Evidential Segmentation of 3D PET/CT Images
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-88601-1_16
Reference14 articles.
1. Blanc-Durand, P., Jégou, S., Kanoun, S., et al.: Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network. Eur. J. Nucl. Med. Mol. Imaging 48, 1362–1370 (2020)
2. Denœux, T.: A neural network classifier based on Dempster-Shafer theory. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 30(2), 131–150 (2000)
3. Denœux, T., Dubois, D., Prade, H.: Representations of uncertainty in AI: beyond probability and possibility. In: Marquis, P., Papini, O., Prade, H. (eds.) A Guided Tour of Artificial Intelligence Research, pp. 119–150. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-06164-7_4
4. Hu, H., Decazes, P., Vera, P., Li, H., Ruan, S.: Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy. Int. J. Comput. Assist. Radiol. Surg. 14(10), 1715–1724 (2019). https://doi.org/10.1007/s11548-019-02049-2
5. Ilyas, H., et al.: Defining the optimal method for measuring baseline metabolic tumour volume in diffuse large B cell lymphoma. Eur. J. Nucl. Med. Mol. Imaging 45(7), 1142–1154 (2018)
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