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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 451–475 of 1207 papers

TitleStatusHype
Direct high-order edge-preserving regularization for tomographic image reconstruction—0
Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom—0
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules—0
Display Field-Of-View Agnostic Robust CT Kernel Synthesis Using Model-Based Deep Learning—0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians—0
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury—0
Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction—0
Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration—0
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection—0
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT—0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features—0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—0
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening—0
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance—0
Automated detection of underdiagnosed medical conditions via opportunistic imaging—0
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Detecting Electric Devices in 3D Images of Bags—0
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization—0
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data—0
Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application—0
Dual-branch residual network for lung nodule segmentation—0
Design of Novel Loss Functions for Deep Learning in X-ray CT—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction—0
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis—0
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