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For: Wessels F, Schmitt M, Krieghoff-Henning E, Jutzi T, Worst TS, Waldbillig F, Neuberger M, Maron RC, Steeg M, Gaiser T, Hekler A, Utikal JS, von Kalle C, Fröhling S, Michel MS, Nuhn P, Brinker TJ. Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer. BJU Int 2021;128:352-60. [PMID: 33706408 DOI: 10.1111/bju.15386] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Dwivedi R, Mehrotra D, Chandra S. Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review. Journal of Oral Biology and Craniofacial Research 2021. [DOI: 10.1016/j.jobcr.2021.11.010] [Reference Citation Analysis]
2 Zhang-yin J, Montravers F, Montagne S, Hennequin C, Renard-penna R. Diagnosis of early biochemical recurrence after radical prostatectomy or radiation therapy in patients with prostate cancer: State of the art. Diagnostic and Interventional Imaging 2022. [DOI: 10.1016/j.diii.2022.02.005] [Reference Citation Analysis]
3 Małkiewicz B, Knura M, Łątkowska M, Kobylański M, Nagi K, Janczak D, Chorbińska J, Krajewski W, Karwacki J, Szydełko T. Patients with Positive Lymph Nodes after Radical Prostatectomy and Pelvic Lymphadenectomy—Do We Know the Proper Way of Management? Cancers 2022;14:2326. [DOI: 10.3390/cancers14092326] [Reference Citation Analysis]
4 Stone L. The dawning of the age of artificial intelligence in urology. Nat Rev Urol 2021;18:322. [PMID: 33859414 DOI: 10.1038/s41585-021-00467-z] [Reference Citation Analysis]
5 Chen Q, Xiao H, Gu Y, Weng Z, Wei L, Li B, Liao B, Li J, Lin J, Hei M, Peng S, Wang W, Kuang M, Chen S. Deep learning for evaluation of microvascular invasion in hepatocellular carcinoma from tumor areas of histology images. Hepatol Int. [DOI: 10.1007/s12072-022-10323-w] [Reference Citation Analysis]