{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:33:57Z","timestamp":1774881237642,"version":"3.50.1"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2010,5,28]],"date-time":"2010-05-28T00:00:00Z","timestamp":1275004800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2011,6]]},"DOI":"10.1007\/s10278-010-9298-1","type":"journal-article","created":{"date-parts":[[2010,5,27]],"date-time":"2010-05-27T17:46:03Z","timestamp":1274982363000},"page":"446-463","source":"Crossref","is-referenced-by-count":92,"title":["Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification"],"prefix":"10.1007","volume":"24","author":[{"given":"Shannon C.","family":"Agner","sequence":"first","affiliation":[]},{"given":"Salil","family":"Soman","sequence":"additional","affiliation":[]},{"given":"Edward","family":"Libfeld","sequence":"additional","affiliation":[]},{"given":"Margie","family":"McDonald","sequence":"additional","affiliation":[]},{"given":"Kathleen","family":"Thomas","sequence":"additional","affiliation":[]},{"given":"Sarah","family":"Englander","sequence":"additional","affiliation":[]},{"given":"Mark A.","family":"Rosen","sequence":"additional","affiliation":[]},{"given":"Deanna","family":"Chin","sequence":"additional","affiliation":[]},{"given":"John","family":"Nosher","sequence":"additional","affiliation":[]},{"given":"Anant","family":"Madabhushi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,5,28]]},"reference":[{"key":"9298_CR1","doi-asserted-by":"crossref","first-page":"75","DOI":"10.3322\/canjclin.57.2.75","volume":"57","author":"D Saslow","year":"2007","unstructured":"Saslow D, Boetes C, Burke W, Harms S, Leach MO, Lehman CD, Morris E, Pisano E, Schnall M, Sener S, Smith RA, Warner E, Yaffe M, Andrews KS, Russell CA: American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin 57:75\u201389, 2007","journal-title":"CA Cancer J Clin"},{"key":"9298_CR2","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/S0720-048X(96)01142-4","volume":"24","author":"SH Heywang-Kobrunner","year":"1997","unstructured":"Heywang-Kobrunner SH, Viehweg P, Hienig A, Kuchler C: Contrast-enhanced MRI of the breast: accuracy, value, controversies, solutions. Eur J Radiol 24:94\u2013108, 1997","journal-title":"Eur J Radiol"},{"key":"9298_CR3","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1148\/radiology.151.2.6709920","volume":"151","author":"EA Sickles","year":"1984","unstructured":"Sickles EA, Filly RA, Callen PA: Benign breast lesions: ultrasound detection and diagnosis. Radiology 151:467\u2013470, 1984","journal-title":"Radiology"},{"key":"9298_CR4","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1148\/radiology.211.1.r99ap38101","volume":"211","author":"CK Kuhl","year":"1999","unstructured":"Kuhl CK, Mielcareck P, Klaschik S, Leutner C, Wardelmann E, Gieske J, Schild HH: Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions. Radiology 211:101\u2013110, 1999","journal-title":"Radiology"},{"issue":"Suppl. 5","key":"9298_CR5","doi-asserted-by":"crossref","first-page":"S281","DOI":"10.1007\/PL00006909","volume":"7","author":"CW Piccoli","year":"1997","unstructured":"Piccoli CW: Contrast-enhanced breast MRI: factors affecting sensitivity and specificity. Eur Radiol 7(Suppl. 5):S281\u2013S288, 1997","journal-title":"Eur Radiol"},{"key":"9298_CR6","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1016\/j.acra.2008.06.005","volume":"15","author":"K Nie","year":"2008","unstructured":"Nie K, Chen J-H, Yu HJ, Chu Y, Nalcioglu O, Su M-Y: Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI. Acad Radiol 15:1513\u20131525, 2008","journal-title":"Acad Radiol"},{"key":"9298_CR7","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1002\/jmri.1127","volume":"13","author":"DM Ikeda","year":"2001","unstructured":"Ikeda DM, Hylton N, Kinkel K, Hochman MG, Kuhl C, Kaiser WA, Weinreb JC, Smazal SF, Degani H, Viehweg P, Barclay J, Schnall MD: Development, standardization, and testing of a lexicon for reporting contrast-enhanced breast magnetic resonance imaging. J Magn Reson Imaging 13:889\u2013895, 