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  Indian J Med Microbiol
 

Figure 1: (a) Evaluation of the deep learning-based PD-L1 tumor cell proportion scoring against pathologists on the unseen resectates NSCLC slides; (b) Pairwise scatter plots between the first reference visual scores by pathologists and the automatic scores, generated either using the baseline heuristic approach (left) or the proposed deep learning approach (right); (c) Quantitative concordance measures between the first visual scores by pathologists and the two automatic scoring approaches; On the subset of samples with two visual scores by pathologists available, mean and standard deviation of the aforementioned measures for the two approaches over these two visual scores, and concordance between these two visual scores

Figure 1: (a) Evaluation of the deep learning-based PD-L1 tumor cell proportion scoring against pathologists on the unseen resectates NSCLC slides; (b) Pairwise scatter plots between the first reference visual scores by pathologists and the automatic scores, generated either using the baseline heuristic approach (left) or the proposed deep learning approach (right); (c) Quantitative concordance measures between the first visual scores by pathologists and the two automatic scoring approaches; On the subset of samples with two visual scores by pathologists available, mean and standard deviation of the aforementioned measures for the two approaches over these two visual scores, and concordance between these two visual scores