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Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

Fig 5

Canberra stability indicator on HINT and KIMIA datasets.

For each architecture, a set of deep feature lists is generated, one list for each internal run of training in the nested cross validation schema, each ranked with KBest. Canberra stability is computed as in [32]: lower stability is better.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1006269.g005