AIMC Topic: Imaging, Three-Dimensional

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Application of 3D point cloud and visual-inertial data fusion in Robot dog autonomous navigation.

PloS one Feb 11, 2025
The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments tha...
Dogs Imaging, Three-Dimensional Robotics Geographic Information Systems Algorithms Animals
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Enhancing spatial perception and contextual understanding for 3D dense captioning.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2025
3D dense captioning (3D-DC) transcends traditional 2D image captioning by requiring detailed spatial understanding and object localization, aiming to generate high-quality descriptions for objects within 3D environments. Current approaches struggle w...
Humans Imaging, Three-Dimensional Neural Networks, Computer Space Perception
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ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning.

IEEE journal of biomedical and health informatics Feb 10, 2025
Prognostic assessment remains a critical challenge in medical research, often limited by the lack of well-labeled data. In this work, we introduce ContraSurv, a weakly-supervised learning framework based on contrastive learning, designed to enhance p...
Humans Databases, Factual Prognosis Supervised Machine Learning Image Interpretation, Computer-Assisted Neoplasms Imaging, Three-Dimensional
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Point-annotation supervision for robust 3D pulmonary infection segmentation by CT-based cascading deep learning.

Computers in biology and medicine Feb 8, 2025
Infected region segmentation is crucial for pulmonary infection diagnosis, severity assessment, and monitoring treatment progression. High-performance segmentation methods rely heavily on fully annotated, large-scale training datasets. However, manua...
Lung Deep Learning Imaging, Three-Dimensional Humans Tomography, X-Ray Computed
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A deep learning approach for automatic 3D segmentation of hip cartilage and labrum from direct hip MR arthrography.

Scientific reports Feb 7, 2025
The objective was to use convolutional neural networks (CNNs) for automatic segmentation of hip cartilage and labrum based on 3D MRI. In this retrospective single-center study, CNNs with a U-Net architecture were used to develop a fully automated seg...
Adult Male Deep Learning Imaging, Three-Dimensional Cartilage, Articular Retrospective Studies Middle Aged Arthrography Female Magnetic Resonance Imaging Humans Hip Joint Neural Networks, Computer Young Adult
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A Workflow-Efficient Approach to Pre- and Post-Operative Assessment of Weight-Bearing Three-Dimensional Knee Kinematics.

The Journal of arthroplasty Feb 6, 2025
BACKGROUND: Knee kinematics during daily activities reflect disease severity preoperatively and are associated with clinical outcomes after total knee arthroplasty (TKA). It is widely believed that measured kinematics would be useful for preoperative...
Male Middle Aged Imaging, Three-Dimensional Aged Biomechanical Phenomena Range of Motion, Articular Arthroplasty, Replacement, Knee Machine Learning Weight-Bearing Female Workflow Fluoroscopy Humans Knee Joint
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Zygomatic Osteotomy surgery design software based on skull CT scans - Self-supervised algo reduces workload.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Feb 5, 2025
BACKGROUND: The morphology of the zygomatic complex significantly influences facial appearance, leading to a focus on zygomatic osteotomy. The current technique, the "L-shaped" zygomatic osteotomy, requires a small incision and preoperative osteotomy...
Software Surgery, Computer-Assisted Algorithms Artificial Intelligence Osteotomy Male Humans Imaging, Three-Dimensional Zygoma Female Tomography, X-Ray Computed Adult
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GTIGNet: Global Topology Interaction Graphormer Network for 3D hand pose estimation.

Neural networks : the official journal of the International Neural Network Society Feb 4, 2025
Estimating 3D hand poses from monocular RGB images presents a series of challenges, including complex hand structures, self-occlusions, and depth ambiguities. Existing methods often fall short of capturing the long-distance dependencies of skeletal a...
Deep Learning Imaging, Three-Dimensional Hand Humans Neural Networks, Computer
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CQformer: Learning Dynamics Across Slices in Medical Image Segmentation.

IEEE transactions on medical imaging Feb 4, 2025
Prevalent studies on deep learning-based 3D medical image segmentation capture the continuous variation across 2D slices mainly via convolution, Transformer, inter-slice interaction, and time series models. In this work, via modeling this variation b...
Humans Brain Algorithms Tomography, X-Ray Computed Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Databases, Factual
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SDR-Former: A Siamese Dual-Resolution Transformer for liver lesion classification using 3D multi-phase imaging.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2025
Automated classification of liver lesions in multi-phase CT and MR scans is of clinical significance but challenging. This study proposes a novel Siamese Dual-Resolution Transformer (SDR-Former) framework, specifically designed for liver lesion class...
Magnetic Resonance Imaging Liver Humans Neural Networks, Computer Liver Neoplasms Imaging, Three-Dimensional Tomography, X-Ray Computed
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