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WSI Based DL for Diagnosing the IASLC Grading System of Lung Adenocarcinoma
Sponsor: Shanghai Pulmonary Hospital, Shanghai, China
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.
Official title: Whole Slide Image Based Deep Learning for Diagnosing the International Association for the Study of Lung Cancer Proposed Grading System of Lung Adenocarcinoma
Key Details
Gender
All
Age Range
18 Years - 85 Years
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2024-10-15
Completion Date
2024-12-31
Last Updated
2024-10-21
Healthy Volunteers
Not specified
Interventions
Whole Slide Image based Deep Learning
Whole Slide Image Based Deep Learning for Diagnosing the IASLC Grading System of Lung Adenocarcinoma
Locations (3)
Affiliated Hospital of Zunyi Medical University
Zunyi, Guizhou, China
The First Affiliated Hospital of Nanchang University
Nanchang, Jiangxi, China
Ningbo HwaMei Hospital
Ningbo, Zhejiang, China