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Leveraging Attention Mechanisms to Enhance EfficientNet for Precise Analysis of Chest CT Images
Accurate and timely analysis of chest CT images is crucial for effectively diagnosing and treating a wide range of respiratory, cardiovascular, and...
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Uretery Stone Detection with CT Scan Image Contrast Analysis
Kidney disease is one of the vital organs that prevent the buildup of waste and control the fluid balance in the body in order to maintain the...
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Kinetic Simulation Analysis of CT Spherical Tube Rotating Anode Rotor System
CT tube has the characteristics of high heat, high vacuum, high voltage, high precision, high speed, and high momentum, which makes the design of the...
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Establishing the Optimal Standard for Preprocessing Head CT Data in Diagnostic Analysis
Acute ischemic stroke (AIS) is a significant cause of mortality and disability in adults. Diagnosis involves patient anamnesis, clinical examination,...
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Multiple Machine Learning Fusion Based Analysis of Fat Composition in CT Images
Intra-abdominal fat is a crucial factor in determining metabolic syndrome and insulin resistance. Therefore, high levels of intra-abdominal fat are...
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An optimized CT-dense agent perfusion and micro-CT imaging protocol for chick embryo developmental stages
Compared to classical techniques of morphological analysis, micro-CT (μ-CT) has become an effective approach allowing rapid screening of...
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Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies
BackgroundComputed tomography (CT) is an imaging modality commonly used for studies of internal body structures and very useful for detailed studies...
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An Empirical Analysis of Lung Cancer Detection and Classification Using CT Images
Lung cancer is the most typical cancer-related cause of mortality in both men and women. According to estimates, this condition affects 1.2 million...
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CT Image Super-Resolution: A Perspective on Tissue-Specific Performance Analysis
The potential of various image super-resolution (SR) techniques has been widely discussed and analyzed for medical imaging. Different body tissue...
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Gray and White Matters Segmentation in Brain CT Images Using Multi-task Learning from Paired CT and MR Images
Computer tomography (CT) has been routinely used for decades in clinical neuroimaging. Compared to Magnetic resonance imaging (MR), CT is more...
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Analysis of High-Resolution CT Images of COVID-19 Patients
This research work is carried out to quantify the COVID-19 disease and to explore whether the quantitative can be used to analyze the survivability...
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Segmentation of Bone Tissue from CT Images
Segmentation of the bone structures in computed tomography (CT) is crucial for research as it plays a substantial role in surgical planning, disease...
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Registration of CT Images of Lung Using Fireworks Algorithm
The acquisition of medical images from various modalities can provide a number of practical challenges that can be addressed through medical image...
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Pattern of Lung Injury in CT/HRCT Using Deep Learning Techniques
Detecting and diagnosing thoraco-pulmonary diseases at an early stage is critical for effective medical intervention. The advent of deep learning has...
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A micro-investigation of unsaturated sand in mini-triaxial compression based on micro-CT image analysis
The mechanical behaviours of unsaturated soils are highly related to the water content and pore water and air distributions. Under the context of...
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A Multifunctional Image Processing Tool for CT Data Standardization
As one of the most commonly used imaging examinations in clinical practice, CT images have been widely sued in computer-aided diagnosis and...
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Particle Segmentation of 3D Silt Images from X-ray µ-CT for Fabric Analysis
Monotonic and cyclic shear testing studies performed over the past two decades at the University of British Columbia (UBC) in Vancouver, Canada, have...
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Case Study #2: Reading/Analyzing CT Scans
As discussed in Chap. 5 , Sect. 5.1, COVIDx CT-3 was selected for the CT scan dataset. It includes...
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A Novel Method of CT Chest Image Segmentation and Analysis for Early Lung Cancer Detection
Lung cancer is one of the most prominent and deadly diseases across the world. However, early detection of this disease has proved very useful in...
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Performance Analysis of Fusion Methods for the Multimodal Fusion of CT/MRI, MRI/PET and PET/CT Brain Images
Multimodal medical image fusion is one of the emerging technologies in the field of biomedical research and disease analysis. Not only it is aiding...