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. 2021 Jun 24;26(9):1125–1137. doi: 10.1177/24725552211023214

Box 1.

Common definitions.

Transfer learning: Applying the knowledge gained from one domain to another one, for example, using a model trained using images from one cell line (source domain) to predict images from another cell line (target domain)
Label smoothing: Acknowledging possible errors in annotations and setting the prediction target to values away from traditional 0/1 (e.g., 0.1 and 0.9) to reflect this.42
Evaluation metrics:
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