2001","journal-title":"J Magn Reson Imaging"},{"key":"9298_CR8","volume-title":"Breast imaging reporting and data system atlas (BIRADS Atlas)","author":"American College of Radiology (ACR)","year":"2003","unstructured":"American College of Radiology (ACR): Breast imaging reporting and data system atlas (BIRADS Atlas). American College of Radiology, Reston, 2003"},{"issue":"1","key":"9298_CR9","doi-asserted-by":"crossref","first-page":"35","DOI":"10.2214\/ajr.175.1.1750035","volume":"175","author":"K Kinkel","year":"2000","unstructured":"Kinkel K, Helbich TH, Esserman LJ, Barclay J, Schwerin E, Sickles EA, Hylton NM: Dynamic high-spatial-resolution MR imaging of suspicious breast lesion: diagnostic criteria and interobserver variability. AJR Am J Roentgenol 175(1):35\u201343, 2000","journal-title":"AJR Am J Roentgenol"},{"issue":"1","key":"9298_CR10","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1148\/radiol.2381042117","volume":"238","author":"MD Schnall","year":"2006","unstructured":"Schnall MD, Blume J, Bleumke DA, DeAngelis GA, DeBruhl N, Harms S, Heywang-Kobrunner SH, Hylton N, Kuhl C, Pisano ED, Causer P, Schnitt SJ, Thickman D, Stelling CB, Weatherall PT, Lehman C, Gastonis CA: Diagnostic architectural and dynamic features at breast MR imaging: multicenter study. Radiology 238(1):42\u201353, 2006","journal-title":"Radiology"},{"issue":"3","key":"9298_CR11","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1002\/mrm.21361","volume":"58","author":"K-L Li","year":"2007","unstructured":"Li K-L, Henry R, Wilmes LJ, Gibbs J, Zhu X, Lu Y, Hylton NM: Kinetic assessment of breast tumors using high spatial resolution signal enhancement ratio (SER) imaging. Magn Reson Med 58(3):572\u2013581, 2007","journal-title":"Magn Reson Med"},{"key":"9298_CR12","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1007\/s003300050006","volume":"10","author":"C Kuhl","year":"2000","unstructured":"Kuhl C: MRI of breast tumors. Eur J Radiol 10:46\u201358, 2000","journal-title":"Eur J Radiol"},{"issue":"8","key":"9298_CR13","doi-asserted-by":"crossref","first-page":"2878","DOI":"10.1118\/1.2210568","volume":"33","author":"W Chen","year":"2006","unstructured":"Chen W, Giger ML, Bick U, Newstead GM: Automatic identification and classification of characteristic kinetic curves of breast lesion on DCE-MRI. Med Phys 33(8):2878\u20132887, 2006","journal-title":"Med Phys"},{"issue":"3","key":"9298_CR14","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1002\/jmri.21026","volume":"26","author":"MJ Stoutjesdijk","year":"2007","unstructured":"Stoutjesdijk MJ, Veltman J, Huisman H, Karssemeijer N, Barentsz JO, Blickman JG, Boetes C: Automated analysis of contrast enhancement in breast MRI lesions using mean shift clustering for ROI selection. J Magn Reson Imaging 26(3):606\u2013614, 2007","journal-title":"J Magn Reson Imaging"},{"key":"9298_CR15","doi-asserted-by":"crossref","first-page":"1344","DOI":"10.1016\/j.acra.2004.09.006","volume":"11","author":"BK Szabo","year":"2004","unstructured":"Szabo BK, Aspelin P, Wiberg MK: Neural network approach to the segmentation and classification of dynamic magnetic resonance images of the breast: comparison with empiric and quantitative kinetic parameters. Acad Radiol 11:1344\u20131354, 2004","journal-title":"Acad Radiol"},{"key":"9298_CR16","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.engappai.2007.04.005","volume":"21","author":"T Twellmann","year":"2008","unstructured":"Twellmann T, Meyer-Baese A, Lange O, Foo S, Nattkemper TW: Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning. Eng Appl Artif Intell 21:129\u2013140, 2008","journal-title":"Eng Appl Artif Intell"},{"issue":"7","key":"9298_CR17","doi-asserted-by":"crossref","first-page":"3192","DOI":"10.1118\/1.3151811","volume":"37","author":"Y Zheng","year":"2009","unstructured":"Zheng Y, Englander S, Baloch S, Zacharaki EI, Fan Y, Schnall MD, Shen D: STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis. Med Phys 37(7):3192\u20133204, 2009","journal-title":"Med