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Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
1.296
Zitationen
2
Autoren
2016
Jahr
Abstract
This paper represents the largest comprehensive study of DL approaches in DP to date, with over 1200 DP images used during evaluation. The supplemental online material that accompanies this paper consists of step-by-step instructions for the usage of the supplied source code, trained models, and input data.
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