AIMC Topic: Imaging, Three-Dimensional

Clear Filters Showing 1121 to 1130 of 1894 articles

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis.

NMR in biomedicine
The central vein sign (CVS) is an efficient imaging biomarker for multiple sclerosis (MS) diagnosis, but its application in clinical routine is limited by inter-rater variability and the expenditure of time associated with manual assessment. We descr...

Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentation.

Medical physics
PURPOSE: Segmentation of left ventricular myocardium (LVM) in coronary computed tomography angiography (CCTA) is important for diagnosis of cardiovascular diseases. Due to poor image contrast and large variation in intensity and shapes, LVM segmentat...

Analysis of neurite length of hippocampal neurons cultured into 3D artificial network patterned microfluidic chips.

The International journal of neuroscience
The study aims to lay a foundational probe for the thorough application microfluidic chips in brain function research with microfluidic chips. Neuron slide culture is a common culture method , and the microfluidic chip with the artificial network pa...

Segmentation and visualization of left atrium through a unified deep learning framework.

International journal of computer assisted radiology and surgery
PURPOSE: Left atrium segmentation and visualization serve as a fundamental and crucial role in clinical analysis and understanding of atrial fibrillation. However, most of the existing methods are directly transmitting information, which may cause re...

ChronoMID-Cross-modal neural networks for 3-D temporal medical imaging data.

PloS one
ChronoMID-neural networks for temporally-varying, hence Chrono, Medical Imaging Data-makes the novel application of cross-modal convolutional neural networks (X-CNNs) to the medical domain. In this paper, we present multiple approaches for incorporat...

Real-time computer vision system for tracking simultaneously subject-specific rigid head and non-rigid facial mimic movements using a contactless sensor and system of systems approach.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Head and facial mimic animations play important roles in various fields such as human-machine interactions, internet communications, multimedia applications, and facial mimic analysis. Numerous studies have been trying to si...

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.

Scientific reports
We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step towards understanding the limitations of existing state-of-the-art comput...

Prediction of Sequential Organelles Localization under Imbalance using A Balanced Deep U-Net.

Scientific reports
Assessing the structure and function of organelles in living organisms of the primitive unicellular red algae Cyanidioschyzon merolae on three-dimensional sequential images demands a reliable automated technique in the class imbalance among various c...

Live Semantic 3D Perception for Immersive Augmented Reality.

IEEE transactions on visualization and computer graphics
Semantic understanding of 3D environments is critical for both the unmanned system and the human involved virtual/augmented reality (VR/AR) immersive experience. Spatially-sparse convolution, taking advantage of the intrinsic sparsity of 3D point clo...

Weakly Supervised Adversarial Learning for 3D Human Pose Estimation from Point Clouds.

IEEE transactions on visualization and computer graphics
Point clouds-based 3D human pose estimation that aims to recover the 3D locations of human skeleton joints plays an important role in many AR/VR applications. The success of existing methods is generally built upon large scale data annotated with 3D ...