2 papers
eess.IV2026
Destroy Me: Automatic Artifact Generation for Histopathology Images
Zuzanna Krawczyk-Borysiak, Adam Krawczyk, Mateusz Miller +4
Deep learning's diagnostic utility in pathology is constrained by model vulnerability to real-world data imperfections. While current strategies favor "perfect data" by filtering l…
cs.CL2026
Toward Automatic Filling of Case Report Forms: A Case Study on Data from an Italian Emergency Department
Gabriela Anna Kaczmarek, Pietro Ferrazzi, Lorenzo Porta +2
Case Report Forms (CRFs) collect data about patients and are at the core of well-established practices to conduct research in clinical settings. With the recent progress of languag…