MD-Unet: a deformable network for nasal cavity and paranasal sinus tumor segmentation

Author:

Li Fu-hao,Zhao Xi-meiORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Reference30 articles.

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2. Ma, Q., Yao, X.J., Qian, B.: Diagnostic value of CT tomography combined with CD24 detection in the early sinus carcinoma. CT Theory Appl. 27(4), 537–542 (2018)

3. Rouhi, R., Jafari, M., Kasaei, S., et al.: Benign and malignant breast tumors classification based on region growing and cnn segmentation. Exp. Syst. Appl. 42(3), 990–1002 (2015)

4. Yang, J.F., Qiao, P.R., Li, Y.M., et al.: Review of machine learning classification problems and algorithms research. Stat. Dec. 35(6), 36–40 (2019)

5. Panigrahi, S., Nanda, A., Swarnkar, T.: Deep learning approach for image classification. In: Proceedings of the 2nd International Conference on Data Science and Business Analytics. IEEE Computer Society, 14(2): 97–101 (2018).

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