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25 June 2021 Histological grading of the prostate carcinoma using deep learning: an unsupervised approach (Erratum)
Markus Bauer, Sebastian Zürner, Markus Kreuz, Dominik Otto, Georg Popp, Ulf-Dietrich Braumann
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Proceedings Volume 11603, Medical Imaging 2021: Digital Pathology; 1160319 (2021) https://doi.org/10.1117/12.2604021
Event: SPIE Medical Imaging, 2021, Online Only
Abstract
Publisher’s Note: This paper, originally published on 15, February 2021, was replaced with a corrected/revised version on 24 June 2021 If you downloaded the original PDF but are unable to access the revision, please contact SPIE Digital Library Customer Service for assistance.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Markus Bauer, Sebastian Zürner, Markus Kreuz, Dominik Otto, Georg Popp, and Ulf-Dietrich Braumann "Histological grading of the prostate carcinoma using deep learning: an unsupervised approach (Erratum)", Proc. SPIE 11603, Medical Imaging 2021: Digital Pathology, 1160319 (25 June 2021); https://doi.org/10.1117/12.2604021
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KEYWORDS
Prostate
Information science
Medical imaging
Pathology
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