Hybrid Approach for COVID-19 Segmentation: Integrating ResNet-Darknet19 Based Transfer Learning with Radiomics Features
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64813-7_47
Reference20 articles.
1. COVID-QU-Ex Dataset. Consulté le: 18 octobre 2023. [En ligne]. Disponible sur: https://www.kaggle.com/datasets/anasmohammedtahir/covidqu
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3. Zhang, Y., Liao, Q., Yuan, L., Zhu, H., Xing, J., Zhang, J.: Exploiting shared knowledge from non-COVID lesions for annotation-efficient COVID-19 CT lung infection segmentation. IEEE J. Biomed. Health Inform. 25(11), 4152–4162 (2021). https://doi.org/10.1109/JBHI.2021.3106341
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5. Amyar, A., Modzelewski, R., Li, H., Ruan, S.: Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: classification and segmentation. Comput. Biol. Med. 126, 104037 (2020). https://doi.org/10.1016/j.compbiomed.2020.104037
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