Spots Global Cancer Trial Database for Whole Slide Image for Predicting the Novel Grading System of Resected Lung Adenocarcinoma
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Trial Identification
Brief Title: Whole Slide Image for Predicting the Novel Grading System of Resected Lung Adenocarcinoma
Official Title: Deep Learning Signature Based on Whole Slide Images for Predicting the Novel Grading System of Resected Lung Adenocarcinoma
Study ID: NCT05925764
Interventions
Study Description
Brief Summary: The purpose of this study is to evaluate the performance of a whole slide image based deep learning signature for predicting the novel grading system in resected lung adenocarcinoma based on a multicenter prospective cohort.
Detailed Description:
Keywords
Eligibility
Minimum Age: 20 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Locations
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
Contact Details
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