{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T03:28:24Z","timestamp":1790306904280,"version":"4.1.0"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,6,9]],"date-time":"2015-06-09T00:00:00Z","timestamp":1433808000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2016,2]]},"DOI":"10.1007\/s10278-015-9801-9","type":"journal-article","created":{"date-parts":[[2015,6,10]],"date-time":"2015-06-10T15:24:32Z","timestamp":1433949872000},"page":"86-103","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":61,"title":["A Segmentation Framework of Pulmonary Nodules in Lung CT Images"],"prefix":"10.1007","volume":"29","author":[{"given":"Sudipta","family":"Mukhopadhyay","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,6,9]]},"reference":[{"issue":"5","key":"9801_CR1","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1109\/TMI.2004.826358","volume":"23","author":"C Alberola-Lopez","year":"2004","unstructured":"Alberola-Lopez C, Mart\u00edn-Fern\u00e1ndez M, Ruiz-Alzola J. Comments on: A methodology for evaluation of boundary detection algorithms on medical images. IEEE Trans Med Imaging 2004;23(5):658\u2013660.","journal-title":"IEEE Trans Med Imaging"},{"issue":"2","key":"9801_CR2","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1118\/1.3528204","volume":"38","author":"SG Armato III","year":"2011","unstructured":"Armato III SG, McLennan G, Bidaut L, McNitt-Gray MF, Meyer CR, Reeves AP, Zhao B, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, MacMahon H, Beek EJR, Yankelevitz D, Biancardi AM, Bland PH, Brown MS, Engelmann RM, Laderach GE, Max D, Pais RC, Qing DPY, Roberts RY, Smith AR, Starkey A, Batra P, Caligiuri P, Farooqi A, Gladish GW, Jude CM, Munden RF, Petkovska I, Quint LE, Schwartz LH, Sundaram B, Dodd LE, Fenimore C, Gur D, Petrick N, Freymann J, Kirby J, Hughes B, Casteele AV, Gupte S, Sallam M, Heath MD, Kuhn MH, Dharaiya E, Burns R, Fryd DS, Salganicoff M, Anand V, Shreter U, Vastagh S, Croft BY, Clarke LP. The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans. Med Phys 2011;38 (2):915\u2013931.","journal-title":"Med Phys"},{"key":"9801_CR3","first-page":"41","volume":"1","author":"KA Byrd","year":"2007","unstructured":"Byrd KA, Zeng J, Chouikha M. A validation model for segmentation algorithms of digital mammography images. J Appl Sci Eng Technol 2007;1:41\u201350.","journal-title":"J Appl Sci Eng Technol"},{"issue":"5","key":"9801_CR4","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1109\/42.640755","volume":"16","author":"V Chalana","year":"1997","unstructured":"Chalana V, Kim Y. A methodology for evaluation of boundary detection algorithms on medical images. IEEE Trans Med Imaging 1997;16(5):642\u2013652.","journal-title":"IEEE Trans Med Imaging"},{"issue":"4","key":"9801_CR5","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1109\/TMI.2007.907555","volume":"27","author":"J Dehmeshki","year":"2008","unstructured":"Dehmeshki J, Amin H, Valdivieso M, Ye X. Segmentation of pulmonary nodules in thoracic CT scans: A region growing approach. IEEE Trans Med Imaging 2008;27(4):467\u2013480.","journal-title":"IEEE Trans Med Imaging"},{"issue":"12","key":"9801_CR6","doi-asserted-by":"crossref","first-page":"3418","DOI":"10.1109\/TBME.2011.2167621","volume":"58","author":"S Diciotti","year":"2011","unstructured":"Diciotti S, Lombardo S, Falchini M, Picozzi G, Mascalchi M. Automated segmentation refinement of small lung nodules in CT scans by local shape analysis. IEEE Trans Biomed Eng 2011;58(12):3418\u20133428.","journal-title":"IEEE Trans Biomed Eng"},{"issue":"1","key":"9801_CR7","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1109\/TITB.2007.899504","volume":"12","author":"S Diciotti","year":"2008","unstructured":"Diciotti S, Picozzi G, Falchini M, Mascalchi M, Villari N, Valli G. 3-D segmentation algorithm of small lung nodules in spiral CT images. IEEE