Whole Slide Image Based Deep Learning for Diagnosing the International Association for the Study of Lung Cancer Proposed Grading System of Lung Adenocarcinoma
Status: Recruiting
Location: See all (3) locations...
Intervention Type: Diagnostic test
Study Type: Observational
SUMMARY
The purpose of this study is to evaluate the performance of a whole slide image based deep learning model for diagnosing the IASLC grading system in resected lung adenocarcinoma based on a multicenter prospective cohort.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 85
View:
• Age ranging from 18-85 years old;
• Pathological confirmation of primary lung adenocarcinoma after surgery;
• Obtained written informed consent.
Locations
Other Locations
China
The First Affiliated Hospital of Nanchang University
RECRUITING
Nanchang
Ningbo HwaMei Hospital
RECRUITING
Ningbo
Affiliated Hospital of Zunyi Medical University
RECRUITING
Zunyi
Time Frame
Start Date: 2024-10-15
Estimated Completion Date: 2024-12-31
Participants
Target number of participants: 200
Related Therapeutic Areas
Sponsors
Leads: Shanghai Pulmonary Hospital, Shanghai, China