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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
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems—0
Anatomical Data Augmentation For CNN based Pixel-wise Classification—0
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT—0
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray—0
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models—0
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications—0
BeyondCT: A deep learning model for predicting pulmonary function from chest CT scans—0
An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms—0
Adaptive Compressed Tomography Sensing—0
Development of pericardial fat count images using a combination of three different deep-learning models—0
DFS-based fast crack detection—0
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising—0
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review—0
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation—0
Detection and severity classification of COVID-19 in CT images using deep learning—0
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning—0
Detection and Segmentation of Pancreas using Morphological Snakes and Deep Convolutional Neural Networks—0
DiffULD: Diffusive Universal Lesion Detection—0
Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography—0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians—0
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features—0
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays—0
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening—0
Automated detection of underdiagnosed medical conditions via opportunistic imaging—0
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