@inproceedings{a484adfa21074db0821f2dfe6e4953df,
title = "When Experts Disagree: Characterizing imperfect segmentations from multiple annotators when ground truth is unavailable",
abstract = "Manual vessel segmentations exhibit substantial inter- and intra-annotator variability, introducing uncertainty when such annotations are used as pseudo ground truth. In this work, we systematically investigate this variability in 2D Digital Subtraction Angiography images and characterize the uncertainty across multiple annotators. A dataset of 66 clinical images and approximately 2,000 derived image patches was analyzed using expert segmentations and additional ratings.",
keywords = "Digital Subtraction Angiography, Uncertainty Quantification, Vessel Segmentation",
author = "Masha Geshvadi and Gloria So and Chlorogiannis, \{David D.\} and Colin Galvin and Erickson Torio and Amirali Azimi and Yaw Tachie-Baffour and Nazim Haouchine and Alexandra Golby and Mark Vangel and Wells, \{William M.\} and Yan Epelboym and Rose Du and Funda Durupinar and Sarah Frisken",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2026: Image Processing ; Conference date: 15-02-2026 Through 19-02-2026",
year = "2026",
month = apr,
day = "3",
doi = "10.1117/12.3086577",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Jhimli Mitra and Yu Gan",
booktitle = "Medical Imaging 2026",
}