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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 101–125 of 1207 papers

TitleStatusHype
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart DiseaseCode1
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
Integrative Analysis for COVID-19 Patient Outcome PredictionCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
LiftReg: Limited Angle 2D/3D Deformable RegistrationCode1
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and DeblurringCode1
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient NetworkCode1
Low-dose CT Denoising with Language-engaged Dual-space AlignmentCode1
AutoPET Challenge 2023: Sliding Window-based Optimization of U-NetCode1
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-rayCode1
MEDPSeg: Hierarchical polymorphic multitask learning for the segmentation of ground-glass opacities, consolidation, and pulmonary structures on computed tomographyCode1
Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2Code1
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical ImagesCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
Modality-aware Mutual Learning for Multi-modal Medical Image SegmentationCode1
Multimodal fusion of imaging and genomics for lung cancer recurrence predictionCode1
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-ResolutionCode1
Near-Exact Recovery for Tomographic Inverse Problems via Deep LearningCode1
Suppression of Correlated Noise with Similarity-based Unsupervised Deep LearningCode1
Orientation-Shared Convolution Representation for CT Metal Artifact LearningCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
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