A Review of the Detection of Pulmonary Embolism from Computed Tomography Images Using Deep Learning Methods
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6068-0_34
Reference13 articles.
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2. Mohapatra, S., Nayak, J., Mishra, M., Pati, G.K., Naik, B., Swarnkar, T.: Wavelet transform and deep convolutional neural network-based smart healthcare system for gastrointestinal disease detection. Interdisc. Sci. Comput. Life Sci. 13(2), 212–228 (2021)
3. Li, X., Wang, X., Yang, X., Lin, Y., Huang, Z.: Preliminary study on artificial intelligence diagnosis of PE based on computer in-depth study. Ann. Transl. Med. 9(10), 838–838 (2021). https://doi.org/10.21037/atm-21-975
4. Yang, X., et al.: A two-stage convolutional neural network for PE detection from CTPA images. IEEE Access 7, 84849–84857 (2019). https://doi.org/10.1109/ACCESS.2019.2925210
5. Cano-Espinosa, C., Cazorla, M., González, G.: Computer aided detection of PE using multi-slice multi-axial segmentation. Appl. Sci. 10(8), 2945 (2020). https://doi.org/10.3390/app10082945
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