Driverless artificial intelligence framework for the identification of malignant pleural effusion

Driverless artificial intelligence framework for the identification of malignant pleural effusion

Our study aimed to explore the applicability of deep learning and machine learning techniques to distinguish MPE from BPE. We initially used a retrospective cohort with 726 PE patients to train and test the predictive performances of the driverless artificial intelligence (AI), and then stacked with...

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Bibliographic Details
Main Authors: Yuan Li, Shan Tian, Yajun Huang, Weiguo Dong
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Translational Oncology
Subjects:
Malignant pleural effusion
Differential diagnosis
Artificial intelligence
Machine learning
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523320303880

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http://www.sciencedirect.com/science/article/pii/S1936523320303880

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