Phys"},{"key":"9298_CR18","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1002\/jmri.20837","volume":"25","author":"BJ Woods","year":"2007","unstructured":"Woods BJ, Clymer BD, Kurc T, Heverhagen JT, Stevens R, Orsdemir A, Bulan O, Knopp MV: Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contast-enhanced magnetic resonance breast image data. J Magn Reson Imaging 25:495\u2013501, 2007","journal-title":"J Magn Reson Imaging"},{"key":"9298_CR19","doi-asserted-by":"crossref","first-page":"842","DOI":"10.1016\/j.acra.2009.01.029","volume":"16","author":"CE McLaren","year":"2009","unstructured":"McLaren CE, Chen W-P, Nie K, Su M-Y: Prediction of malignant breast lesions from mri features: a comparison of artificial neural network and logistic regression techniques. Acad Radiol 16:842\u2013851, 2009","journal-title":"Acad Radiol"},{"issue":"1","key":"9298_CR20","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1002\/jmri.20794","volume":"25","author":"LA Meinel","year":"2007","unstructured":"Meinel LA, Stolpen AH, Berbaum KS, Fajardo LL, Reinhardt JM: Breast MRI lesion classification: improved performance of human readers with a backpropagation neural network computer-aided (CAD) system. J Magn Reson Imaging 25(1):89\u201395, 2007","journal-title":"J Magn Reson Imaging"},{"key":"9298_CR21","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1109\/TMI.2008.916959","volume":"27","author":"J Levman","year":"2008","unstructured":"Levman J, Leung T, Causer P, Plewes D, Martel AL: Classification of dynamic contast-enhanced magnetic resonance breast lesions by support vector mechines. IEEE Transact Med Imaging 27:688\u2013696, 2008","journal-title":"IEEE Transact Med Imaging"},{"key":"9298_CR22","doi-asserted-by":"crossref","first-page":"1344","DOI":"10.1016\/j.acra.2006.08.003","volume":"13","author":"A Penn","year":"2006","unstructured":"Penn A, Thompson S, Brem R, Lehman C, Weatherall P, Schnall M, Newstead G, Conant E, Ascher S, Morris E, Pisano E: Morphologic blooming in breast MRI as a characterization of margin for discriminating benign from malignant lesions. Acad Radiol 13:1344\u20131354, 2006","journal-title":"Acad Radiol"},{"key":"9298_CR23","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1002\/mrm.10496","volume":"50","author":"P Gibbs","year":"2003","unstructured":"Gibbs P, Turnbull LW: Texture analysis of contast-enhanced MR images of the breast. Magn Reson Med 50:92\u201398, 2003","journal-title":"Magn Reson Med"},{"issue":"7","key":"9298_CR24","doi-asserted-by":"crossref","first-page":"780","DOI":"10.1038\/nm0797-780","volume":"3","author":"H Degani","year":"1997","unstructured":"Degani H, Gusis V, Weinstein D, Fields S, Strano S: Mapping pathophysiological features of breast tumors by MRI at high spatial resolution. Nat Med 3(7):780\u2013782, 1997","journal-title":"Nat Med"},{"issue":"1","key":"9298_CR25","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1148\/radiology.210.1.r99ja18233","volume":"210","author":"D Weinstein","year":"1999","unstructured":"Weinstein D, Strano S, Cohen P, Fields S, Gomori JM, Degani H: Breast fibroadenoma: mapping of pathophysiologic features with three-time-point, contrast-enhanced MR imaging\u2014pilot study. Radiology 210(1):233\u2013240, 1999","journal-title":"Radiology"},{"issue":"6","key":"9298_CR26","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1016\/j.ejrad.2007.05.026","volume":"66","author":"EAM Hauth","year":"2008","unstructured":"Hauth EAM, Jaeger H, Maderwald S, Muhler A, Kimmig R, Forsting M: Quantitative 2- and 3-dimensional analysis of pharmacokinetic model-derived variables for breast lesions in dynamic, contrast-enhanced MR mammography. Eur J Radiol 66(6):300\u2013308, 2008","journal-title":"Eur J Radiol"},{"key":"9298_CR27","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1002\/mrm.1910330416","volume":"33","author":"PS Tofts","year":"1995","unstructured":"Tofts PS, Berowitz B, Schnall MD: Quantitative analysis of dynamic Gd-DTPA enhancement in breast tumors using a permeability model. Magn Reson Med 33:564\u2013568, 1995","journal-title":"Magn Reson Med"},{"issue":"Pt 