CheXNet and feature pyramid network: a fusion deep learning architecture for multilabel chest X-Ray clinical diagnoses classification
Author:
Funder
National Taiwan University Hospital
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10554-023-03039-x.pdf
Reference39 articles.
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3. Pham HH, Le TT, Tran DQ, Ngo DT, Nguyen HQ (2021) Interpreting chest X-Rays via CNNs that exploit hierarchical Disease dependencies and uncertainty labels. Neurocomputing 437:186–194. https://doi.org/10.1016/j.neucom.2020.03.127
4. Urinbayev K, Orazbek Y, Nurambek Y, Mirzakhmetov A, Varol HA (2020) End-to-end deep diagnosis of X-Ray images. Proc Annu Int Conf IEEE Eng Med Biol Soc EMBS 2020–July:2182–2185. https://doi.org/10.1109/EMBC44109.2020.9175208
5. Sharma H, Jain JS, Bansal P, Gupta S (2020) Feature extraction and classification of chest X-Ray images using CNN to detect Pneumonia. Proc Conflu 2020–10th Int Conf Cloud Comput Data Sci Eng 227–231. https://doi.org/10.1109/Confluence47617.2020.9057809
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