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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 976–1000 of 1207 papers

TitleStatusHype
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
On the impact of incorporating task-information in learning-based image denoising—0
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks—0
On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation—0
Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study—0
Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration—0
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems—0
Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging—0
Optimizing CT Scan Geometries With and Without Gradients—0
Organ At Risk Segmentation with Multiple Modality—0
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN—0
OrthoDoc: Multimodal Large Language Model for Assisting Diagnosis in Computed Tomography—0
Outlier Guided Optimization of Abdominal Segmentation—0
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control—0
Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning—0
Parameter-Efficient Methods for Metastases Detection from Clinical Notes—0
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction—0
Patch-based field-of-view matching in multi-modal images for electroporation-based ablations—0
PatchFCN for Intracranial Hemorrhage Detection—0
PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks—0
PELE scores: Pelvic X-ray Landmark Detection by Pelvis Extraction and Enhancement—0
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation—0
Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning and Random Sampling—0
PhD Thesis. Computer-Aided Assessment of Tuberculosis with Radiological Imaging: From rule-based methods to Deep Learning—0
PHT-bot: Deep-Learning based system for automatic risk stratification of COPD patients based upon signs of Pulmonary Hypertension—0
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