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. 2021 Oct 18;12:730100. doi: 10.3389/fendo.2021.730100

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Copyright © 2021 Micko, Placzek, Fonollà, Winklehner, Sentosa, Krause, Vila, Höftberger, Andreana, Drexler, Leitgeb, Unterhuber and Wolfsberger

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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Case 2. Convolutional neuronal network assessment of OCT images of samples of pituitary adenoma (black arrow) and adjacent gland (white arrow). (A) MRI, 9mm microadenoma. (B) intraoperative imaging. (C) Diagram of pituitary adenoma probability. X axis: number of each classified slice (500 per sample). The orange line indicates the classification threshold for pituitary adenoma/non-adenoma. The blue curve indicates an average of 150 slices to visualize the network prediction. (D) OCT 3-dimensional visualization of the sub-volume of sample 2 – transition zone, H/E slices of pituitary adenoma (red box) and pituitary gland tissue. Yellow arrows indicate nests. Scale bars: 50 µm.