Author:
Aswiga R. V.,Aishwarya R.,Shanthi A. P.
Publisher
Springer Science and Business Media LLC
Reference37 articles.
1. Al Sadeque Z, Khan TI, Hossain QD, Turaba MY (2019) Automated detection and classification of liver cancer from CT images using HOG-SVM model. In: Conference on proceeding of the 5th international conference on advances in electrical engineering (ICAEE), Dhaka, Bangladesh, pp 21–26
2. Alahmera H, Ahmed A (2016) Computer-aided classification of liver lesions from CT images based on multiple ROI. Proc Comput Sci 90:80–86
3. Bai Z, Jiang H, Li S, Yao Y-D (2019) Liver tumor segmentation based on multi-scale candidate generation and fractal residual network. IEEE Access 7:82122–82133
4. Ben-Cohen A, Mechrez R, Yedidia N, Greenspan H (2018) Improving CNN training using disentanglement for liver lesion classification in CT. Computer Vision and Pattern Recognition, arXiv:1811.00501:886-889
5. Bienias LT, Guillamon JR, Nielsen LH, Alstrom TS (2019) Insights into the behavior of multi-task deep neural networks for medical image segmentation. In: Conference on proceedings of the 29th conference MLSP 2019, Pittsburgh, PA, USA
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献