Fig. 5
From: Towards pixel-to-pixel deep nucleus detection in microscopy images
Performance of MicroNet fine-tuning. From top to bottom, each row represents the F1 score of model fine-tuning with respect to the number of training iterations (row 1), the percentage of target training data (row 2), the stage of base models (row 3) and the number of fixed learning blocks during fine-tuning (row 4). For a comparison, the F1 score of learning from scratch is also provided in each plot