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Computed Tomography (CT)

The term “computed tomography”, or CT, refers to a computerized x-ray imaging procedure in which a narrow beam of x-rays is aimed at a patient and quickly rotated around the body, producing signals that are processed by the machine's computer to generate cross-sectional images—or “slices”—of the body.

( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )

Papers

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Showing 426–450 of 1207 papers

TitleStatusHype
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians—0
Detection and Segmentation of Pancreas using Morphological Snakes and Deep Convolutional Neural Networks—0
Detection and severity classification of COVID-19 in CT images using deep learning—0
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation—0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—0
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications—0
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray—0
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT—0
Development of pericardial fat count images using a combination of three different deep-learning models—0
DFS-based fast crack detection—0
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images—0
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review—0
Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images—0
DiffULD: Diffusive Universal Lesion Detection—0
Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography—0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
End-to-End Abnormality Detection in Medical Imaging—0
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans—0
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT—0
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage—0
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