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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 901–925 of 1207 papers

TitleStatusHype
Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms—0
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans—0
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising—0
MAR-DTN: Metal Artifact Reduction using Domain Transformation Network for Radiotherapy Planning—0
Marker Track: Accurate Fiducial Marker Tracking for Evaluation of Residual Motions During Breath-Hold Radiotherapy—0
Mediastinal Lymph Node Detection and Segmentation Using Deep Learning—0
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes—0
Medical Image Segmentation with SAM-generated Annotations—0
Medical Image Synthesis with Context-Aware Generative Adversarial Networks—0
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review—0
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning—0
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis—0
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction—0
Metal Artifact Reduction in Cone-Beam X-Ray CT via Ray Profile Correction—0
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis—0
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction—0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction—0
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference—0
Mixing-AdaSIN: Constructing a De-biased Dataset using Adaptive Structural Instance Normalization and Texture Mixing—0
Model-based Reconstruction for Enhanced X-ray CT of Tri-structural Isotropic (TRISO) Particles—0
Model-driven CT reconstruction algorithm for nano-resolution X-ray phase contrast imaging—0
Modern Convex Optimization to Medical Image Analysis—0
Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery—0
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