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Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

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dc.contributor.authorKhanal, Bidur
dc.contributor.authorDai, Tianhong
dc.contributor.authorBhattarai, Binod
dc.contributor.authorLinte, Cristian A.
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2025-01-15T12:25:00Z
dc.date.available2025-01-15T12:25:00Z
dc.date.issued2024-10-03
dc.descriptionAcknowledgements. 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.en
dc.description.statusPeer revieweden
dc.format.extent7224875
dc.identifier291850976
dc.identifier2e824774-1094-48dc-ae4a-6da0fa71405a
dc.identifier105007767119
dc.identifier.citationKhanal, 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_4en
dc.identifier.citationconferenceen
dc.identifier.doi10.1007/978-3-031-72120-5_4
dc.identifier.otherORCID: /0000-0001-7171-6469/work/176227488
dc.identifier.otherORCID: /0000-0001-8904-1551/work/189640776
dc.identifier.urihttps://hdl.handle.net/2164/24878
dc.language.isoeng
dc.subjectActive label cleaningen
dc.subjectLabel noiseen
dc.subjectLearning with noisy labels (LNL)en
dc.subjectMedical image classificationen
dc.subjectImbalanced dataen
dc.subjectActive learningen
dc.subjectLimited budgeten
dc.subjectR Medicineen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectOtheren
dc.subjectSupplementary Informationen
dc.subjectCF10834-10en
dc.subject.lccRen
dc.subject.lccQA75en
dc.titleActive Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noiseen
dc.typeConference paperen

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