1. Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C., Jodoin., P.M., Larochelle, H.: Brain tumor segmentation with deep neural networks. Med. Image Anal. 35, 18–31 (2017)
2. Li, C., Xu, C., Gui, C., Fox, M.D.: Level set evolution without re-initialization: a new variational formulation. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 430–436 (2005)
3. Wang, X., Li, S., Li, J., Wang, J., Zhang, M.: A novel segmentation model with dual level set function based on Chan-vese and local binary fitting models. In: 2016 3rd International Conference on Systems and Informatics (ICSAI), pp. 837–842 (2016)
4. Wang, H., Li, L.C., Wei, X., Liu, W., Wang, Y., Liang, Z.: A new framework for detection of initial flat polyp candidates based on a dual level set competition model. In: Medical Imaging: Computer Aided Diagnosis (2017)
5. Chakraborty, R., Sushil, R., Garg, M.L.: An improved PSO-based multilevel image segmentation technique using minimum cross-entropy thresholding. Arabian J. Sci. Eng. 44(4), 3005–3020 (2019)