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Article

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

2018-06-06

Abstract excerpt

Artificial Intelligence is exponentially increasing its impact on healthcare. As deep learning is mastering computer vision tasks, its application to digital pathology is natural, with the promise of aiding in routine reporting and standardizing results across trials. Deep learning features inferred from digital pathology scans can improve validity and robustness of current clinico-pathological features, up to ide...

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Identifiers and source

Literature Corpus work
3e88f46a-8daf-5526-b4ae-052c7d21c160
DOI
10.1101/340646
Open publication

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Evaluating reproducibility of AI algorithms in digital pathology with DAPPERDOI 10.1101/340646
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