Correlation Clustering of Organoid Images

arXiv:2403.13376v1 Announce Type: new
Abstract: In biological and medical research, scientists now routinely acquire microscopy images of hundreds of morphologically heterogeneous organoids and are then faced with the task of finding patterns in the image collection, i.e., subsets of organoids that appear similar and potentially represent the same morphological class. We adopt models and algorithms for correlating organoid images, i.e., for quantifying the similarity in appearance and geometry of the organoids they depict, and for clustering organoid images by consolidating …

abstract algorithms arxiv class clustering collection correlation cs.cv image images medical medical research microscopy organoid patterns research scientists subsets type