{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:34:51Z","timestamp":1753886091304,"version":"3.41.2"},"reference-count":17,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2010,4,1]],"date-time":"2010-04-01T00:00:00Z","timestamp":1270080000000},"content-version":"vor","delay-in-days":455,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["5K25CA106799-03"],"award-info":[{"award-number":["5K25CA106799-03"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Biomedical Imaging"],"published-print":{"date-parts":[[2009,1]]},"abstract":"<jats:p>An application of an unsupervised neural network\u2010based computer\u2010aided diagnosis (CAD) system is reported for the detection\nand characterization of small indeterminate breast lesions, average size 1.1\u2009mm, in dynamic contrast\u2010enhanced MRI. This system\nenables the extraction of spatial and temporal features of dynamic MRI data and additionally provides a segmentation with regard\nto identification and regional subclassification of pathological breast tissue lesions. Lesions with an initial contrast enhancement\n\u226550%  were selected with semiautomatic segmentation. This conventional segmentation analysis is based on the mean initial signal\nincrease and postinitial course of all voxels included in the lesion. In this paper, we compare the conventional segmentation analysis\nwith unsupervised classification for the evaluation of signal intensity time courses for the differential diagnosis of enhancing\nlesions in breast MRI. The results suggest that the computerized analysis system based on unsupervised clustering has the potential to\nincrease the diagnostic accuracy of MRI mammography for small lesions and can be used as a basis for computer\u2010aided diagnosis\nof breast cancer with MR mammography.<\/jats:p>","DOI":"10.1155\/2009\/326924","type":"journal-article","created":{"date-parts":[[2010,4,1]],"date-time":"2010-04-01T15:31:05Z","timestamp":1270135865000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal\u2010Intensity Time Courses in Dynamic Breast MRI"],"prefix":"10.1155","volume":"2009","author":[{"given":"A.","family":"Meyer-Baese","sequence":"first","affiliation":[]},{"given":"T.","family":"Schlossbauer","sequence":"additional","affiliation":[]},{"given":"O.","family":"Lange","sequence":"additional","affiliation":[]},{"given":"A.","family":"Wismueller","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2010,4]]},"reference":[{"key":"e_1_2_6_1_2","doi-asserted-by":"publisher","DOI":"10.1007\/s003300050006"},{"key":"e_1_2_6_2_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.211.1.r99ap38101"},{"key":"e_1_2_6_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0730-725X(02)00464-2"},{"key":"e_1_2_6_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2007.08.001"},{"key":"e_1_2_6_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-004-2280-x"},{"key":"e_1_2_6_6_2","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.20794"},{"key":"e_1_2_6_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21026"},{"key":"e_1_2_6_8_2","doi-asserted-by":"publisher","DOI":"10.1118\/1.2210568"},{"key":"e_1_2_6_9_2","doi-asserted-by":"publisher","DOI":"10.1097\/01.rli.0000164788.73298.ae"},{"key":"e_1_2_6_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-005-0053-9"},{"volume-title":"Pattern Recognition for Medical Imaging","year":"2003","author":"Meyer-B\u00e4se A.","key":"e_1_2_6_11_2"},{"key":"e_1_2_6_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/72.238311"},{"key":"e_1_2_6_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(02)00063-1"},{"key":"e_1_2_6_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/18.144705"},{"key":"e_1_2_6_15_2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013550313321"},{"key":"e_1_2_6_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(96)00018-4"},{"volume-title":"Digital Image Processing","year":"2002","author":"Gonzalez R. 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