Article

Built to last? Reproducibility and Reusability of Deep Learning Algorithms in Computational Pathology

2022-05-17

Abstract excerpt

Recent progress in computational pathology has been driven by deep learning. While code and data availability are essential to reproduce findings from preceding publications, ensuring a deep learning model’s reusability is more challenging. For that, the codebase should be well-documented and easy to integrate in existing workflows, and models should be robust towards noise and generalizable towards data from diff...

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Literature Corpus work: 5161c5d5-9bf9-543e-99a1-1990396fdf99
DOI: 10.1101/2022.05.15.22275108

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