Exploring Artificial Intelligence Methods for the Automatic Measurement of a New Biomarker Aiming at Glaucoma Diagnosis
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Publisher
Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-45392-2_30
Reference23 articles.
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2. Azad, R., Asadi-Aghbolaghi, M., Fathy, M., Escalera, S.: Bi-directional ConvLSTM U-Net with Densley connected convolutions. In: Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, pp. 406–415 (2019). https://doi.org/10.1109/ICCVW.2019.00052
3. Beykin, G., Norcia, A.M., Srinivasan, V.J., Dubra, A., Goldberg, J.L.: Discovery and clinical translation of novel glaucoma biomarkers. Progress Retinal Eye Res. 80 (2021). https://doi.org/10.1016/j.preteyeres.2020.100875
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5. Fu, Z., et al.: MPG-Net: multi-prediction guided network for segmentation of retinal layers in OCT images. In: European Signal Processing Conference, pp. 1299–1303, January 2021. https://doi.org/10.23919/Eusipco47968.2020.9287561
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