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Pathological Classification of Pulmonary Nodules in Images Using Deep Learning

NCT05221814 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2022-02-03

No results posted yet for this study

Summary

This study aimed to develop a deep-learning model to automatically classify pulmonary nodules based on white-light images and to evaluate the model performance. Besides, suitable operation could be chosen with the help of this model, which could shorten the time of surgery.

Conditions

Interventions

DIAGNOSTIC_TEST

gross pathologic photo based deep learning model

Whether apply gross pathologic photo based deep learning model to predict pathologic subtype

Sponsors & Collaborators

  • Guangdong Provincial People's Hospital

    collaborator OTHER

  • Jiangxi Provincial Cancer Hospital

    lead OTHER

Principal Investigators

  • Haiyu Zhou · Guangdong Provincial People's Hospital

Eligibility

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

Timeline & Regulatory

Start
2020-06-01
Primary Completion
2022-06-01
Completion
2023-01-01
FDA Drug
Yes

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 NCT05221814 on ClinicalTrials.gov