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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
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy—0
Evaluating Adversarial Robustness of Low dose CT RecoveryCode0
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography—0
ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal NetworkCode0
NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction—0
Learning-based Bone Quality Classification Method for Spinal Metastasis—0
PFCM: Poisson flow consistency models for low-dose CT image denoising—0
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control—0
Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage—0
XProspeCT: CT Volume Generation from Paired X-Rays—0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
Estimating Epistemic and Aleatoric Uncertainty with a Single ModelCode1
3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention—0
MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data—0
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation—0
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems—0
CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation—0
Integer Optimization of CT Trajectories using a Discrete Data Completeness Formulation—0
Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier SeriesCode0
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable RegistrationCode2
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification—0
Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECTCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images—0
Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI—0
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