Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial

Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial

In this study, the long-term mortality in the National Lung Screening Trial (NLST) was investigated using a deep learning-based method. Binary classification of the non-lung-cancer mortality (i.e. cardiovascular and respiratory mortality) was performed using neural network models centered around a 3...

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Bibliographic Details
Main Authors: Alexander, D.C (Author), Aslani, S. (Author), Emberton, M. (Author), Jacob, J. (Author), Lu, Y. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Binary classification
Biological organs
Cardiovascular mortality
Clinical information
Computed tomography
Computerized tomography
CT-scan
deep learning
Deep learning
Diseases
Image segmentation
Learning-based methods
lung
Lung cancer mortality
Neural network model
Patient treatment
saliency map
Saliency map
Smoking history
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