Fig. 6: CelloType supports joint multiscale segmentation and classification.
From: CelloType: a unified model for segmentation and classification of tissue images

a, A grouped barplot showing AP stratified by cell and microanatomic structure type. Each grouped barplot is overlaid with five data points, representing the results of a 5-fold cross-validation. The bar height represents mean values from a 5-fold cross-validation experiment. The error bar represents the standard deviation. pDCs, plasmacytoid dendritic cells. b, A line plot showing the relationship between classification accuracy and confidence score threshold. X1, fitted coefficient for linear regression between classification accuracy and confidence score; pval, P value for the coefficient. c, Representative examples of multiscale segmentation and classification using human bone marrow CODEX data. The first row of images shows an example of bone marrow area consisting of various types of smaller hematopoietic cella and much larger adipocytes. The second row of images shows an example of bone marrow area consisting of various hematopoietic cell types and microanatomic structures such as trabecula bone fragments. Randomly selected confidence scores for cell classification are displayed next to the predicted instances.