Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies
Author:
Funder
Funding for this study was provided by Paige.AI, Inc.
Publisher
Springer Science and Business Media LLC
Subject
Pathology and Forensic Medicine
Link
http://www.nature.com/articles/s41379-020-0551-y.pdf
Reference18 articles.
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3. Matoso A, Epstein JI. Defining clinically significant prostate cancer on the basis of pathological findings. Histopathology. 2019;74:135–45.
4. Mahal BA, Butler S, Franco I, Spratt DE, Rebbeck TR, D’Amico AV, et al. Use of active surveillance or watchful waiting for low-risk prostate cancer and management trends across risk groups in the United States, 2010–2015. JAMA. 2019;321:704.
5. Amin MB, Lin DW, Gore JL, Srigley JR, Samaratunga H, Egevad L, et al. The critical role of the pathologist in determining eligibility for active surveillance as a management option in patients with prostate cancer: consensus statement with recommendations supported by the College of American Pathologists, International Society of Urological Pathology, Association of Directors of Anatomic and Surgical Pathology, the New Zealand Society of Pathologists, and the Prostate Cancer Foundation. Arch Pathol Lab Med. 2014;138:1387–405.
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