Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results

Deep learning (DL) has become the dominant approach for medical image segmentation, yet ensuring the reliability and clinical applicability of these models requires addressing key challenges such as annotation variability, calibration, and uncertainty estimation. This is why we created the Calibrati...

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Bibliographic Details
Published in:	Computers in biology and medicine Vol. 197; no. Pt B; p. 111024
Main Authors:	Riera-Marín, Meritxell, O.K., Sikha, Rodríguez-Comas, Júlia, May, Matthias Stefan, Pan, Zhaohong, Zhou, Xiang, Liang, Xiaokun, Erick, Franciskus Xaverius, Prenner, Andrea, Hémon, Cédric, Boussot, Valentin, Dillenseger, Jean-Louis, Nunes, Jean-Claude, Qayyum, Abdul, Mazher, Moona, Niederer, Steven A., Kushibar, Kaisar, Martín-Isla, Carlos, Radeva, Petia, Lekadir, Karim, Barfoot, Theodore, Garcia Peraza Herrera, Luis C., Glocker, Ben, Vercauteren, Tom, Gago, Lucas, Englemann, Justin, Kleiss, Joy-Marie, Aubanell, Anton, Antolin, Andreu, García-López, Javier, González Ballester, Miguel A., Galdrán, Adrián
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.10.2025 Elsevier
Subjects:	Abdominal CT Artificial Intelligence Bioengineering Calibration Computer Science Deep Learning Engineering Sciences Humans Image Processing, Computer-Assisted - methods Imaging Internal Medicine Life Sciences Medical Imaging Multi-class image segmentation Multiple expert annotations Other Signal and Image processing Uncertainty Multiple expert annotations Uncertainty Multi-class image segmentation Calibration Abdominal CT abdominal CT
ISSN:	0010-4825, 1879-0534, 1879-0534
Online Access:	Get full text
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