Gaggion, N., Mansilla, L., Mosquera, C., Milone, D. H., & Ferrante, E. (2023). Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis. IEEE transactions on medical imaging, 42(2), 546-556. https://doi.org/10.1109/TMI.2022.3224660
Chicago-Zitierstil (17. Ausg.)Gaggion, Nicolas, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, und Enzo Ferrante. "Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis." IEEE Transactions on Medical Imaging 42, no. 2 (2023): 546-556. https://doi.org/10.1109/TMI.2022.3224660.
MLA-Zitierstil (9. Ausg.)Gaggion, Nicolas, et al. "Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis." IEEE Transactions on Medical Imaging, vol. 42, no. 2, 2023, pp. 546-556, https://doi.org/10.1109/TMI.2022.3224660.