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. 2020 Aug 28;11:1275. doi: 10.3389/fpls.2020.01275

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Copyright © 2020 Khan, Voß, Pound and French

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Steps in the post-processing process to distinguish incorrectly joined neighboring predictions. (A) The predicted output from the network; (B) morphological opening applied to remove unwanted noise; (C) morphological dilation marks the background pixels; (D) distance transform marks the foreground pixels; (E) subtraction of foreground from background to get the boundary region of connecting nuclei; (F) watershed segmentation produces the final result (images cropped to area of interest for clarity).