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Knowledge-based Analysis for Mortality Prediction from CT Images
2019
IEEE journal of biomedical and health informatics
Low-Dose CT (LDCT) can significantly improve the accuracy of lung cancer diagnosis and thus reduce cancer deaths compared to chest X-ray. The lung cancer risk population is also at high risk of other deadly diseases, for instance, cardiovascular diseases. Therefore, predicting the all-cause mortality risks of this population is of great importance. This paper introduces a knowledge-based analytical method using deep convolutional neural network (CNN) for all-cause mortality prediction. The
doi:10.1109/jbhi.2019.2946066
pmid:31603807
pmcid:PMC7007835
fatcat:dvsle422wnblhmblnblifqy3ne