Trans Inf Technol Biomed 2008;12(1):7\u201319.","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"9801_CR8","doi-asserted-by":"crossref","unstructured":"Henschke CI, Yankelevitz DF, Mirtcheva R, McGuinness G, McCauley D, 0lli S. Miettinen: CT screening for lung cancer: Frequency and significance of part-solid and nonsolid nodules. Am J Roentgenol 2002; 178(5):1053\u20131057.","DOI":"10.2214\/ajr.178.5.1781053"},{"issue":"9","key":"9801_CR9","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1109\/34.232073","volume":"15","author":"DP Huttenlocher","year":"1993","unstructured":"Huttenlocher DP, Klanderman GA, Rucklidge WJ. Comparing images using the hausdorff distance. IEEE Transactions on Pattern Analysis and Machine Intelligence 1993;15(9):850\u2013863.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"5","key":"9801_CR10","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.2214\/ajr.175.5.1751329","volume":"175","author":"HU Kauczor","year":"2000","unstructured":"Kauczor HU, Heitmann K, Heussel CP, Marwede D, Uthmann T, Thelen M. Automatic detection and quantification of ground-glass opacities on high-resolution CT using multiple neural networks: comparison with a density mask. Am J Roentgenol 2000;175(5):1329\u20131334.","journal-title":"Am J Roentgenol"},{"issue":"3","key":"9801_CR11","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1097\/01.rti.0000135973.65163.69","volume":"19","author":"JP Ko","year":"2004","unstructured":"Ko JP, Naidich DP. Computer-aided diagnosis and the evaluation of lung disease. J Thorac Imaging 2004; 19(3):136\u2013155.","journal-title":"J Thorac Imaging"},{"issue":"10","key":"9801_CR12","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1109\/TMI.2003.817785","volume":"22","author":"WJ Kostis","year":"2003","unstructured":"Kostis WJ, Reeves AP, Yankelevitz DF, Henschke CI. Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical ct images. IEEE Trans Med Imaging 2003;22(10):1259\u20131274.","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"9801_CR13","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.media.2010.08.005","volume":"15","author":"T Kubota","year":"2011","unstructured":"Kubota T, Jerebko AK, Dewan M, Salganicoff M, Krishnan A. Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models. Med Image Anal 2011;15(1):133\u2013154.","journal-title":"Med Image Anal"},{"issue":"4","key":"9801_CR14","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1109\/TMI.2006.871547","volume":"25","author":"JM Kuhnigk","year":"2006","unstructured":"Kuhnigk JM, Dicken V, Bornemann L, Bakai A, Wormanns D, Krass S, Peitgen HO. Morphological segmentation and partial volume analysis for volumetry of solid pulmonary lesions in thoracic CT scans. IEEE Trans Med Imaging 2006;25(4):417\u2013434.","journal-title":"IEEE Trans Med Imaging"},{"issue":"2","key":"9801_CR15","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/s00371-008-0210-7","volume":"25","author":"Z Li","year":"2009","unstructured":"Li Z, Ma L, Jin X, Zheng Z. A new feature-preserving mesh-smoothing algorithm. Vis Comput 2009; 25(2):139\u2013148.","journal-title":"Vis Comput"},{"issue":"12","key":"9801_CR16","doi-asserted-by":"crossref","first-page":"1464","DOI":"10.1016\/j.acra.2007.07.021","volume":"14","author":"MF McNitt-Gray","year":"2007","unstructured":"McNitt-Gray MF, Armato III SG, Meyer CR, Reeves AP, McLennan G, Pais RC, Freymann J, Brown MS, Engelmann RM, Bland PH, Laderach GE, Piker C, Guo J, Towfic Z, Qing PYD, Yankelevitz DF, Aberle DR, Beek EJR, MacMahon H, Kazerooni EA, Croft BY, Clarke LP. The lung image database consortium LIDC data collection process for nodule detection and annotation. Acad Radiol 2007;14(12):1464\u2013 1474.","journal-title":"Acad Radiol"},{"key":"9801_CR17","unstructured":"Moltz JH, Kuhnigk JM, Bornemann L, Peitgen H. Segmentation of juxtapleural lung nodules in ct scan based on ellipsoid approximation. First International Workshop on Pulmonary Image Processing, 2008."