[1] 曲卫华, 颜志军. 环境污染、经济增长与医疗卫生服务对公共健康的影响分析——基于中国省际面板数据的研究[J]. 中国管理科学, 2015, 23(7):166-176. [2] Torre L A, Siegel R L, Ward E M, et al. Global cancer incidence and mortality rates and trends-An update.[J]. Cancer Epidemiol Biomarkers Prev,2016,25(1):16-27. [3] Rodríguez-Camacho E, Pita-Fernández S, Pértega-Díaz S, et al. Clinical-pathological characteristics and prognosis of a cohort of oesophageal cancer patients:A competing risks survival analysis[J]. Journal of Epidemiology, 2015, 25(3):231-8. [4] Menon S, Trudgill N. How commonly is upper gastrointestinal cancer missed at endoscopy? A meta-analysis[J]. EIO, 2014, 2(2):46-50. [5] Wang Hao, Ding Shuai, Wu Desheng, et al. Smart connected electronic gastroscope system for gastric cancer screening using multi-column convolutional neural networks[J]. International Journal of Production Research, 2018:1-12. [6] Kang L N, Qiao R L. Cancer screening and prevention in China[J]. Cancer Control, 2014, 8:131-133. [7] 梁昌勇, 顾东晓, 范昕,等. 面向不确定多属性决策问题的范例检索算法研究[J]. 中国管理科学, 2009, 17(1):131-137. [8] 孔繁辉, 李健. 供应中断风险下OEM供应链弹性运作与提升策略[J]. 中国管理科学, 2018, 26(2):152-159. [9] Bourouis A, Feham M, Hossain M A, et al. An intelligent mobile based decision support system for retinal disease diagnosis[J]. Decision Support Systems, 2014, 59:341-350. [10] 王智杰, 高杰, 孟茜茜,等. 基于深度学习的人工智能技术在早期胃癌诊断中的应用[J]. 中华消化内镜杂志, 2018, 35(8):42-46. [11] van der Sommen F, Zinger S, Curvers W L, et al. Computer-aided detection of early neoplastic lesions in Barrett's esophagus[J]. Endoscopy, 2016, 48(7):617-624. [12] Hirasawa T, Aoyama K, Tanimoto T, et al. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images[J]. Gastric Cancer, 2018, 21(4):653-660. [13] Goodfellow I, Pouget-Abadie J, Mirza M, et al. Generative adversarial nets[C]//Advances in neural information processing systems,December 8-13, Montréal, 2014:2672-2680. [14] Wang Yan, Yu Biting, Wang Lei, et al. 3D conditional generative adversarial networks for high-quality PET image estimation at low dose[J]. NeuroImage, 2018, 174:550-562. [15] Shinde S, Kothari A, Gupta V. YOLO based human action recognition and localization[J]. Procedia computer science, 2018, 133:831-838. |