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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 301–325 of 1207 papers

TitleStatusHype
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images—0
MD-IQA: Learning Multi-scale Distributed Image Quality Assessment with Semi Supervised Learning for Low Dose CTCode0
UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields—0
Single-shot Tomography of Discrete Dynamic ObjectsCode0
Interpretable Geoscience Artificial Intelligence (XGeoS-AI): Application to Demystify Image Recognition—0
INeAT: Iterative Neural Adaptive Tomography—0
Enhanced Synthetic MRI Generation from CT Scans Using CycleGAN with Feature Extraction—0
Low-Dose CT Image Enhancement Using Deep Learning—0
Parameter-Efficient Methods for Metastases Detection from Clinical Notes—0
AutoCT: Automated CT registration, segmentation, and quantification—0
Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images—0
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN samplerCode0
Deep Learning Models for Classification of COVID-19 Cases by Medical Images—0
Synthetic Data as Validation—0
AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons—0
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentationCode0
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT—0
High Accuracy and Cost-Saving Active Learning 3D WD-UNet for Airway Segmentation—0
Latent Diffusion Model for Medical Image Standardization and Enhancement—0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction—0
Swin-Tempo: Temporal-Aware Lung Nodule Detection in CT Scans as Video Sequences Using Swin Transformer-Enhanced UNet—0
Graph data modelling for outcome prediction in oropharyngeal cancer patients—0
Synthetic CT Generation via Variant Invertible Network for All-digital Brain PET Attenuation CorrectionCode0
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