Similar discrimination, different behaviour under synthetic occlusion: confidence and attribution reproducibility of deep learning models for intraoral ultrasonography

Objectives: To determine whether similar baseline discrimination conceals different responses to synthetic occlusion, whether loss of discrimination is accompanied by reduced confidence, and whether spatial attributions are reproducible in intraoral ultrasonography models. Methods: We analysed 477 images from 40 healthy volunteers, using acquisition position to label superior and inferior subregions. Five architectures were evaluated across five training seeds on a subject-independent test set of 97 images from eight volunteers. Images underwent constant-intensity occlusion at boundaries spann

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