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Cited by in F6Publishing
For: Hayashi K, Ono Y, Takamatsu M, Oba A, Ito H, Sato T, Inoue Y, Saiura A, Takahashi Y. Prediction of Recurrence Pattern of Pancreatic Cancer Post-Pancreatic Surgery Using Histology-Based Supervised Machine Learning Algorithms: A Single-Center Retrospective Study. Ann Surg Oncol 2022. [PMID: 35230581 DOI: 10.1245/s10434-022-11471-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Wan G, Nguyen N, Liu F, DeSimone MS, Leung BW, Rajeh A, Collier MR, Choi MS, Amadife M, Tang K, Zhang S, Phillipps JS, Jairath R, Alexander NA, Hua Y, Jiao M, Chen W, Ho D, Duey S, Németh IB, Marko-Varga G, Valdés JG, Liu D, Boland GM, Gusev A, Sorger PK, Yu KH, Semenov YR. Prediction of early-stage melanoma recurrence using clinical and histopathologic features. NPJ Precis Oncol 2022;6:79. [PMID: 36316482 DOI: 10.1038/s41698-022-00321-4] [Reference Citation Analysis]
2 Hayashi K, Ono Y, Ito H, Takamatsu M, Takahashi Y. ASO Author Reflections: Histology-Based Supervised Machine Learning Model Can Predict Recurrence Pattern of Pancreatic Cancer. Ann Surg Oncol. [DOI: 10.1245/s10434-022-11540-1] [Reference Citation Analysis]