Auxiliary diagnosis study of integrated electronic medical record text and CT images

Auxiliary diagnosis study of integrated electronic medical record text and CT images

At present, most of the research in the field of medical-assisted diagnosis is carried out based on image or electronic medical records. Although there is some research foundation, they lack the comprehensive consideration of comprehensive image and text modes. Based on this situation, this article...

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Bibliographic Details
Main Authors: Hang, D. (Author), Kailin, L. (Author), Shi, L. (Author), Yijie, F. (Author), Yuanchuan, D. (Author)
Format: Article
Language:English
Published: De Gruyter Open Ltd 2022
Subjects:
Bi-LSTM model
Classification (of information)
Computed tomographic
Computer aided diagnosis
Computerized tomography
Diagnosis model
Fusion classification
fusion features
Fusion features
Googlenet model
GoogleNet model
Image enhancement
Image fusion
Integrated electronics
Long short-term memory
Medical computing
Medical imaging
Medical record
Medical-assisted diagnose
medical-assisted diagnosis
Multilayer neural networks
Network layers
Text processing
Tomographic images
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