2","key":"9298_CR28","first-page":"101","volume":"9","author":"AL Martel","year":"2006","unstructured":"Martel AL: A fast method of generating pharmacokinetic maps from dynamic contrast-enhanced images of the breast. Int Conf Med Image Comput Comput Assist Interv 9(Pt 2):101\u2013108, 2006","journal-title":"Int Conf Med Image Comput Comput Assist Interv"},{"key":"9298_CR29","doi-asserted-by":"crossref","unstructured":"Vignati A, Giannini V, Bert A, Deluca M, Morra L, Persano D, Martincich L, Regge D: A fully automatic lesion detection method for DCE-MRI fat-suppressed breast images. Proceedings of SPIE Medical Imaging, 2009","DOI":"10.1117\/12.811526"},{"key":"9298_CR30","unstructured":"Coto E, Grimm S, Bruckner S, Groller ME, Kanitsar A, Rodriguez O. MammoExplorer: an advanced CAD application for breast DCE-MRI. Proceedings of Vision, Modeling and Visualization, 2005"},{"issue":"6","key":"9298_CR31","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1007\/s00330-008-0870-8","volume":"18","author":"J Veltman","year":"2008","unstructured":"Veltman J, Stoutjesdijk M, Mann R, Huisman HJ, Barentsz JO, Blickman JG, Boetes C: Contrast-enhanced magnetic resonance imaging of the breast: the value of pharmacokinetic parameters derived from fast dynamic imaging during initial enhancement in classifying lesions. Eur Radiol 18(6):1123\u20131133, 2008","journal-title":"Eur Radiol"},{"issue":"2","key":"9298_CR32","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.cviu.2005.07.010","volume":"101","author":"A Madabhushi","year":"2006","unstructured":"Madabhushi A, Udupa JK, Souza A: Generalized scale: theory, algorithms, and application to image inhomogeneity. Comput Vis Image Underst 101(2):100\u2013121, 2006","journal-title":"Comput Vis Image Underst"},{"issue":"12","key":"9298_CR33","doi-asserted-by":"crossref","first-page":"1611","DOI":"10.1109\/TMI.2005.859208","volume":"24","author":"A Madabhushi","year":"2005","unstructured":"Madabhushi A, Feldman M, Metaxas DN, Tomaszewski J, Chute D: Automated detection of prostate adenocarcinoma from high-resolution ex vivo MRI. IEEE Transact Med Imaging 24(12):1611\u20131625, 2005","journal-title":"IEEE Transact Med Imaging"},{"issue":"10","key":"9298_CR34","doi-asserted-by":"crossref","first-page":"1395","DOI":"10.1109\/83.791965","volume":"8","author":"P Kruizinga","year":"1999","unstructured":"Kruizinga P, Petkov N: Nonlinear operator for oriented texture. IEEE Transact Image Process 8(10):1395\u20131407, 1999","journal-title":"IEEE Transact Image Process"},{"issue":"6","key":"9298_CR35","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"3","author":"RM Haralick","year":"1973","unstructured":"Haralick RM, Shanmugam K, Dinstein IH: Textural features for image classification. IEEE Transact Syst Man Cybernet 3(6):610\u2013621, 1973","journal-title":"IEEE Transact Syst Man Cybernet"},{"issue":"9","key":"9298_CR36","doi-asserted-by":"crossref","first-page":"3927","DOI":"10.1118\/1.3180955","volume":"36","author":"P Tiwari","year":"2009","unstructured":"Tiwari P, Rosen M, Madabhushi A: Dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS). Med Phys 36(9):3927\u20133939, 2009","journal-title":"Med Phys"},{"issue":"8","key":"9298_CR37","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J: Normalized cuts and image segmentation. IEEE Transact Pattern Anal Mach Intel 22(8):888\u2013905, 2000","journal-title":"IEEE Transact Pattern Anal Mach Intel"},{"issue":"4","key":"9298_CR38","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1155\/2000\/421719","volume":"12","author":"C Rorden","year":"2000","unstructured":"Rorden C, Brett M: Stereotaxic display of brain lesions. Behav Neurol 12(4):191\u2013200, 2000","journal-title":"Behav Neurol"},{"key":"9298_CR39","first-page":"429","volume":"93","author":"D Gabor","year":"1946","unstructured":"Gabor D: Theory of communication. J Inst Elect Eng 93:429\u2013457, 1946","journal-title":"J Inst Elect Eng"},{"key":"9298_CR40","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1109\/TIP.2002.804262","volume":"11","author":"S