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The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction

Fuente: arXiv

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Bibliographic Details
Main Authors:	Garrucho, Lidia, Joshi, Smriti, Kushibar, Kaisar, Osuala, Richard, Bobowicz, Maciej, Bargalló, Xavier, Jaruševičius, Paulius, Geissler, Kai, Schäfer, Raphael, Alberb, Muhammad, Xu, Tony, Martel, Anne, Sleiman, Daniel, Awasthi, Navchetan, Awwad, Hadeel, Vilanova, Joan C., Martí, Robert, Schouten, Daan, Lee, Jeong Hoon, Rusu, Mirabela, Poeta, Eleonora, Vargas, Luisa, Pastor, Eliana, Zuluaga, Maria A., Kächele, Jessica, Bounias, Dimitrios, Ertl, Alexandra, Gwoździewicz, Katarzyna, Cosaka, Maria-Laura, Abo-Elhoda, Pasant M., Tantawy, Sara W., Sakrana, Shorouq S., Shawky-Abdelfatah, Norhan O., Abdo-Salem, Amr Muhammad, Kozana, Androniki, Divjak, Eugen, Ivanac, Gordana, Nikiforaki, Katerina, Klontzas, Michail E., García-Dosdá, Rosa, Gulsun-Akpinar, Meltem, Lafcı, Oğuz, Martín-Isla, Carlos, Díaz, Oliver, Igual, Laura, Lekadir, Karim
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
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