A Generative-Discriminative Deep Learning Approach to Classify Radiology Reports based on the Presence of Follow Up Recommendations

被引：0

作者：

Xiao, Pan ^{[1
]}

Yu, Xiaobing ^{[2
]}

Mintz, Aaron ^{[1
]}

Wang, Jieqi ^{[1
]}

Mokkarala, Mahati ^{[1
]}

Narra, Vamsi R. ^{[1
]}

Marcus, Daniel S. ^{[1
]}

Bierhals, Andrew J. ^{[1
]}

Sotiras, Aristeidis ^{[1
,3
]}

机构：

[1] Department of Radiology, Washington University, School of Medicine, St Louis,MO, United States

[2] Department of Computer Science & Engineering, Washington University, St Louis,MO, United States

[3] Institute for Informatics, Washington University, School of Medicine, St Louis,MO, United States

来源：

Progress in Biomedical Optics and Imaging - Proceedings of SPIE | 2023年 / 12469卷

关键词：

D O I：

124690P

中图分类号：

学科分类号：

摘要：

Convolution - Convolutional neural networks - Learning systems - Logistic regression - Losses - Medical imaging - Patient treatment - Radiology - Random forests - Support vector machines

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