NCT05471869

Computational Imaging Research Based on Deep Learning

Computational Imaging Using Pixel-level Graph Adversarial Learning

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 1,200 (estimated)
• Sponsor: Chinese PLA General Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Accepted

Summary

Computational imaging research based on deep learning

Detailed description

Based on the current technical challenges, subject development and upgrade of knowledge, to avoid the occurrence of adverse medical accidents, simplify the diagnostic process, artificial intelligence has become the alternative method of choice, by constructing training deep learning model, the CTA as model inputs aneurysm detection and diagnosis to improve diagnosis effectiveness, promote the development of medical technology

Conditions

• Arterial Aneurysm

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Aneurysm diagnosis	Intelligent detection and diagnosis of aneurysm diagnosis by CTA

Timeline

• Start date: 2021-11-01
• Primary completion: 2022-07-30
• Completion: 2022-08-15
• First posted: 2022-07-25
• Last updated: 2022-07-25

Locations

1 site across 1 country: China