Computational Imaging Research Based on Deep Learning

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

1200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-11-01

Study Completion Date

2022-08-15

Brief Summary

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Computational imaging research based on deep learning

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Detailed Description

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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

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Arterial Aneurysm

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Interventions

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Aneurysm diagnosis

Intelligent detection and diagnosis of aneurysm diagnosis by CTA

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. Age: 18-80 years.
2. CT paired imaging data of vessels, including layer-to-layer plain CT and enhanced CT. 2 Time range: January 2010 to December 2021.
3. Scanning sites: CT and CTA of head, neck, chest, abdomen or iliac.

Exclusion Criteria

1. Unpaired CT image .
2. Severe artifact CT image.
3. enhancement CT failure image (failure to capture arterial phase or poor arterial development, insufficient flow of contrast agent, etc.)

Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes