Khanal, BidurDai, TianhongBhattarai, BinodLinte, Cristian A.2025-01-152025-01-152024-10-03Khanal, B, Dai, T, Bhattarai, B & Linte, C A 2024, 'Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise', Paper presented at MICCAI 2024, Marrakesh, Morocco, 6/10/24 - 10/10/24. https://doi.org/10.1007/978-3-031-72120-5_4conferenceORCID: /0000-0001-7171-6469/work/176227488ORCID: /0000-0001-8904-1551/work/189640776https://hdl.handle.net/2164/24878Acknowledgements. Research reported in this publication was supported by the NIGMS Award No. R35GM128877 of the National Institutes of Health, and by OAC Award No. 1808530 and CBET Award No. 2245152, both of the National Science Foundation, and by the Aberdeen Startup Grant CF10834-10. We also acknowledge Research Computing at the Rochester Institute of Technology [?]for providing computing resources.7224875engActive label cleaningLabel noiseLearning with noisy labels (LNL)Medical image classificationImbalanced dataActive learningLimited budgetR MedicineQA75 Electronic computers. Computer scienceOtherSupplementary InformationCF10834-10RQA75Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label NoiseConference paper10.1007/978-3-031-72120-5_4