Highly accurate and effective deep neural networks in pathological diagnosis of prostate cancer-Reference-Cited by-同舟云学术

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Highly accurate and effective deep neural networks in pathological diagnosis of prostate cancer

Published:2024-02-22 Issue:1 Volume:42 Page:
ISSN:1433-8726
Container-title:World Journal of Urology
language:en
Short-container-title:World J Urol

Author:

Zhang Chengwei,Gao Xiubin,Fan Bo,Guo Suhan,Lyu Xiaoyu,Shi Jiong,Fu Yao,Zhang Qing,Liu Peng,Guo Hongqian

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Postdoctoral Research Foundation of China

Chinesisch-Deutsche Zentrum für Wissenschaftsförderung

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00345-024-04775-y.pdf

Reference26 articles.

1. Siegel RL, Miller KD, Jemal A (2018) Cancer statistics, 2018. CA Cancer J Clin 68(1):7–30. https://doi.org/10.3322/caac.21442

2. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 15:10. https://doi.org/10.3322/caac.21492

3. Rice KR, Furusato B, Chen Y, McLeod DG, Sesterhenn IA, Brassell SA (2009) Clinicopathological behavior of single focus prostate adenocarcinoma. J Urol 182(6):2689–2694. https://doi.org/10.1016/j.juro.2009.08.055

4. Epstein JI, Zelefsky MJ, Sjoberg DD, Nelson JB, Egevad L, Magi-Galluzzi C et al (2016) A contemporary prostate cancer grading system: a validated alternative to the Gleason score. Eur Urol 69(3):428–435. https://doi.org/10.1016/j.eururo.2015.06.046

5. Elmore JG, Longton GM, Carney PA, Geller BM, Onega T, Tosteson AN et al (2015) Diagnostic concordance among pathologists interpreting breast biopsy specimens. JAMA 313(11):1122–1132. https://doi.org/10.1001/jama.2015.1405

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