AIMC Topic: Tomography, X-Ray Computed
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Generalizable self-supervised learning for brain CTA in acute stroke.
Computers in biology and medicine
Nov 12, 2024
Acute stroke management involves rapid and accurate interpretation of CTA imaging data. However, generalizable models for multiple acute stroke tasks able to learn from unlabeled data do not exist. We propose a linear probed self-supervised contrasti...
Deep learning prediction of scenario doses for direct plan robustness evaluations in IMPT for head-and-neck.
Physics in medicine and biology
Nov 12, 2024
. Intensity modulated proton therapy (IMPT) is susceptible to uncertainties in patient setup and proton range. Robust optimization is employed in IMPT treatment planning to ensure sufficient coverage of the clinical target volume (CTV) in predefined ...
Prediction of Bone Mineral Density based on Computer Tomography Images Using Deep Learning Model.
Gerontology
Nov 11, 2024
INTRODUCTION: The problem of population aging is intensifying worldwide. Osteoporosis has become an important cause affecting the health status of older populations. However, the diagnosis of osteoporosis and people's understanding of it are seriousl...
Evaluating the effectiveness of AI-powered UrologiQ's in accurately measuring kidney stone volume in urolithiasis patients.
Urolithiasis
Nov 11, 2024
Kidney stones and urolithiasis are kidney diseases that have a significant impact on health and well-being, and their incidence is increasing annually owing to factors such as age, sex, ethnicity, and geographical location. Accurate identification an...
Deep learning segmentation-based bone removal from computed tomography of the brain improves subdural hematoma detection.
Journal of neuroradiology = Journal de neuroradiologie
Nov 8, 2024
PURPOSE: Timely identification of intracranial blood products is clinically impactful, however the detection of subdural hematoma (SDH) on non-contrast CT scans of the head (NCCTH) is challenging given interference from the adjacent calvarium. This w...
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.
Medical image analysis
Nov 8, 2024
Automated volumetric segmentation of the pancreas on cross-sectional imaging is needed for diagnosis and follow-up of pancreatic diseases. While CT-based pancreatic segmentation is more established, MRI-based segmentation methods are understudied, la...
Measurement of ureteral length: Comparison of deep learning-based method and other estimation methods on CT and KUB.
Computers in biology and medicine
Nov 8, 2024
BACKGROUND: Accurate preoperative assessment of ureteral length is crucial for effective ureteral stenting.
Neural network-based automated proptosis measurement using computed tomography images for patients with thyroid-associated orbitopathy.
Scientific reports
Nov 8, 2024
The purpose of this study was to evaluate the clinical feasibility and reliability of a neural network (NN)-based automated proptosis measurement system using computed tomography (CT) images. An automated proptosis measurement system was developed us...
Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney.
Scientific reports
Nov 8, 2024
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel morphology changes are associated with numerous pathologies. Still, precise segmentation is difficult due to the complexity of vascular structures, anatomical va...
PACT-3D, a deep learning algorithm for pneumoperitoneum detection in abdominal CT scans.
Nature communications
Nov 7, 2024
Delays or misdiagnoses in detecting pneumoperitoneum can significantly increase mortality and morbidity. We developed and validated a deep learning model designed to identify pneumoperitoneum in computed tomography images. The model is trained on abd...
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