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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 251–275 of 1207 papers

TitleStatusHype
Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction—0
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
Annotation-Efficient Task Guidance for Medical Segment AnythingCode0
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Novel 3D Binary Indexed Tree for Volume Computation of 3D Reconstructed Models from Volumetric Data—0
Closed-Form Approximation of the Total Variation Proximal Operator—0
MozzaVID: Mozzarella Volumetric Image Dataset—0
Fan-Beam CT Reconstruction for Unaligned Sparse-View X-ray Baggage Dataset—0
U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities—0
ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction—0
Deep Guess acceleration for explainable image reconstruction in sparse-view CTCode0
Towards Clinical Practice in CT-Based Pulmonary Disease Screening: An Efficient and Reliable Framework—0
TSUBF-Net: Trans-Spatial UNet-like Network with Bi-direction Fusion for Segmentation of Adenoid Hypertrophy in CT—0
Self-Supervised Denoiser Framework—0
Demographic Predictability in 3D CT Foundation EmbeddingsCode0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation—0
S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation—0
Explainable Artificial Intelligence for Medical Applications: A Review—0
DuoLift-GAN:Reconstructing CT from Single-view and Biplanar X-Rays with Generative Adversarial Networks—0
DINO-LG: A Task-Specific DINO Model for Coronary Calcium Scoring—0
TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography—0
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapyCode0
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