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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 401–450 of 1207 papers

TitleStatusHype
CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation—0
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports—0
Adaptive GLCM sampling for transformer-based COVID-19 detection on CT—0
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans—0
Cadmium Zinc Telluride (CZT) photon counting detector Characterisation for soft tissue imaging—0
An automatic deep learning approach for coronary artery calcium segmentation—0
Bronchoscopic video synchronization for interactive multimodal inspection of bronchial lesions—0
Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis—0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders—0
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals—0
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease—0
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT—0
Boosting Deep Transfer Learning for COVID-19 Classification—0
A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis—0
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT—0
Accelerated Optimization of Implicit Neural Representations for CT Reconstruction—0
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
DiffULD: Diffusive Universal Lesion Detection—0
Block Matching Frame based Material Reconstruction for Spectral CT—0
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm—0
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks—0
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning—0
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems—0
Anatomical Data Augmentation For CNN based Pixel-wise Classification—0
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT—0
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray—0
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models—0
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications—0
BeyondCT: A deep learning model for predicting pulmonary function from chest CT scans—0
An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms—0
Development of pericardial fat count images using a combination of three different deep-learning models—0
DFS-based fast crack detection—0
Adaptive Compressed Tomography Sensing—0
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review—0
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising—0
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation—0
Detection and severity classification of COVID-19 in CT images using deep learning—0
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning—0
Detection and Segmentation of Pancreas using Morphological Snakes and Deep Convolutional Neural Networks—0
Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography—0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians—0
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features—0
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays—0
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening—0
Automated detection of underdiagnosed medical conditions via opportunistic imaging—0
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