Multi-modality Brain Tumor Segmentation of MRI Images Using ResUnet with Attention Mechanism
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5088-1_16
Reference41 articles.
1. Babu KR, Indira ND, Prasad KV, Shameem S (2021) An effective brain tumor detection from t1w MR images using active contour segmentation techniques. J Phys Conf Ser 1804(1):012, 174. https://doi.org/10.1088/1742-6596/1804/1/012174
2. Rao N, Reddy DLS, Gujja H (2022) Brain MRI segmentation binary u-net based architecture using deep learning algorithm. https://doi.org/10.21203/rs.3.rs-1916275/v1
3. Ottom MA, Rahman HA, Dinov ID (2022) Znet: deep learning approach for 2d MRI brain tumor segmentation. IEEE J Transl Eng Health Med 10:1–8. https://doi.org/10.1109/jtehm.2022.3176737
4. Zhang F, Wu L, Wang Y, Yang Y, Li M, Li J, Xu Y (2022) A multi-scale brain tumor segmentation method based on u-net network. J Phys Conf Ser 2289(1):012, 028. https://doi.org/10.1088/1742-6596/2289/1/012028
5. Kajal M, Mittal A (2022) A modified u-net based architecture for brain tumour segmentation on BRATS 2020. https://doi.org/10.21203/rs.3.rs-2109641/v1
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