Performance evaluation of deep learning models for image analysis: considerations for visual control and statistical metrics

ArXi:2603.13557v1 Announce Type: new Deep learning-based automated image analysis (DL-AIA) has been shown to outperform trained pathologists in tasks related to feature quantification. Related to these capacities the use of DL-AIA tools is currently extending from proof-of-principle studies to routine applications such as patient samples (diagnostic pathology), regulatory safety assessment (toxicologic pathology), and recurrent research tasks.