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Fig. 5 | Biological Procedures Online

Fig. 5

From: Development of an Interpretable Deep Learning Model for Pathological Tumor Response Assessment After Neoadjuvant Therapy

Fig. 5

a Comparative assessment of residual tumor percentage by different analytical approaches versus expert consensus ground truth. b Assessment of model-predicted residual tumor percentages against ground truth measurements across two study cohorts. The performance remained notable on the external Cohort 2 test set, showing satisfactory generalizability of our approach to new histological specimens. c Scatter plots comparing viable tumor percentage predictions for example patients from human experts and the deep learning model, illustrating general concordance between automated and manual assessment methods

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Biological Procedures Online

ISSN: 1480-9222

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