Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score

Author:

Jiménez del Toro Oscar1,Atzori Manfredo1,Otálora Sebastian1,Andersson Mats2,Eurén Kristian2,Hedlund Martin2,Rönnquist Peter2,Müller Henning1

Affiliation:

1. Univ. of Applied Sciences Western Switzerland (Switzerland)

2. ContextVision AB (Sweden)

Publisher

SPIE

Reference26 articles.

1. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012

2. Classification of prostatic carcinomas;Gleason,1966

3. Gleason grading and prognostic factors in carcinoma of the prostate

4. A Contemporary Prostate Cancer Grading System: A Validated Alternative to the Gleason Score

5. The 2014 international society of urological pathology (ISUP) consensus conference on gleason grading of prostatic carcinoma: definition of grading patterns and proposal for a new grading system;Epstein,2016

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