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Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis

Table 1

Number of correct predictions relative to the amount of samples split into the diagnostic groups of the initial dataset.

Results are shown for the feature-based classification (FBC) and deep learning-based classification (DLC).

Table 1

doi: https://doi.org/10.1371/journal.pone.0257635.t001