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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 691–700 of 1207 papers

TitleStatusHype
Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks—0
S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation—0
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only—0
Scatter Correction in X-ray CT by Physics-Inspired Deep Learning—0
Scopeformer: n-CNN-ViT Hybrid Model for Intracranial Hemorrhage Classification—0
Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19—0
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency—0
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator—0
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma—0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation—0
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