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Evaluating Performance of Biomedical Image Retrieval Systems –an Overview of the Medical Image Retrieval task at ImageCLEF 2004-2014

, , , , , and . Computerized Medical Imaging and Graphics, (2014)

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Evaluating Performance of Biomedical Image Retrieval Systems –an Overview of the Medical Image Retrieval task at ImageCLEF 2004-2014, , , , , and . Computerized Medical Imaging and Graphics, (2014)Creating a classification of image types in the medical literature for visual categorization, , , and . SPIE medical imaging, (2012)A decade of community-wide efforts in advancing medical images understanding and retrieval, , , and . Computerized Medical Imaging and Graphics, (2014)Hybrid Ensemble-Rule Algorithm for Improved MEDLINE® Sentence Boundary Detection., , and . AMIA, AMIA, (2021)CBIR of spine X-ray images on inter-vertebral disc space and shape profiles using feature ranking and voting consensus., , , , , and . Data Knowl. Eng., 68 (12): 1359-1369 (2009)Design and Development of a Multimodal Biomedical Information Retrieval System., , , and . JCSE, 6 (2): 168-177 (2012)A Kernel Support Vector Machine Trained Using Approximate Global and Exhaustive Local Sampling., , , and . BDCAT, page 267-268. ACM, (2017)Distribution fitting-based pixel labeling for histology image segmentation., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79633D. SPIE, (2011)Biomedical Image Data Types and Processing.. Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Automated signal drift and global fluctuation removal from 4D fMRI data based on principal component analysis as a major preprocessing step for fMRI data analysis., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109531E. SPIE, (2019)