Considerations on current and future issues related to reproducibility and accuracy in prostate cancer grading
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Molecular Biology,General Medicine,Pathology and Forensic Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00428-020-02913-6.pdf
Reference10 articles.
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2. van Leenders GJLH, van der Kwast TH, Grignon DJ, Andrew AJ, Kristiansen G, Kweldam CF et al (2020) The 2019 International Society of Urological Pathology (ISUP) consensus conference on grading of prostatic carcinoma. Am J Surg Pathol 44(8):e87–e99
3. Epstein JI, Amin MB, Fine SW, Algaba F, Aron M, Baydar DE, Beltran AL, Brimo F, Cheville JC, Colecchia M, Comperat E, da Cunha IW, Delprado W, DeMarzo AM, Giannico GA, Gordetsky JB, Guo CC, Hansel DE, Hirsch MS, Huang J, Humphrey PA, Jimenez RE, Khani F, Kong Q, Kryvenko ON, Kunju LP, Lal P, Latour M, Lotan T, Maclean F, Magi-Galluzzi C, Mehra R, Menon S, Miyamoto H, Montironi R, Netto GJ, Nguyen JK, Osunkoya AO, Parwani A, Robinson BD, Rubin MA, Shah RB, So JS, Takahashi H, Tavora F, Tretiakova MS, True L, Wobker SE, Yang XJ, Zhou M, Zynger DL, Trpkov K (2020) The 2019 Genitourinary Pathology Society (GUPS) white paper on contemporary grading of prostate cancer. Arch Pathol Lab Med. https://doi.org/10.5858/arpa.2020-0015-RA
4. Chung MS, Cho NH, Kim J, Jo Y, Yoon BI, Lee SH (2020) Predicting insignificant prostate cancer: analysis of the pathological outcomes of candidates for active surveillance according to the Pre-International Society of Urological Pathology (Pre-ISUP) 2014 era versus the post-ISUP2014 era. World J Mens Health. https://doi.org/10.5534/wjmh.200037
5. Nagpal K, Foote D, Liu Y, Chen PC, Wulczyn E, Tane F, al. (2019) Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. NPJ Digit Med 2:48
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1. Digital diagnostics and artificial intelligence in prostate cancer treatment in 5 years from now;Translational Andrology and Urology;2021-03
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