Moreover, we publish a new dataset of manually labelled images suitable for this task together with the unlabelled data for self-supervised pretraining.  ...  To increase the transferability to different cell types, non-deep learning transfer with adjustable parameters is used in the post-processing step.  ...  SeSe-Net [28] propose a more complex self-supervised approach, where two networks are trained; one is trained for the segmentation quality prediction and another for the segmentation.  ...