UV-Nets: Semantic Deep Learning Architectures for Brain Tumor Segmentation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48573-2_23
Reference15 articles.
1. Pereira, S., Pinto, A., Alves, V., Silva, C.A.: Brain tumor segmentation using convolutional neural networks in MRI images. IEEE Trans. Med. Imaging 35, 1240–1251 (2016)
2. Zhao, X., Wu, Y., Song, G., Li, Z., Fan, Y., Zhang, Y.: Brain tumor segmentation using a fully convolutional neural network withconditional random fields. In International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries;Springer: Cham, Switzerland; pp. 75–87 (2016)
3. Wang, G., Li, W., Ourselin, S., Vercauteren, T.: Automatic brain tumor segmentation using cascaded anisotropic convolutional neural networks. In: International MICCAI Brainlesion Workshop, pp. 178–190. Springer, Cham
4. Aboussaleh, I., Riffi, J., Mahraz, A.M., Tairi, H.: Brain tumor segmentation based on deep learning’s feature representation. J. Imaging 7(12), 269 (2021)
5. Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th International Conference, Munich, Germany, 5–9 Oct 2015, Proceedings, Part III 18, pp. 234–241. Springer International Publishing (2015)
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1. STCPU-Net: advanced U-shaped deep learning architecture based on Swin transformers and capsule neural network for brain tumor segmentation;Neural Computing and Applications;2024-07-30
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