Journal of Biomedical Science and Engineering

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org
"A Deep Learning Interpretable Model for Novel Coronavirus Disease (COVID-19) Screening with Chest CT Images"
written by Eri Matsuyama,
published by Journal of Biomedical Science and Engineering, Vol.13 No.7, 2020
has been cited by the following article(s):
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[7] Covid-19 Recognition by Chest CT and Deep Learning
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[9] Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning
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[10] Global and local interpretation of black-box machine learning models to determine prognostic factors from early COVID-19 data
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[11] Interpretable machine learning for covid-19: an empirical study on severity prediction task
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[12] Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan
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[13] ROI extraction in CT lung images of COVID-19 using Fast Fuzzy C means clustering
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[14] COVID‐19 Diagnosis on CT Scan Images Using a Generative Adversarial Network and Concatenated Feature Pyramid Network with an Attention Mechanism
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[15] A Summary of the Homogeneous 5D Universe Creation Model: Expressed in the Dirac Second-Order Quantization Representation
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[16] Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies
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[17] Do not repeat these mistakes--a critical appraisal of applications of explainable artificial intelligence for image based COVID-19 detection
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[18] Is AI Model Interpretable to Combat with COVID? An Empirical Study on Severity Prediction Task
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