A combined CNN-LSTM and LSTM-QRNN model for prediction of Idiopathic Pulmonary Fibrosis Progression using CT Scans and Clinical Data-Reference-Cited by-同舟云学术

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A combined CNN-LSTM and LSTM-QRNN model for prediction of Idiopathic Pulmonary Fibrosis Progression using CT Scans and Clinical Data

Published:2022-12-20 Issue: Volume: Page:
ISSN:
Container-title:2022 RIVF International Conference on Computing and Communication Technologies (RIVF)
language:
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Author:

Anh Hoa Bui Thi¹,Dinh Toan Tran²,Van Lang Tran³,Le Minh Hung⁴

Affiliation:

1. University of Information Technology,Ho Chi Minh,Vietnam

2. Ho Chi Minh City University of Food Industry,Faculty of Information Technology,Ho Chi Minh,Vietnam

3. Ho Chi Minh City University of Foreign Languages - Information Technology,Ho Chi Minh,Vietnam

4. University of Information Technology,Faculty of Computer Science,Ho Chi Minh,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10013784/10013785/10013925.pdf?arnumber=10013925

Reference28 articles.

1. Pulmonary Fibrosis Progression Prognosis Using Machine Learning

2. Prediction of Pulmonary Fibrosis Progression using CNN and Regression

3. Analysis of Idiopathic Pulmonary Fibrosis through Machine Learning Techniques

4. Efficientnet: Rethinking model scaling for convolutional neural networks;tan;International Conference on Machine Learning,0

5. Long short-term memory;sepp;Neural Computation,1997

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