TL;DR
Role-labelled data-governance audits are therefore necessary before pooled breast-ultrasound training results are interpreted as evidence of external generalization.
The findings support preliminary source-group-preserving methodological evidence rather than patient-level, whole-slide, or clinical validity, and support preliminary source-group-preserving methodological evidence rather than patient-level, whole-slide, or clinical validity.
Background: Public breast ultrasound datasets are assembled around lesions. Of eight sources examined here, five contain no normal images, and under leave-one-dataset-out evaluation, the normal class is therefore almost perfectly confounded with the acquisition source: with one site held out, 356 of the 358 normal trai...
A targeted source-inclusion sensitivity analysis indicates model- and cohort-dependent sensitivity to training-pool composition, rather than a universal benefit from adding data or a universally preferred configuration, in breast ultrasound segmentation.
The findings highlight the importance of external validation, detection-aware evaluation, and efficient deployment for reliable breast ultrasound segmentation.
Neither the WDBC benchmark results nor the TOMPEI methodological replication establish population screening performance or clinical deployment readiness; further prospective clinically representative validation is required.
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