AIMC Topic: Imaging, Three-Dimensional

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Enhancing lesion detection in automated breast ultrasound using unsupervised multi-view contrastive learning with 3D DETR.

Medical image analysis Jan 18, 2025
The inherent variability of lesions poses challenges in leveraging AI in 3D automated breast ultrasound (ABUS) for lesion detection. Traditional methods based on single scans have fallen short compared to comprehensive evaluations by experienced sono...
Unsupervised Machine Learning Female Ultrasonography, Mammary Breast Neoplasms Imaging, Three-Dimensional Humans Algorithms Image Interpretation, Computer-Assisted
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Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder.

Neuroradiology Jan 18, 2025
INTRODUCTION: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI a...
Adult Male Middle Aged Brain Female Imaging, Three-Dimensional Magnetic Resonance Imaging Diagnosis, Differential Depressive Disorder, Major Case-Control Studies Bipolar Disorder Humans Machine Learning Image Interpretation, Computer-Assisted
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Advancements in Frank's sign Identification using deep learning on 3D brain MRI.

Scientific reports Jan 18, 2025
Frank's sign (FS) is a diagnostic marker associated with aging and various health conditions. Despite its clinical significance, there lacks a standardized method for its identification. This study aimed to develop a deep learning model for automated...
ROC Curve Humans Imaging, Three-Dimensional Brain Magnetic Resonance Imaging Female Male Aged Middle Aged Adult Deep Learning
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Synthesized colonoscopy dataset from high-fidelity virtual colon with abnormal simulation.

Computers in biology and medicine Jan 17, 2025
With the advent of the deep learning-based colonoscopy system, the need for a vast amount of high-quality colonoscopy image datasets for training is crucial. However, the generalization ability of deep learning models is challenged by the limited ava...
Imaging, Three-Dimensional Colonic Polyps Colonography, Computed Tomographic Colon Colonoscopy Deep Learning Humans Databases, Factual
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PFENet: Towards precise feature extraction from sparse point cloud for 3D object detection.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2025
Accurate 3D point cloud object detection is crucially important for autonomous driving vehicles. The sparsity of point clouds in 3D scenes, especially for smaller targets like pedestrians and bicycles that contain fewer points, makes detection partic...
Humans Neural Networks, Computer Algorithms Imaging, Three-Dimensional Pattern Recognition, Automated
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Adapting to evolving MRI data: A transfer learning approach for Alzheimer's disease prediction.

NeuroImage Jan 16, 2025
Integrating 3D magnetic resonance imaging (MRI) with machine learning has shown promising results in healthcare, especially in detecting Alzheimer's Disease (AD). However, changes in MRI technologies and acquisition protocols often yield limited data...
Humans Neural Networks, Computer Machine Learning Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Neuroimaging Aged Aged, 80 and over Male Brain Female
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SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks.

Medical image analysis Jan 15, 2025
The orientation of a blood vessel as visualized in 3D medical images is an important descriptor of its geometry that can be used for centerline extraction and subsequent segmentation, labeling, and visualization. Blood vessels appear at multiple scal...
Graph Neural Networks Humans Algorithms Neural Networks, Computer Imaging, Three-Dimensional
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VcaNet: Vision Transformer with fusion channel and spatial attention module for 3D brain tumor segmentation.

Computers in biology and medicine Jan 14, 2025
Accurate segmentation of brain tumors from MRI scans is a critical task in medical image analysis, yet it remains challenging due to the complex and variable nature of tumor shapes and sizes. Traditional convolutional neural networks (CNNs), while ef...
Magnetic Resonance Imaging Neural Networks, Computer Brain Neoplasms Humans Imaging, Three-Dimensional
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Generation of high-resolution MPRAGE-like images from 3D head MRI localizer (AutoAlign Head) images using a deep learning-based model.

Japanese journal of radiology Jan 11, 2025
PURPOSE: Magnetization prepared rapid gradient echo (MPRAGE) is a useful three-dimensional (3D) T1-weighted sequence, but is not a priority in routine brain examinations. We hypothesized that converting 3D MRI localizer (AutoAlign Head) images to MPR...
Female Aged Male Brain Retrospective Studies Dementia Imaging, Three-Dimensional Magnetic Resonance Imaging Middle Aged Deep Learning Cognitive Dysfunction Humans
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Improving 3D deep learning segmentation with biophysically motivated cell synthesis.

Communications biology Jan 11, 2025
Biomedical research increasingly relies on three-dimensional (3D) cell culture models and artificial-intelligence-based analysis can potentially facilitate a detailed and accurate feature extraction on a single-cell level. However, this requires for ...
Imaging, Three-Dimensional Humans Deep Learning Cell Culture Techniques, Three Dimensional
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