{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T18:37:04Z","timestamp":1764700624851},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319609638"},{"type":"electronic","value":"9783319609645"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-60964-5_70","type":"book-chapter","created":{"date-parts":[[2017,6,21]],"date-time":"2017-06-21T10:28:53Z","timestamp":1498040933000},"page":"804-814","source":"Crossref","is-referenced-by-count":4,"title":["New Disagreement Metrics Incorporating Spatial Detail \u2013 Applications to Lung Imaging"],"prefix":"10.1007","author":[{"given":"Alberto M.","family":"Biancardi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jim M.","family":"Wild","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,22]]},"reference":[{"key":"70_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1007\/978-3-642-33454-2_9","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2012","author":"R Cuingnet","year":"2012","unstructured":"Cuingnet, R., Prevost, R., Lesage, D., Cohen, L.D., Mory, B., Ardon, R.: Automatic detection and segmentation of kidneys in 3D CT images using random forests. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012. LNCS, vol. 7512, pp. 66\u201374. Springer, Heidelberg (2012). doi:\n10.1007\/978-3-642-33454-2_9"},{"issue":"6","key":"70_CR2","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1002\/hipo.20615","volume":"19","author":"K Leemput Van","year":"2009","unstructured":"Van Leemput, K., Bakkour, A., Benner, T., Wiggins, G., Wald, L.L., Augustinack, J., Dickerson, B.C., Golland, P., Fischl, B.: Automated segmentation of hippocampal subfields from ultra-high resolution in vivo MRI. Hippocampus 19(6), 549\u2013557 (2009)","journal-title":"Hippocampus"},{"issue":"2","key":"70_CR3","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1109\/TMI.2011.2171357","volume":"31","author":"S Sun","year":"2012","unstructured":"Sun, S., Bauer, C., Beichel, R.: Automated 3-D segmentation of lungs with lung cancer in CT data using a novel robust active shape model approach. IEEE Trans. Med. Imaging 31(2), 449\u2013460 (2012)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"8","key":"70_CR4","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.1109\/TMI.2015.2389334","volume":"34","author":"R Korez","year":"2015","unstructured":"Korez, R., Ibragimov, B., Likar, B., Pernu\u0161, F., Vrtovec, T.: A framework for automated spine and vertebrae interpolation-based detection and model-based segmentation. IEEE Trans. Med. Imaging 34(8), 1649\u20131662 (2015)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"70_CR5","unstructured":"Johnson, H.J., McCormick, M.M., Ib\u00e1\u00f1ez, L.: The Insight Software Consortium (2017). The ITK Software Guide. \nhttp:\/\/itk.org\/ItkSoftwareGuide.pdf"},{"key":"70_CR6","doi-asserted-by":"crossref","first-page":"415","DOI":"10.4086\/toc.2012.v008a019","volume":"8","author":"PF Felzenszwalb","year":"2012","unstructured":"Felzenszwalb, P.F., Huttenlocher, D.P.: Distance transforms of sampled functions. Theory Comput. 8, 415\u2013428 (2012)","journal-title":"Theory Comput."},{"issue":"2","key":"70_CR7","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1109\/TPAMI.2003.1177156","volume":"25","author":"CR Maurer","year":"2003","unstructured":"Maurer, C.R., Qi, R., Raghavan, V.: A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions. IEEE Trans. Pattern Anal. Mach. Intell. 25(2), 265\u2013270 (2003)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"70_CR8","doi-asserted-by":"crossref","first-page":"1092","DOI":"10.1109\/TIP.2004.828433","volume":"13","author":"P Villegas","year":"2004","unstructured":"Villegas, P., Marichal, X.: Perceptually-weighted evaluation criteria for segmentation masks in video sequences. IEEE Trans. Image Process. 13(8), 1092\u20131103 (2004)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"70_CR9","doi-asserted-by":"crossref","first-page":"1953","DOI":"10.1007\/s00138-014-0625-2","volume":"25","author":"Y Gavet","year":"2014","unstructured":"Gavet, Y., Fernandes, M., Debayle, J., Pinoli, J.C.: Dissimilarity criteria and their comparison for quantitative evaluation of image segmentation: application to human retina vessels. Mach. Vis. Appl. 25(8), 1953\u20131966 (2014)","journal-title":"Mach. Vis. Appl."},{"issue":"1","key":"70_CR10","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybernet. 9(1), 62\u201366 (1979)","journal-title":"IEEE Trans. Syst. Man Cybernet."},{"issue":"5","key":"70_CR11","first-page":"713","volume":"17","author":"PS Liao","year":"2001","unstructured":"Liao, P.S., Chen, T.S., Chung, P.C.: A fast algorithm for multilevel thresholding. J. Inf. Sci. Eng. 17(5), 713\u2013727 (2001)","journal-title":"J. Inf. Sci. Eng."},{"key":"70_CR12","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1109\/42.52980","volume":"9","author":"SP Raya","year":"1990","unstructured":"Raya, S.P., Udupa, J.K.: Shape-based interpolation of multidimensional objects. IEEE Trans. Med. Imaging 9, 32\u201342 (1990)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"8","key":"70_CR13","doi-asserted-by":"crossref","first-page":"2022","DOI":"10.1109\/TBME.2008.921158","volume":"55","author":"AB Albu","year":"2008","unstructured":"Albu, A.B., Beugeling, T., Laurendeau, D.: A morphology-based approach for interslice interpolation of anatomical slices from volumetric images. IEEE Trans. Biomed. Eng. 55(8), 2022\u20132038 (2008)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"70_CR14","unstructured":"Zukic, D., Vicory, J., McCormick, M., Wisse, L.E., Gerig, G., Yushkevich, P., Aylward, S.: nD morphological contour interpolation. Insight J. (2016). \nhttp:\/\/hdl.handle.net\/10380\/3563"},{"issue":"3","key":"70_CR15","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","volume":"31","author":"PA Yushkevich","year":"2006","unstructured":"Yushkevich, P.A., Piven, J., Cody Hazlett, H., Gimpel Smith, R., Ho, S., Gee, J.C., Gerig, G.: User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31(3), 1116\u20131128 (2006)","journal-title":"Neuroimage"},{"issue":"1","key":"70_CR16","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1186\/s12880-015-0068-x","volume":"15","author":"AA Taha","year":"2015","unstructured":"Taha, A.A., Hanbury, A.: Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. BMC Med. Imaging 15(1), 29 (2015)","journal-title":"BMC Med. Imaging"}],"container-title":["Communications in Computer and Information Science","Medical Image Understanding and Analysis"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-60964-5_70","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,21]],"date-time":"2017-06-21T10:55:03Z","timestamp":1498042503000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-60964-5_70"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319609638","9783319609645"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-60964-5_70","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}