Analysis of complications after transcatheter arterial chemoembolization based on deep learning

Author:

Xing Mengyan,Ma Zhonghua,Fu Hanfang,Jin Fang,Wang Jing,Hua Yujie,Han Li

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference22 articles.

1. Cai M, Sun X, Wang W et al (2018) Disruption of peroxisome function leads to metabolic stress, mTOR inhibition, and lethality in liver cancer cells. Cancer Lett 225(4):322–330

2. Hsu CY, Liu PH, Ho SY et al (2018) Using nomogram of the Barcelona clinic liver cancer system for treatment selection in patients with stage C hepatocellular carcinoma. BMC Cancer 18(1):289

3. Tamura T, Wada K, Konishi K et al (2018) Coffee, green tea, and caffeine intake and liver cancer risk: a prospective cohort study. Nutr Cancer 70(8):1–7

4. Al-Janabi S, Alkaim AF (2019) A nifty collaborative analysis to predicting a novel tool (DRFLLS) for missing values estimation. Soft Comput 24(1):555–569

5. Yang K, Wang XW, Zhao L et al (2017) Effect of radiofrequency ablation combined with transcatheter arterial chemoembolization on inflammatory factors, oxidative stress response factors and tumor activity factors in patients with primary liver cancer. Cancer Med 23(4):112–116

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