AIMC Topic: Deep Learning

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Deep learning algorithm (YOLOv7) for automated renal mass detection on contrast-enhanced MRI: a 2D and 2.5D evaluation of results.

Abdominal radiology (New York) Feb 17, 2024
INTRODUCTION: Accurate diagnosis and treatment of kidney tumors greatly benefit from automated solutions for detection and classification on MRI. In this study, we explore the application of a deep learning algorithm, YOLOv7, for detecting kidney tum...
Humans Algorithms Deep Learning Magnetic Resonance Imaging Random Allocation Kidney Neoplasms Carcinoma, Renal Cell
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An integrated deep-learning model for smart waste classification.

Environmental monitoring and assessment Feb 17, 2024
Efficient waste management is essential for human well-being and environmental health, as neglecting proper disposal practices can lead to financial losses and the depletion of natural resources. Given the rapid urbanization and population growth, de...
Population Growth Environmental Health Natural Resources Deep Learning Environmental Monitoring Humans
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Responds to the Comments on "A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Feb 16, 2024
Humans Female Breast Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Breast Neoplasms Deep Learning Image Processing, Computer-Assisted
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Automated Patient Registration in Magnetic Resonance Imaging Using Deep Learning-Based Height and Weight Estimation with 3D Camera: A Feasibility Study.

Academic radiology Feb 16, 2024
RATIONALE AND OBJECTIVES: Accurate and efficient estimation of patient height and weight is crucial to ensure patient safety and optimize the quality of magnetic resonance imaging (MRI) procedures. Several height and weight estimation methods have be...
Deep Learning Humans Adult Imaging, Three-Dimensional Algorithms Female Magnetic Resonance Imaging Retrospective Studies Male Feasibility Studies Aged Middle Aged Body Weight Body Height
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Ultra-high-resolution CT of the temporal bone: Comparison between deep learning reconstruction and hybrid and model-based iterative reconstruction.

Diagnostic and interventional imaging Feb 16, 2024
PURPOSE: The purpose of this study was to evaluate the ability of ultra-high-resolution computed tomography (UHR-CT) to assess stapes and chorda tympani nerve anatomy using a deep learning (DLR), a model-based, and a hybrid iterative reconstruction a...
Temporal Bone Stapes Chorda Tympani Nerve Humans Deep Learning Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Phantoms, Imaging
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Deep Learning for Automated Detection and Localization of Traumatic Abdominal Solid Organ Injuries on CT Scans.

Journal of imaging informatics in medicine Feb 16, 2024
Computed tomography (CT) is the most commonly used diagnostic modality for blunt abdominal trauma (BAT), significantly influencing management approaches. Deep learning models (DLMs) have shown great promise in enhancing various aspects of clinical pr...
Tomography, X-Ray Computed Female Aged Humans Retrospective Studies Wounds, Nonpenetrating ROC Curve Kidney Liver Spleen Abdominal Injuries Male Middle Aged Deep Learning Adult Sensitivity and Specificity
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Patient Re-Identification Based on Deep Metric Learning in Trunk Computed Tomography Images Acquired from Devices from Different Vendors.

Journal of imaging informatics in medicine Feb 16, 2024
During radiologic interpretation, radiologists read patient identifiers from the metadata of medical images to recognize the patient being examined. However, it is challenging for radiologists to identify "incorrect" metadata and patient identificati...
Torso Tomography, X-Ray Computed Deep Learning Metadata Humans
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Graph Neural Network contextual embedding for Deep Learning on tabular data.

Neural networks : the official journal of the International Neural Network Society Feb 16, 2024
All industries are trying to leverage Artificial Intelligence (AI) based on their existing big data which is available in so called tabular form, where each record is composed of a number of heterogeneous continuous and categorical columns also known...
Benchmarking Artificial Intelligence Humans Deep Learning Neural Networks, Computer Big Data
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Performance evaluation of three versions of a convolutional neural network for object detection and segmentation using a multiclass and reduced panoramic radiograph dataset.

Journal of dentistry Feb 16, 2024
OBJECTIVES: To evaluate the diagnostic performance of three versions of a deep-learning convolutional neural network in terms of object detection and segmentation using a multiclass panoramic radiograph dataset.
Radiography, Panoramic Mandibular Nerve Dental Implants Tooth Maxilla Deep Learning Mandible Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Using deep learning-based denoising and iterative reconstruction to reduce radiation exposure - How low can we go?

European journal of radiology Feb 16, 2024
Radiation Exposure Humans Algorithms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Deep Learning Radiation Dosage Image Processing, Computer-Assisted
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