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A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus
Unsupervised segmentation in biological and non-biological images is only partially resolved. Segmentation either requires arbitrary thresholds or large teaching datasets. Here, we propose a spatial autocorrelation method based on Local Moran’s I coefficient to differentia
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