 2020
Three-dimensional speckle tracking echocardiography (3D STE) is an emerging noninvasive method for predicting left ventricular remodeling (LVR) after acute myocardial infarction (AMI). Previous studies analyzed the predictive value of 3D STE with tra...
Aged Adult Sensitivity and Specificity Male Heart Ventricles Female Imaging, Three-Dimensional Echocardiography Reproducibility of Results Humans Models, Statistical Risk Factors Ventricular Remodeling Machine Learning Predictive Value of Tests Coronary Angiography Ventricular Dysfunction, Left Middle Aged Area Under Curve Percutaneous Coronary Intervention ROC Curve Myocardial Infarction
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Identifying Facial Features and Predicting Patients of Acromegaly Using Three-Dimensional Imaging Techniques and Machine Learning.

Frontiers in endocrinology Jul 29, 2020
Facial changes are common among nearly all acromegalic patients. As they develop slowly, patients often fail to notice such changes before they become obvious. Consequently, diagnosis and treatment are often delayed. So far, convenient and accurate ...
Discriminant Analysis Early Diagnosis Cross-Sectional Studies Face Acromegaly Humans Male Nose Machine Learning Imaging, Three-Dimensional Female Mandible
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Radiomics and Deep Learning from Research to Clinical Workflow: Neuro-Oncologic Imaging.

Korean journal of radiology Jul 27, 2020
Imaging plays a key role in the management of brain tumors, including the diagnosis, prognosis, and treatment response assessment. Radiomics and deep learning approaches, along with various advanced physiologic imaging parameters, hold great potentia...
Prognosis Brain Neoplasms Deep Learning Imaging, Three-Dimensional Diagnosis, Differential Guidelines as Topic Evidence-Based Medicine Humans Optical Imaging
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Revealing architectural order with quantitative label-free imaging and deep learning.

eLife Jul 27, 2020
We report quantitative label-free imaging with phase and polarization (QLIPP) for simultaneous measurement of density, anisotropy, and orientation of structures in unlabeled live cells and tissue slices. We combine QLIPP with deep neural networks to ...
Fetus Anisotropy Animals Humans Deep Learning Brain Imaging, Three-Dimensional Mice
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Histomorphological investigation of intrahepatic connective tissue for surgical anatomy based on modern computer imaging analysis.

Journal of hepato-biliary-pancreatic sciences Jul 22, 2020
BACKGROUND/PURPOSE: Computer-assisted tissue imaging and analytical techniques were used to clarify the histomorphological structure of hepatic connective tissue as a practical guide for surgeons.
Artificial Intelligence Computers Imaging, Three-Dimensional Liver Connective Tissue Humans
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Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.

Computer methods in biomechanics and biomedical engineering Jul 22, 2020
Plaque vulnerability prediction is of great importance in cardiovascular research. In vivo follow-up intravascular ultrasound (IVUS) coronary plaque data were acquired from nine patients to construct fluid-structure interaction models to obtain plaqu...
Male Middle Aged Ultrasonography ROC Curve Female Risk Factors Biomechanical Phenomena Ultrasonography, Interventional Linear Models Coronary Vessels Plaque, Atherosclerotic Imaging, Three-Dimensional Support Vector Machine Area Under Curve Coronary Angiography Humans Machine Learning Models, Cardiovascular
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Lightweight Learning-Based Automatic Segmentation of Subretinal Blebs on Microscope-Integrated Optical Coherence Tomography Images.

American journal of ophthalmology Jul 21, 2020
PURPOSE: Subretinal injections of therapeutics are commonly used to treat ocular diseases. Accurate dosing of therapeutics at target locations is crucial but difficult to achieve using subretinal injections due to leakage, and there is no method avai...
Injections, Intraocular Subretinal Fluid Tomography, Optical Coherence Algorithms Retina Ringer's Lactate Models, Animal Animals Swine Deep Learning ROC Curve Imaging, Three-Dimensional
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Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: The analysis of the maxillary sinus (MS) can provide an assessment for many clinical diagnoses, so accurate CT image segmentation of the MS is essential. However, common segmentation methods are mainly done by experienced doctors manually, a...
Models, Statistical Pattern Recognition, Automated False Positive Reactions Maxillary Sinus Humans Diagnosis, Computer-Assisted Software Neural Networks, Computer Imaging, Three-Dimensional Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed Reproducibility of Results
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Machine learning methods to support personalized neuromusculoskeletal modelling.

Biomechanics and modeling in mechanobiology Jul 16, 2020
Many biomedical, orthopaedic, and industrial applications are emerging that will benefit from personalized neuromusculoskeletal models. Applications include refined diagnostics, prediction of treatment trajectories for neuromusculoskeletal diseases, ...
Musculoskeletal System Biomechanical Phenomena Humans Imaging, Three-Dimensional Machine Learning Models, Anatomic Nervous System
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