Recent Methods on Medical Image Inpainting and Multi-task Learning Using Deep Learning Models
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8612-5_32
Reference41 articles.
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3. Kajla, V., Gupta, A., Khatak, A.: Analysis of X-ray images with image processing techniques: a review. In: 4th International Conference on Computing Communication and Automation (ICCCA), pp 1–5. IEEE Press (2018). https://doi.org/10.1109/ccaa.2018.8777693
4. Vadmal, V., Junno, G., Badve, C., Huang, W., Waite, K.A., Barnholtz-Sloan, J.S.: MRI image analysis methods and applications: an algorithmic perspective using brain tumors as an exemplar. Neuro-Oncology Adv. 2(1) (2020). https://doi.org/10.1093/noajnl/vdaa049
5. Rodriguez, J.H., Fraile, F.J.C., Conde, M.J.R., Llorente, P.L.G.: Computer aided detection and diagnosis in medical imaging. In: Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality, pp. 517–524. ACM (2016). https://doi.org/10.1016/j.remnie.2019.12.001
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