AIMC Topic: Imaging, Three-Dimensional

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Lightweight Explicit 3D Human Digitization via Normal Integration.

Sensors (Basel, Switzerland) Feb 28, 2025
In recent years, generating 3D human models from images has gained significant attention in 3D human reconstruction. However, deploying large neural network models in practical applications remains challenging, particularly on resource-constrained ed...
Humans Neural Networks, Computer Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach.

Sensors (Basel, Switzerland) Feb 28, 2025
BACKGROUND: Infant brain tissue segmentation from MRI data is a critical task in medical imaging, particularly challenging due to the evolving nature of tissue contrasts in the early months of life. The difficulty increases as gray matter (GM) and wh...
Spatio-Temporal Analysis White Matter Deep Learning Convolutional Neural Networks Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Brain Cerebrospinal Fluid Magnetic Resonance Imaging Infant Datasets as Topic Gray Matter
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Segmentation of 3D OCT Images of Human Skin Using Neural Networks with U-Net Architecture.

Sovremennye tekhnologii v meditsine Feb 28, 2025
UNLABELLED: is a comparative analysis of algorithms for segmentation of three-dimensional OCT images of human skin using neural networks based on U-Net architecture when training the model on two-dimensional and three-dimensional data.
Humans Algorithms Neural Networks, Computer Imaging, Three-Dimensional Skin Tomography, Optical Coherence
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Artificial Intelligence Based Augmented Reality Navigation in Minimally Invasive Partial Nephrectomy.

Urology Feb 25, 2025
OBJECTIVE: To explore the role of artificial intelligence based augmented reality intraoperative real-time navigation in minimally invasive partial nephrectomy to standardize renal hilum dissection procedures and improve operative efficiency.
Adult Tomography, X-Ray Computed Surgery, Computer-Assisted Laparoscopy Female Humans Male Robotic Surgical Procedures Kidney Neoplasms Aged Middle Aged Artificial Intelligence Nephrectomy Augmented Reality Imaging, Three-Dimensional Operative Time Minimally Invasive Surgical Procedures
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Multi-dimensional consistency learning between 2D Swin U-Net and 3D U-Net for intestine segmentation from CT volume.

International journal of computer assisted radiology and surgery Feb 22, 2025
PURPOSE: The paper introduces a novel two-step network based on semi-supervised learning for intestine segmentation from CT volumes. The intestine folds in the abdomen with complex spatial structures and contact with neighboring organs that bring dif...
Humans Neural Networks, Computer Tomography, X-Ray Computed Imaging, Three-Dimensional Intestines Radiographic Image Interpretation, Computer-Assisted
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Automated Coronary Artery Segmentation with 3D PSPNET using Global Processing and Patch Based Methods on CCTA Images.

Cardiovascular engineering and technology Feb 20, 2025
The prevalence of coronary artery disease (CAD) has become the major cause of death across the world in recent years. The accurate segmentation of coronary artery is important in clinical diagnosis and treatment of coronary artery disease (CAD) such ...
Deep Learning Imaging, Three-Dimensional Predictive Value of Tests Humans Neural Networks, Computer Reproducibility of Results Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease
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T2-weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study.

Journal of applied clinical medical physics Feb 20, 2025
PURPOSE: To compare image quality and clinical utility of a T2-weighted (T2W) 3-dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).
Humans Retrospective Studies Female Male Middle Aged Deep Learning Aged Aged, 80 and over Adult Rectal Neoplasms Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging
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A 3D medical image segmentation network based on gated attention blocks and dual-scale cross-attention mechanism.

Scientific reports Feb 20, 2025
In the field of multi-organ 3D medical image segmentation, Convolutional Neural Networks (CNNs) are limited to extracting local feature information, while Transformer-based architectures suffer from high computational complexity and inadequate extrac...
Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer
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SegFormer3D: Improving the Robustness of Deep Learning Model-Based Image Segmentation in Ultrasound Volumes of the Pediatric Hip.

Ultrasound in medicine & biology Feb 19, 2025
Developmental dysplasia of the hip (DDH) is a painful orthopedic malformation diagnosed at birth in 1-3% of all newborns. Left untreated, DDH can lead to significant morbidity including long-term disability. Currently the condition is clinically diag...
Ultrasonography Imaging, Three-Dimensional Developmental Dysplasia of the Hip Humans Female Infant, Newborn Male Infant Deep Learning
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Artificial intelligence-powered 3D analysis of video-based caregiver-child interactions.

Science advances Feb 19, 2025
We introduce HARMONI, a three-dimensional (3D) computer vision and audio processing method for analyzing caregiver-child behavior and interaction from observational videos. HARMONI operates at subsecond resolution, estimating 3D mesh representations ...
Female Humans Imaging, Three-Dimensional Artificial Intelligence Video Recording Male Caregivers Child
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