Development and validation of a deep learning model for predicting postoperative survival of patients with gastric cancer

[1] Sung H(2021)Global Cancer statistics 2020: GLOBOCAN estimates of incidence and Mortality Worldwide for 36 cancers in 185 countries Cancer J Clin 71 209-49

[2] Ferlay J(2014)Clinical significance of lymph node metastasis in gastric cancer World J Gastroenterol 20 3967-75

[3] Siegel RL(2019)Different risk factors between early and late cancer recurrences in patients without additional surgery after noncurative endoscopic submucosal dissection for early gastric cancer Gastrointest Endosc 89 950-60

[4] Laversanne M(2019)Prognostic effect of different etiologies in patients with gastric cardia cancer Medicine 98 e18397-502

[5] Soerjomataram I(2020)Gastric cancer prevention strategies: a global perspective J Gastroenterol Hepatol 35 1495-e61

[6] Jemal A(2021)Development and validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer: a Multicenter, Retrospective Study Ann Surg 274 e1153-e65

[7] Deng JY(2021)Deep learning in cancer diagnosis, prognosis and treatment selection Genome Med 13 152-42

[8] Liang H(2021)Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and end results (SEER) database Lancet Digit Health 3 e158-15

[9] Yamada S(2019)Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis Sci Rep 9 5174-e202

[10] Hatta W(2021)Machine and deep learning approaches for cancer drug repurposing Sem Cancer Biol 68 132-e102

[1] Sung H(2021)Global Cancer statistics 2020: GLOBOCAN estimates of incidence and Mortality Worldwide for 36 cancers in 185 countries Cancer J Clin 71 209-49

[2] Ferlay J(2014)Clinical significance of lymph node metastasis in gastric cancer World J Gastroenterol 20 3967-75

[3] Siegel RL(2019)Different risk factors between early and late cancer recurrences in patients without additional surgery after noncurative endoscopic submucosal dissection for early gastric cancer Gastrointest Endosc 89 950-60

[4] Laversanne M(2019)Prognostic effect of different etiologies in patients with gastric cardia cancer Medicine 98 e18397-502

[5] Soerjomataram I(2020)Gastric cancer prevention strategies: a global perspective J Gastroenterol Hepatol 35 1495-e61

[6] Jemal A(2021)Development and validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer: a Multicenter, Retrospective Study Ann Surg 274 e1153-e65

[7] Deng JY(2021)Deep learning in cancer diagnosis, prognosis and treatment selection Genome Med 13 152-42

[8] Liang H(2021)Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and end results (SEER) database Lancet Digit Health 3 e158-15

[9] Yamada S(2019)Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis Sci Rep 9 5174-e202

[10] Hatta W(2021)Machine and deep learning approaches for cancer drug repurposing Sem Cancer Biol 68 132-e102