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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
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT ImagesCode0
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End RegistrationCode0
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT ReconstructionCode0
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or NetworkCode0
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentationCode0
ACNN: a Full Resolution DCNN for Medical Image SegmentationCode0
D-Net: Siamese based Network with Mutual Attention for Volume AlignmentCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image SegmentationCode0
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT ImagesCode0
Diagnostic Classification Of Lung Nodules Using 3D Neural NetworksCode0
Detection of Body Packs in Abdominal CT scans Through Artificial IntelligenceCode0
Differentiable probabilistic models of scientific imaging with the Fourier slice theoremCode0
Detecting Lesion Bounding Ellipses With Gaussian Proposal NetworksCode0
Detection-aided liver lesion segmentation using deep learningCode0
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule DetectionCode0
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological OperationsCode0
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic RepairCode0
Deep Regression 2D-3D Ultrasound Registration for Liver Motion Correction in Focal Tumor Thermal AblationCode0
Demographic Predictability in 3D CT Foundation EmbeddingsCode0
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapyCode0
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MRCode0
Computer Aided Detection of Oral Lesions on CT ImagesCode0
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
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