Semantic segmentation of brain tumor images using attention-based residual light u-net model
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19224-6.pdf
Reference45 articles.
1. Anitha V, Murugavalli S (2016) Brain tumour classification using two-tier classifier with adaptive segmentation technique. IET Computer Vision 10(1):9–17. [Online]. Available: https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/iet-cvi.2014.0193
2. Magadza T, Viriri S (2021) Deep learning for brain tumor segmentation: A survey of state-of-the-art. J Imaging 7(2). [Online]. Available: https://www.mdpi.com/2313-433X/7/2/19
3. A. Işın, Direkoğlu C, Şah M (2016) Review of mri-based brain tumor image segmentation using deep learning methods. In: Procedia computer science, vol. 102, pp. 317–324, 2016, 12th international conference on application of fuzzy systems and soft computing, ICAFS 2016, 29-30 August 2016, Vienna, Austria. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S187705091632587X
4. Mazzara GP, Velthuizen RP, Pearlman JL, Greenberg HM, Wagner H (2004) Brain tumor target volume determination for radiation treatment planning through automated mri segmentation. Int J Radiation Oncol*Biology*Phys 59(1):300–312. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0360301604001294
5. Menze BH et al (2015) The multimodal brain tumor image segmentation benchmark (brats). IEEE Trans Med Imaging 34(10):1993–2024
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