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Computer Aided Diagnostic Tool on Computed Tomography Images for Diagnosis of Retroperitoneal Tumor in Children

NCT05179850 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2022-01-20

No results posted yet for this study

Summary

The aim of this study was to evaluate the diagnostic efficacy of computer aided diagnostic tool for retroperitoneal tumor using machine learning and deep learning techniques on computed tomography images in children.

Conditions

Interventions

DIAGNOSTIC_TEST

Radiomic Algorithm

Different radiomic, machine learning, and deep learning strategies for radiomic features extraction, sorting features and model constriction.

Sponsors & Collaborators

  • West China Hospital

    lead OTHER

Eligibility

Min Age
0 Years
Max Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2023-12-31
Completion
2023-12-31

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05179850 on ClinicalTrials.gov