Extended Data Fig. 4: Additional classification performance characteristics of CelloType.
From: CelloType: a unified model for segmentation and classification of tissue images
a) Mean average precision as a function of the number of classes in CODEX CRC (top) and bone marrow (bottom) datasets. b) Scatter plot of the number of cells for each cell type and AP performance using the CODEX CRC (top) and bone marrow (bottom) datasets. The linear regression line is shown with the 0.95 confidence interval bands. c) Memory usage and running time of the compared methods on the CODEX CRC dataset. d) Training time as a function of the number of classes in the CODEX CRC dataset. Seg, segmentation. Cla, classification. The linear regression line is displayed with 0.95 confidence interval bands. Benchmarking experiments were run using a HPC node with an Intel Xeon 6342 CPU (24 cores) and 4 Nvidia A100 GPUs.