Grigorescu","year":"2002","unstructured":"Grigorescu S, Petkov N, Kruizinga P: Comparison of texture features based on gabor filters. IEEE Transact Image Process 11:1160\u20131167, 2002","journal-title":"IEEE Transact Image Process"},{"key":"9298_CR41","doi-asserted-by":"crossref","unstructured":"Jain AK, Farrokhnia F: Unsupervised texture segmentation using Gabor filters. Proceedings IEEE International Conference on Systems, Man and Cybernetics, pp 14\u201319, 1990","DOI":"10.1109\/ICSMC.1990.142050"},{"key":"9298_CR42","doi-asserted-by":"crossref","unstructured":"Street WN, Wolberg WH, Mangasarian OL: Nuclear feature extraction for breast tumor diagnosis. IS&T\/SPIE 1999 International Symposium on Electrical Imaging: Science and Technology, Vol. 1905, pp 861\u201370, 1993","DOI":"10.1117\/12.148698"},{"key":"9298_CR43","unstructured":"Naik S, Doyle S, Feldman M, Tomaszewski J, Madabhushi A: Gland segmentation and computerized gleason grading of prostate histology by integrating low-, high-level and domain specific information. The Second International Workshop on Microscopic Image Analysis with Applications in Biology, 2007"},{"key":"9298_CR44","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1109\/72.788646","volume":"10","author":"O Chapelle","year":"1999","unstructured":"Chapelle O, Haffner P, Vapnik V: Support vector machines for histogram-based image segmentation. IEEE Transact Neural Network 10:1055\u20131064, 1999","journal-title":"IEEE Transact Neural Network"},{"key":"9298_CR45","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1109\/TCBB.2008.36","volume":"5","author":"G Lee","year":"2008","unstructured":"Lee G, Rodriguez C, Madabhushi A: Investigating the efficacy on nonlinear dimensionality reduction schemes in classifying gene and protein expression studies. IEEE\/ACM Transact Comput Biol Bioinform 5:368\u2013384, 2008","journal-title":"IEEE\/ACM Transact Comput Biol Bioinform"},{"issue":"3","key":"9298_CR46","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V: Support-vector networks. Mach Learn 20(3):273\u2013297, 1995","journal-title":"Mach Learn"},{"key":"9298_CR47","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y Freund","year":"1997","unstructured":"Freund Y, Schapire RE: A decision-theoretic generalization of on-line learning and an application to boosting. J Comput Syst Sci 55:119\u2013139, 1997","journal-title":"J Comput Syst Sci"},{"key":"9298_CR48","doi-asserted-by":"crossref","unstructured":"Tu Z: Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering. Proceedings of the Tenth IEEE International Conference on Computer Vision, Vol. 2, pp 1589\u20131596, 2005","DOI":"10.1109\/ICCV.2005.194"},{"key":"9298_CR49","doi-asserted-by":"crossref","first-page":"1076","DOI":"10.1118\/1.1695652","volume":"31","author":"W Chen","year":"2004","unstructured":"Chen W, Giger M, Lan L, Bick U: Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics. Med Phys 31:1076\u20131082, 2004","journal-title":"Med Phys"},{"key":"9298_CR50","doi-asserted-by":"crossref","unstructured":"Unay D, Ekin A, Cetin M, Jasinschi R, Ercil A: Robustness of local binary patterns in brain MR image analysis. Proceedings of the 29th Annual International Conference of the IEEE EMBS, 2098\u20132101, 2007","DOI":"10.1109\/IEMBS.2007.4352735"}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-010-9298-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10278-010-9298-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-010-9298-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T08:41:43Z","timestamp":1740127303000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10278-010-9298-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,5,28]]},"references-count":50,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2011,6]]}},"alternative-id":["9298"],"URL":"https:\/\/doi.org\/10.1007\/s10278-010-9298-1","relation":{},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"value":"0897-1889","type":"print"},{"value":"1618-727X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,5,28]]}}}