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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 211–220 of 1207 papers

TitleStatusHype
A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT—0
Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approachCode0
Robotic Ultrasound-Guided Femoral Artery Reconstruction of Anatomically-Representative Phantoms—0
Towards Universal Text-driven CT Image SegmentationCode0
Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning—0
X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning—0
TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT ReconstructionCode0
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography—0
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image SegmentationCode0
Display Field-Of-View Agnostic Robust CT Kernel Synthesis Using Model-Based Deep Learning—0
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