Article

Domain Shift-Robust Tumor Segmentation Across Hospitals

2026-03-17

Abstract excerpt

Deep learning-based tumor segmentation has achieved strong performance on benchmark datasets, yet models often degrade when deployed in new hospitals. This decline is largely driven by domain shift, including differences in scanners, acquisition protocols, reconstruction settings, patient populations, and annotation styles. In high-stakes clinical workflows, such instability limits real adoption because a model th...

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Literature Corpus work: 2c7c095f-5726-5c7f-a1d7-ed3a1872d8de
DOI: 10.20944/preprints202603.1153.v1

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