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Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening

Title:	Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening
Authors:	Clark, Christopher^Aff13; Kinder, Scott^Aff13; Egemen, Didem^Aff14; Befano, Brian^Aff15; Desai, Kanan^Aff14; Ahmed, Syed Rakin^Aff16; Singh, Praveer^Aff13; Rodriguez, Ana Cecilia^Aff14; Jeronimo, Jose^Aff14; De Sanjose, Silvia^Aff17; Wentzensen, Nicolas^Aff14; Schiffman, Mark^Aff14; Kalpathy-Cramer, Jayashree^Aff13
Contributors:	Goos, Gerhard, Series Editor^Aff1; Hartmanis, Juris, Founding Editor^Aff2; Bertino, Elisa, Editorial Board Member^Aff3; Gao, Wen, Editorial Board Member^Aff4; Steffen, Bernhard, Editorial Board Member^Aff5; Yung, Moti, Editorial Board Member^Aff6; Sudre, Carole H., editor^Aff7; Mehta, Raghav, editor^Aff8; Ouyang, Cheng, editor^Aff9; Qin, Chen, editor^Aff10; Rakic, Marianne, editor^Aff11; Wells, William M., editor^Aff12
Source:	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. 15167:205-214
Database:	Springer Nature eBooks