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Deep Learning Signature Based on Whole Slide Image for Predicting the Novel Grading System In Resected Lung Adenocarcinoma

Whole Slide Image based Deep Learning Signature

Yongxiang Song, Dr

Bentong Yu, Dr

Minglei Yang, Dr

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.

Whole Slide Image for Predicting the Novel Grading System of Resected Lung Adenocarcinoma

Deep Learning Signature Based on Whole Slide Images for Predicting the Novel Grading System of Resected Lung Adenocarcinoma

The specificity of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.

The positive predictive value of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.

The negative predictive value of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.

The accuracy of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.

The area under the receiver operating characteristic curve of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.

The sensitivity of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization
Whole Slide Image for Predicting the Novel Grading System of Resected Lung Adenocarcinoma	NCT05925764	Lung Adenocarci... Whole Slide Ima... Novel Grading S...	Whole Slide Ima...	20 Years - 75 Years	Shanghai Pulmonary Hospital, Shanghai, China
Whole Slide Image for Predicting the Novel Grading System of Resected Lung Adenocarcinoma	NCT05925764	Lung Adenocarci... Whole Slide Ima... Novel Grading S...	Whole Slide Ima...	20 Years - 75 Years	Shanghai Pulmonary Hospital, Shanghai, China
Whole Slide Image for Predicting the Novel Grading System of Resected Lung Adenocarcinoma	NCT05925764	Lung Adenocarci... Whole Slide Ima... Novel Grading S...	Whole Slide Ima...	20 Years - 75 Years	Shanghai Pulmonary Hospital, Shanghai, China

Spots Global Cancer Trial Database for whole slide image based deep learning signature