AIMC Topic: Tomography, X-Ray Computed

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StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images.

BMC medical imaging Jun 5, 2025
BACKGROUND AND OBJECTIVE: Stroke ranks among the leading causes of disability and death worldwide. Timely detection can reduce its impact. Machine learning delivers powerful tools for image‑based diagnosis. This study introduces StrokeNeXt, a lightwe...
Magnetic Resonance Imaging Machine Learning Humans Stroke Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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Enhancing pancreatic cancer detection in CT images through secretary wolf bird optimization and deep learning.

Scientific reports Jun 5, 2025
The pancreas is a gland in the abdomen that helps to produce hormones and digest food. The irregular development of tissues in the pancreas is termed as pancreatic cancer. Identification of pancreatic tumors early is significant for enhancing surviva...
Pancreatic Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Algorithms Tomography, X-Ray Computed
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Deep learning based rapid X-ray fluorescence signal extraction and image reconstruction for preclinical benchtop X-ray fluorescence computed tomography applications.

Scientific reports Jun 4, 2025
Recent research advances have resulted in an experimental benchtop X-ray fluorescence computed tomography (XFCT) system that likely meets the imaging dose/scan time constraints for benchtop XFCT imaging of live mice injected with gold nanoparticles (...
Phantoms, Imaging Neural Networks, Computer Tomography, X-Ray Computed Mice Animals Deep Learning Gold Image Processing, Computer-Assisted Metal Nanoparticles
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Digital removal of dermal denticle layer using geometric AI from 3D CT scans of shark craniofacial structures enhances anatomical precision.

Scientific reports Jun 4, 2025
Craniofacial morphometrics in sharks provide crucial insights into evolutionary history, geographical variation, sexual dimorphism, and developmental patterns. However, the fragile cartilaginous nature of shark craniofacial skeleton poses significant...
Female Animals Male Imaging, Three-Dimensional Image Processing, Computer-Assisted Software Algorithms Skull Tomography, X-Ray Computed Artificial Intelligence Sharks
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Developing a CT radiomics-based model for assessing split renal function using machine learning.

Japanese journal of radiology Jun 3, 2025
PURPOSE: This study aims to investigate whether non-contrast computed tomography radiomics can effectively reflect split renal function and to develop a radiomics model for its assessment.
Aged Adult Radiomics Tomography, X-Ray Computed Female Renal Insufficiency, Chronic Glomerular Filtration Rate Humans Kidney Function Tests Machine Learning Male Retrospective Studies Middle Aged Kidney
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Gradient-driven pixel connectivity convolutional neural networks classification based on U-Net lung nodule segmentation.

Medical engineering & physics Jun 3, 2025
Lung cancer is a significant global health issue, heavily burdening healthcare systems. Early detection is crucial for improving patient outcomes. This study proposes a diagnostic aid system for the early detection and classification of lung nodules ...
Image Processing, Computer-Assisted Lung Neoplasms Deep Learning Convolutional Neural Networks Humans Neural Networks, Computer Tomography, X-Ray Computed Lung
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Radiomics and deep learning characterisation of liver malignancies in CT images - A systematic review.

Computers in biology and medicine Jun 3, 2025
BACKGROUND: Computed tomography (CT) has been widely used as an effective tool for liver imaging due to its high spatial resolution, and ability to differentiate tissue densities, which contributing to comprehensive image analysis. Recent advancement...
Humans Deep Learning Liver Neoplasms Image Processing, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed Radiomics
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FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Scientific reports Jun 3, 2025
Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung cancer, particularly adenocarcinoma, is one of the deadliest forms and severely impacts human life. Early diagnosis and appropriate treatment significantl...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Humans Neural Networks, Computer Algorithms
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Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging.

AJNR. American journal of neuroradiology Jun 3, 2025
BACKGROUND AND PURPOSE: Ultra-high-resolution (UHR) photon-counting-detector (PCD) CT improves image resolution but increases noise, necessitating the use of smoother reconstruction kernels that reduce resolution below the 0.125-mm maximum spatial re...
Temporal Bone Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Photons Tomography, X-Ray Computed Convolutional Neural Networks Humans Neural Networks, Computer
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SASWISE-UE: Segmentation and synthesis with interpretable scalable ensembles for uncertainty estimation.

Computers in biology and medicine Jun 2, 2025
This paper introduces an efficient sub-model ensemble framework aimed at enhancing the interpretability of medical deep learning models, thus increasing their clinical applicability. By generating uncertainty maps, this framework enables end-users to...
Magnetic Resonance Imaging Uncertainty Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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