AIMC Topic: Imaging, Three-Dimensional

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Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction.

Magma (New York, N.Y.) Feb 1, 2025
OBJECT: Spatio-temporal MRI methods offer rapid whole-brain multi-parametric mapping, yet they are often hindered by prolonged reconstruction times or prohibitively burdensome hardware requirements. The aim of this project is to reduce reconstruction...
Data Compression Magnetic Resonance Imaging Brain Mapping Phantoms, Imaging Algorithms Brain Spatio-Temporal Analysis Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans
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Automated Euler number of the alveolar capillary network based on deep learning segmentation with verification by stereological methods.

Journal of microscopy Jan 31, 2025
Diseases like bronchopulmonary dysplasia (BPD) affect the development of the pulmonary vasculature, including the alveolar capillary network (ACN). Since pulmonary development is highly dependent on angiogenesis and microvascular maturation, ACN inve...
Capillaries Humans Image Processing, Computer-Assisted Bronchopulmonary Dysplasia Microscopy, Electron, Scanning Deep Learning Pulmonary Alveoli Imaging, Three-Dimensional
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Self-supervised 3D medical image segmentation by flow-guided mask propagation learning.

Medical image analysis Jan 30, 2025
Despite significant progress in 3D medical image segmentation using deep learning, manual annotation remains a labor-intensive bottleneck. Self-supervised mask propagation (SMP) methods have emerged to alleviate this challenge, allowing intra-volume ...
Magnetic Resonance Imaging Supervised Machine Learning Deep Learning Imaging, Three-Dimensional Humans Algorithms
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Optimizing dental implant identification using deep learning leveraging artificial data.

Scientific reports Jan 29, 2025
This study aims to evaluate the potential enhancement in implant classification performance achieved by incorporating artificially generated images of commercially available products into a deep learning process of dental implant classification using...
Dental Implants Deep Learning Imaging, Three-Dimensional Radiography, Panoramic Humans
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A novel approach in cancer diagnosis: integrating holography microscopic medical imaging and deep learning techniques-challenges and future trends.

Biomedical physics & engineering express Jan 29, 2025
Medical imaging is pivotal in early disease diagnosis, providing essential insights that enable timely and accurate detection of health anomalies. Traditional imaging techniques, such as Magnetic Resonance Imaging (MRI), Computer Tomography (CT), ult...
Neoplasms Deep Learning Imaging, Three-Dimensional Humans Algorithms Microscopy Image Processing, Computer-Assisted Holography Diagnostic Imaging
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Automatic segmentation of the midfacial bone surface from ultrasound images using deep learning methods.

International journal of oral and maxillofacial surgery Jan 28, 2025
With developments in computer science and technology, great progress has been made in three-dimensional (3D) ultrasound. Recently, ultrasound-based 3D bone modelling has attracted much attention, and its accuracy has been studied for the femur, tibia...
Humans Algorithms Ultrasonography Imaging, Three-Dimensional Female Facial Bones Male Deep Learning
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3D face reconstruction for maxillofacial surgery based on morphable models and neural networks: A preliminary assessment for anthropometry accuracy.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Jan 28, 2025
OBJECTIVES: This study aimed to evaluate the anthropometric accuracy of 3D face reconstruction based on neural networks (3DFRBN) using 2D images, including the assessment of global errors and landmarks, as well as linear and angular measurements.
Humans Neural Networks, Computer Female Young Adult Adult Face Cephalometry Models, Anatomic Male Healthy Volunteers Surgery, Oral Imaging, Three-Dimensional Anthropometry Anatomic Landmarks
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A novel artificial intelligence-powered tool for automated root canal segmentation in single-rooted teeth on cone-beam computed tomography.

International endodontic journal Jan 28, 2025
AIM: To develop and validate an artificial intelligence (AI)-powered tool based on convolutional neural network (CNN) for automatic segmentation of root canals in single-rooted teeth using cone-beam computed tomography (CBCT).
Dental Pulp Cavity Cone-Beam Computed Tomography Imaging, Three-Dimensional Artificial Intelligence Retrospective Studies Tooth Root Humans Neural Networks, Computer
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Advancing lung cancer diagnosis: Combining 3D auto-encoders and attention mechanisms for CT scan analysis.

Journal of X-ray science and technology Jan 28, 2025
ObjectiveThe goal of this study is to assess the effectiveness of a hybrid deep learning model that combines 3D Auto-encoders with attention mechanisms to detect lung cancer early from CT scan images. The study aims to improve diagnostic accuracy, se...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Imaging, Three-Dimensional Tomography, X-Ray Computed Algorithms Lung Neoplasms Sensitivity and Specificity Lung
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A novel clinical investigation using deep learning and human-in-the-loop approach in orbital volume measurement.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Jan 27, 2025
Orbital volume assessment is crucial for surgical planning. Traditional methods lack efficiency and accuracy. Recent studies explore AI-driven techniques, but research on their clinical effectiveness is limited. This study included 349 patients aged ...
Deep Learning Imaging, Three-Dimensional Organ Size Orbit Adult Male Middle Aged Aged Young Adult Humans Tomography, X-Ray Computed Female
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