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Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning., , , , , и . CBMS, стр. 622-627. IEEE, (2023)Similarity-based uncertainty scores for computer-aided diagnosis., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation., , и . ICMLA (2), стр. 155-161. IEEE Computer Society, (2011)978-0-7695-4607-0.DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles., , , , и . Data, 4 (2): 54 (2019)Developing Parameters for a Technology to Predict Patient Satisfaction in Naturalistic Clinical Encounters., , , и . HCI (18), том 12198 из Lecture Notes in Computer Science, стр. 473-490. Springer, (2020)Directional Invariance of Co-occurrence Matrices within the Liver., , , и . BIOTECHNO, стр. 29-34. IEEE Computer Society, (2008)Probabilistic lung nodule classification with belief decision trees., , , и . EMBC, стр. 4493-4498. IEEE, (2011)Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms., , , и . MCBR-CDS, том 5853 из Lecture Notes in Computer Science, стр. 69-76. Springer, (2009)Image enhancement and edge-based mass segmentation in mammogram., , , и . Medical Imaging: Image Processing, том 7623 из SPIE Proceedings, стр. 76234P. SPIE, (2010)A comparison of texture models for automatic liver segmentation., , , , и . Medical Imaging: Image Processing, том 6512 из SPIE Proceedings, стр. 65124E. SPIE, (2007)