arXiv Machine Learning By Abhijeet Parida, Antonia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, Maria Ledesma-Carbayo, Ziyue Xu, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration

Read the original on arXiv Machine Learning →

arXiv:2407. 13632v2 Announce Type: replace-cross Abstract: Deploying deep learning-based imaging tools across various clinical sites poses significant challenges due to inherent domain shifts and regulatory hurdles associated with site-specific fine-tuning.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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