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. Author manuscript; available in PMC: 2021 Jul 29.
Published in final edited form as: Hum Pathol. 2015 Feb 19;46(5):767–775. doi: 10.1016/j.humpath.2015.01.019

Fig. 1.

Fig. 1

The process of identifying hepatocyte ballooning. Actual results and tiles are shown for 2 different biopsy sections. Original scanned images are first divided into tiles. Each tile is assigned a probability of containing hepatocyte ballooning (black is a probability of 0, middle gray is 50%, and white is 100%). Last, a threshold is determined for what probability is required for a tile to be automatically classified as hepatocyte ballooning.