1. Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro C, Corrado G S, Davis A, Dean J, Devin M, Ghemawat S, Goodfellow I, Harp A, Irving G, Isard M, Jia Y, Jozefowicz R, Kaiser L, Kudlur M, Levenberg J, Mane D, Monga R, Moore S, Murray D, Olah C, Schuster M, Shlens J, Steiner B, Sutskever I, Talwar K, Tucker P, Vanhoucke V, Vasudevan V, Viegas F, Vinyals O, Warden P, Wattenberg M, Wicke M, Yu Y, Zhe X (2016) Tensorflow: large-scale machine learning on heterogeneous distributed systems. arXiv preprint
arXiv:1603.04467
2. Arevalo J, Cruz-Roa A, Arias V, Romero E, González FA (2013) An unsupervised feature learning framework for basal cell carcinoma image analysis. Artif Intell Med 64(2):131–145
3. Chang H, Nayak N, Spellman PT, Parvin B (2013) Characterization of tissue histopathology via predictive sparse decomposition and spatial pyramid matching. In: Mori K, Sakuma I, Sato Y, Barillot C, Nava N (eds) Medical image computing and computer-assisted intervention (MICCAI 2013), pp 91–98
4. Chang JTH, Lee YM, Huang RS (2015) The impact of the Cancer Genome Atlas on lung cancer. Transl Res 166(6):568–585
5. Cheng X, Zhang L, Zheng Y (2018) Deep similarity learning for multimodal medical images. Comput Methods Biomech Biomed Eng Imaging Vis 6(3):248–252