SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–475 of 1207 papers

TitleStatusHype
Direct high-order edge-preserving regularization for tomographic image reconstruction—0
Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom—0
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules—0
Display Field-Of-View Agnostic Robust CT Kernel Synthesis Using Model-Based Deep Learning—0
Distant Domain Transfer Learning for Medical Imaging—0
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury—0
Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction—0
Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration—0
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection—0
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT—0
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans—0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—0
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT—0
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19—0
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
A combined Machine Learning and Finite Element Modelling tool for the surgical planning of craniosynostosis correction—0
DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction—0
Dual-branch residual network for lung nodule segmentation—0
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms—0
COVID-CLNet: COVID-19 Detection with Compressive Deep Learning Approaches—0
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction—0
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images—0
Show:102550
← PrevPage 19 of 49Next →

No leaderboard results yet.