Detection of Liver Tumor Candidates from CT Images Using Deep Convolutional Neural Networks

Author:

Todoroki Yoshihiro,Han Xian-Hua,Iwamoto Yutaro,Lin Lanfen,Hu Hongjie,Chen Yen-Wei

Publisher

Springer International Publishing

Reference11 articles.

1. National Cancer Center, Japan: Center for Cancer Control and Information Services. http://ganjoho.jp/public/statistics/pub/statistics01.html

2. Ramaraju, P.V., et al.: Feature based detection of liver tumor using K-means clustering and classifying using probabilistic neural networks. Int. J. Eng. Comput. Sci. 4, 11910–11915 (2015)

3. Ali, A.H., et al.: Diagnosis of liver tumor from CT images using first order statistical features. Int. J. Eng. Trends Technol. 20, 155–158 (2015)

4. Mala, K., et al.: Neural network based texture analysis of liver tumor from computed tomography images. Int. J. Biomed. Sci. 2, 33–40 (2006)

5. Park, S.-J., et al.: Automatic hepatic tumor segmentation using statistical optimal threshold. In: Computational Science – ICCS 2005, vol. 3514, pp. 934–940. Springer, Heidelberg (2005)

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