},{"issue":"7","key":"9801_CR18","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1109\/34.56205","volume":"12","author":"P Perona","year":"1989","unstructured":"Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 1989;12(7):629\u2013639.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"4","key":"9801_CR19","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1109\/TMI.2006.871548","volume":"25","author":"AP Reeves","year":"2006","unstructured":"Reeves AP, Chan AB, Yankelevitz DF, Henschke CI, Kressler B, Kostis WJ. On measuring the change in size of pulmonary nodules. IEEE Trans Med Imaging 2006;25(4):435\u2013450.","journal-title":"IEEE Trans Med Imaging"},{"issue":"8","key":"9801_CR20","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1016\/j.acra.2004.05.004","volume":"11","author":"BS Santos","year":"2004","unstructured":"Santos BS, Ferreira C, Silva JS, Silva A, Teixeira L. Quantitative evaluation of a pulmonary contour segmentation algorithm in x-ray computed tomography images 1. Acad Radiol 2004;11(8):868\u2013878.","journal-title":"Acad Radiol"},{"issue":"1","key":"9801_CR21","doi-asserted-by":"crossref","first-page":"11","DOI":"10.3322\/caac.21166","volume":"63","author":"R Siegel","year":"2013","unstructured":"Siegel R, Naishadham D, Jemal A. Cancer statistics, 2013. CA Cancer J Clin 2013;63(1):11\u201330.","journal-title":"CA Cancer J Clin"},{"key":"9801_CR22","doi-asserted-by":"crossref","unstructured":"Silva A, Silva JS, Santos BS, Ferreira C. Fast pulmonary contour extraction in x-ray CT images: a methodology and quality assessment. Medical Imaging 2001, 2001, pp 216\u2013224.","DOI":"10.1117\/12.428139"},{"issue":"5","key":"9801_CR23","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1109\/TITB.2012.2201949","volume":"16","author":"JS Silva","year":"2012","unstructured":"Silva JS, Santos JB, Roxo D, Martins P, Castela E, Martins R. Algorithm versus physicians variability evaluation in the cardiac chambers extraction. IEEE Trans Inf Technol Biomed 2012;16(5):835\u2013841.","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"9801_CR24","doi-asserted-by":"crossref","unstructured":"Tao Y, Lu L, Dewan M, Chen AY, Corso J, Xuan J, Salganicoff M, Krishnan A. Multi-level ground glass nodule detection and segmentation in ct lung images. Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2009, pp 715\u2013723. Springer; 2009.","DOI":"10.1007\/978-3-642-04271-3_87"},{"key":"9801_CR25","doi-asserted-by":"crossref","unstructured":"Zhou J, Chang S, Metaxas DN, Zhao B, Ginsberg MS, Schwartz LH. An automatic method for ground glass opacity nodule detection and segmentation from CT studies. Engineering in Medicine and Biology Society, EMBS\u201906, pp 3062\u20133065; 2006.","DOI":"10.1109\/IEMBS.2006.260285"}],"updated-by":[{"DOI":"10.1007\/s10278-015-9812-6","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2015,8,4]],"date-time":"2015-08-04T00:00:00Z","timestamp":1438646400000}}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-015-9801-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10278-015-9801-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-015-9801-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T12:30:12Z","timestamp":1566822612000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10278-015-9801-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6,9]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,2]]}},"alternative-id":["9801"],"URL":"https:\/\/doi.org\/10.1007\/s10278-015-9801-9","relation":{"correction":[{"id-type":"doi","id":"10.1007\/s10278-015-9812-6","asserted-by":"object"}]},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"value":"0897-1889","type":"print"},{"value":"1618-727X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,6,9]]}}}