Status:
UNKNOWN
Pathological Classification of Pulmonary Nodules in Images Using Deep Learning
Lead Sponsor:
Jiangxi Provincial Cancer Hospital
Collaborating Sponsors:
Guangdong Provincial People's Hospital
Conditions:
Lung Cancer
Artificial Intelligence
Eligibility:
All Genders
18-80 years
Brief 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 ch...
Detailed Description
All white-light photographs of pulmonary nodules from phones of pathologically confirmed adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) were re...
Eligibility Criteria
Inclusion
- Male or female，18 years and older.
- Patients haven't undergone any therapy.
- The pulmonary nodules were confirmed AIS, MIA or IAC.
- The sizes of pulmonary nodules were less than 3cm.
- The images were jpg format.
Exclusion
- Suffering from other tumor disease before or at the same time.
- Images with poor quality or low resolution that precluded proper classification.
Key Trial Info
Start Date :
June 1 2020
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
January 1 2023
Estimated Enrollment :
2000 Patients enrolled
Trial Details
Trial ID
NCT05221814
Start Date
June 1 2020
End Date
January 1 2023
Last Update
February 3 2022
Active Locations (2)
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1
Guagndong Provincial People's Hospital
Guangzhou, Guangdong, China, 510000
2
Jiangxi Cancer Hospital
Nanchang, Jiangxi, China, 330000