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Histological grading of the prostate carcinoma using deep learning: an unsupervised approach.

, , , , , и . Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)

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Dominik Otto

Dominik Heiss

Spin Storage in quantum dot ensembles and single quantum dots. TU München, (2009)

Dominik Bernhardt

Zeitabhängige, multimodale Modellierung und Analyse von Herzdaten. Uni Karlsruhe, (2009)

Dominik Lübbers

Adaptive multimodale Exploration von Musiksammlungen. TU Aachen, (2009)

Dominik Berliner

Untersuchungen der Mikrozirkulation bei diabetischen Patienten mittels Laser-Doppler-Flowmetrie und Messung des transkutanen Sauerstoffpartialdrucks unter besonderer Berücksichtigung der limited joint mobility. Uni Gießen, (2009)
 

Другие публикации лиц с тем же именем

Comparing Machine Learning Approaches for Multivariate Time Series Forecasting. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Bachelor Thesis, (апреля 2018)Histological grading of the prostate carcinoma using deep learning: an unsupervised approach., , , , , и . Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)Computational Gene Expression Deconvolution. Leipzig University, Germany, (2020)base-search.net (ftunivleipzig:oai:qucosa:de:qucosa:75763).Histological grading of the prostate carcinoma using deep learning: an unsupervised approach (Erratum)., , , , , и . Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)