1. Accurate lung segmentation via network-wise training of convolutional networks;S. Hwang,2017
2. Tian Juanxiu, Liu Guocai, Gu Shanshan, et al., Research and challenge of medical image analysis deep learning method, J. Autom., 2018, vol. 44, no. 3, pp. 401–424.
3. LeCun, Y., Bengio, Y., and Hinton, G., Deep learning, Nature, 2015, vol. 521, no. 7553, p. 436.
4. Ma Chao, Liu Yashu, Luo Gongning, et al., 3D MR image segmentation based on cascaded random forest and active contours, J. Autom., 2019, vol. 45, no. 5, pp. 1004–1014.
5. Li Xiangxia, Li Bin, Tian Lianfang, et al., Segmentation of ground glass-type pulmonary nodules based on sparse representation and random walk, J. Autom., 2018, vol. 44, no. 9, pp. 1637–1647.