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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 451–475 of 1207 papers

TitleStatusHype
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imagingCode0
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection—0
ParticleSeg3D: A Scalable Out-of-the-Box Deep Learning Segmentation Solution for Individual Particle Characterization from Micro CT Images in Mineral Processing and RecyclingCode1
Classification of Brain Hemorrhage Using Deep Learning from CT Scan ImagesCode0
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
Simulation toolkit for digital material characterization of large image-based microstructuresCode0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
Graph-based compensated wavelet lifting for 3-D+t medical CT data—0
Improving mesh-based motion compensation by using edge adaptive graph-based compensated wavelet lifting for medical data sets—0
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data—0
Integrating features from lymph node stations for metastatic lymph node detection—0
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation dataset—0
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology ImagesCode0
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans—0
Orientation-Shared Convolution Representation for CT Metal Artifact LearningCode1
Kidney and Kidney Tumour Segmentation in CT Images—0
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT ImagesCode1
2D/3D Deep Image Registration by Learning 3D Displacement Fields for Abdominal Organs—0
Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm—0
One Sample Diffusion Model in Projection Domain for Low-Dose CT ImagingCode1
Gradient-Based Geometry Learning for Fan-Beam CT ReconstructionCode1
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query EmbeddingCode1
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-TrainingCode0
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine LearningCode0
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CTCode0
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