{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T14:20:15Z","timestamp":1725891615417},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642336119"},{"type":"electronic","value":"9783642336126"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-33612-6_26","type":"book-chapter","created":{"date-parts":[[2012,8,28]],"date-time":"2012-08-28T14:52:31Z","timestamp":1346165551000},"page":"246-254","source":"Crossref","is-referenced-by-count":2,"title":["Delineation of Liver Tumors from CT Scans Using Spectral Clustering with Out-of-Sample Extension and Multi-windowing"],"prefix":"10.1007","author":[{"given":"Jiayin","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Weimin","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Xiong","sequence":"additional","affiliation":[]},{"given":"Wenyu","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Sudhakar K.","family":"Venkatesh","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Tian","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"26_CR1","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1097\/01.rli.0000236907.81400.18","volume":"41","author":"B. Zhao","year":"2006","unstructured":"Zhao, B., Schwartz, L.H., Jiang, L., et al.: Shape-constraint region growing for delineation of hepatic metastases on contrast-enhanced computed tomograph scans. Invest. Radiol.\u00a041, 753\u2013762 (2006)","journal-title":"Invest. Radiol."},{"key":"26_CR2","doi-asserted-by":"publisher","first-page":"5869","DOI":"10.1118\/1.3013561","volume":"35","author":"S. Ray","year":"2008","unstructured":"Ray, S., Hagge, R., Gillen, M., et al.: Comparison of two-dimensional and three-dimensional iterative watershed segmentation methods in hepatic tumor volumetrics. Med. Phys.\u00a035, 5869\u20135881 (2008)","journal-title":"Med. Phys."},{"key":"26_CR3","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.media.2009.09.002","volume":"14","author":"D. Smeets","year":"2010","unstructured":"Smeets, D., Loeckx, D., Stijnen, B., et al.: Semi-automatic level set segmentation of liver tumors combining a spiral-scanning technique with supervised fuzzy pixel classification. Med. Image Anal.\u00a014, 13\u201320 (2010)","journal-title":"Med. Image Anal."},{"key":"26_CR4","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.media.2011.06.006","volume":"16","author":"Y. Hame","year":"2012","unstructured":"Hame, Y., Pollari, M.: Semi-automatic liver tumor segmentation with hidden Markov measure field model and non-parametric distribution estimation. Med. Image Anal.\u00a016, 140\u2013149 (2012)","journal-title":"Med. Image Anal."},{"key":"26_CR5","doi-asserted-by":"publisher","first-page":"9661","DOI":"10.1016\/j.eswa.2012.02.095","volume":"39","author":"B.N. Li","year":"2012","unstructured":"Li, B.N., Chui, C.K., Chang, S.K., Ong, S.H.: A new unified level set method for semi-automatic liver tumor segmentation on contrast-enhanced CT images. Expert Syst. Appl.\u00a039, 9661\u20139668 (2012)","journal-title":"Expert Syst. Appl."},{"key":"26_CR6","unstructured":"Ng, A.Y., Jordan, M.I., Weiss, Y.: On spectral clustering: analysis and an algorithm. In: Proc. NIPS, pp. 849\u2013856 (2001)"},{"key":"26_CR7","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"U. Luxburg von","year":"2007","unstructured":"von Luxburg, U.: A tutorial on spectral clustering. Stat. Comput.\u00a017, 395\u2013416 (2007)","journal-title":"Stat. Comput."},{"key":"26_CR8","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/TMI.2003.819929","volume":"23","author":"J. Carballido-Gamio","year":"2004","unstructured":"Carballido-Gamio, J., Belongie, S.J., Majumdar, S.: Normalized cuts in 3D for spinal MRI segmentation. IEEE Trans. Med. Imaging\u00a023, 36\u201344 (2004)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"26_CR9","unstructured":"Crum, W.R.: Spectral clustering and label fusion for 3D tissue classification: sensitivity and consistency analysis. In: Ann. BMVA 2009, pp. 1\u201312 (2009)"},{"key":"26_CR10","unstructured":"Yang, F., Grigsby, P.W.: Delineation of FDG-PET tumors from heterogeneous background using spectral clustering. Eur. J. Radiol. (in press)"},{"key":"26_CR11","unstructured":"Bengio, Y., Paiement, J., Vincent, P.: Out-of-sample extensions for LLE, isomap, MDS, eigenmaps and spectral clustering. In: Proc. NIPS, pp. 177\u2013184 (2003)"},{"key":"26_CR12","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1148\/radiology.210.3.r99mr07601","volume":"210","author":"W.M. Mayo-Smith","year":"1999","unstructured":"Mayo-Smith, W.M., Gupta, H., Ridlen, M.S., et al.: Detecting hepatic lesions: the added utility of CT liver window settings. Radiology\u00a0210, 601\u2013604 (1999)","journal-title":"Radiology"}],"container-title":["Lecture Notes in Computer Science","Abdominal Imaging. Computational and Clinical Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-33612-6_26.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T12:15:52Z","timestamp":1620130552000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-33612-6_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642336119","9783642336126"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-33612-6_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}