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A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices., , , , , , , , and . CBMS, page 527-532. IEEE, (2021)Tissue classification using cluster features for lesion detection in digital cervigrams., , , , , and . Medical Imaging: Image Processing, volume 6914 of SPIE Proceedings, page 69141Z. SPIE, (2008)Customized Hough Transform for Robust Segmentation of Cervical Vertebrae from X-Ray Images., , , , and . SSIAI, page 224-228. IEEE Computer Society, (2002)On the creation of a segmentation library for digitized cervical and lumbar spine radiographs., , , , , and . Comput. Medical Imaging Graph., 35 (4): 251-265 (2011)Optimal embedding for shape indexing in medical image databases., , , , and . Medical Image Anal., 14 (3): 243-254 (2010)Pathology-based vertebral image retrieval., , , and . ISBI, page 1893-1896. IEEE, (2011)Using relevance feedback with short-term memory for content-based spine X-ray image retrieval., , , , and . Neurocomputing, 72 (10-12): 2259-2269 (2009)Integrating visual words as bunch of n-grams for effective biomedical image classification., , , , , and . WACV, page 431-436. IEEE Computer Society, (2014)Geographically Distributed Complementary Content-Based Image Retrieval Systems for Biomedical Image Informatics., , , and . MedInfo, volume 129 of Studies in Health Technology and Informatics, page 493-497. IOS Press, (2007)SPIRS: A Framework for Content-based Image Retrieval from Large Biomedical Databases., , and . MedInfo, volume 129 of Studies in Health Technology and Informatics, page 188-192. IOS Press, (2007)