Preoperative data-based deep learning model for predicting postoperative survival in pancreatic cancer patients
Woohyung Lee(Ulsan College), Song Cheol Kim(Ulsan College), Ki Byung Song(Ulsan College), Kyongmook Lim(Hyundai Motors (South Korea)), Dae Wook Hwang(Asan Medical Center), Jae Ho Byun(University of Ulsan), Hack‐Jin Lee(Samjin Pharm (South Korea)), Seung Soo Lee(Asan Medical Center), Eunsung Jun(Asan Medical Center), Hyoung Jung Kim(University of Ulsan), Jae Hoon Lee(Ulsan College), Hyo Jung Park(Samsung Medical Center), Namkug Kim(Ulsan College)
Cited by 34
Related Papers
Combined circulating tumor DNA and protein biomarker-based liquid biopsy for the earlier detection of pancreatic cancers
|Proceedings of the National Academy of Sciences|2017|577
A Combination of Molecular Markers and Clinical Features Improve the Classification of Pancreatic Cysts
|Gastroenterology|2015|472
Neoadjuvant FOLFIRINOX in Patients With Borderline Resectable Pancreatic Cancer: A Systematic Review and Patient-Level Meta-Analysis
|JNCI Journal of the National Cancer Institute|2019|299
A 3D-printed local drug delivery patch for pancreatic cancer growth suppression
|Journal of Controlled Release|2016|260