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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 1001–1025 of 1207 papers

TitleStatusHype
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features—0
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning—0
BeyondCT: A deep learning model for predicting pulmonary function from chest CT scans—0
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models—0
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems—0
Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm—0
Block Matching Frame based Material Reconstruction for Spectral CT—0
Boosting Deep Transfer Learning for COVID-19 Classification—0
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals—0
Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders—0
Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis—0
Bronchoscopic video synchronization for interactive multimodal inspection of bronchial lesions—0
Cadmium Zinc Telluride (CZT) photon counting detector Characterisation for soft tissue imaging—0
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans—0
CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
Capsules for Biomedical Image Segmentation—0
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers—0
Charting the Path Forward: CT Image Quality Assessment -- An In-Depth Review—0
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images—0
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
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