METHOD FOR CELL IMAGE SEGMENTATION USING SCRIBBLE LABELS, RECORDING MEDIUM AND DEVICE FOR PERFORMING THE METHOD

    公开(公告)号:US20220101522A1

    公开(公告)日:2022-03-31

    申请号:US17477827

    申请日:2021-09-17

    Abstract: A cell image segmentation method using scribble labels includes iteratively pre-training via an image segmentation network (U-Net) using a cell image and scribble labels indicating a cell region and a background region as training data, calculating an exponential moving average (EMA) of image segmentation prediction probabilities at a predetermined interval during the pre-training, self-training by assigning the cell region and the background region for which the EMA of image segmentation prediction probabilities is over a preset threshold to be a pseudo-label, and iteratively refining the image segmentation prediction probability based on a scribbled loss (Lsp) obtained through a result of the training and an unscribbled loss (Lup). Accordingly, it is possible to achieve cell image segmentation with high reliability using only scribble labels.

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