Advancing Brain Tumor Segmentation via Attention-Based 3D U-Net Architecture and Digital Image Processing
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49333-1_18
Reference17 articles.
1. Cancer.Net. Brain tumor: Statistics. Accessed February 2023
2. Saleh, A., Sukaik, R., Abu-Naser, S.S.: Brain tumor classification using deep learning. In: 2020 International Conference on Assistive and Rehabilitation Technologies (iCareTech) (2020)
3. Alqazzaz, S., Sun, X., Yang, X., Nokes, L.: Automated brain tumor segmentation on multi-modal MR image using SegNet. Comput. Visual Media 5(2), 209–219 (2019)
4. Hollon, T.C., et al.: Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks. Nat. Med. 26(1), 52–58 (2020)
5. Lecture Notes in Computer Science;O Ronneberger,2015
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