{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T04:08:55Z","timestamp":1751688535940,"version":"3.41.0"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"21","license":[{"start":{"date-parts":[[2018,5,10]],"date-time":"2018-05-10T00:00:00Z","timestamp":1525910400000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1007\/s11042-018-6076-4","type":"journal-article","created":{"date-parts":[[2018,5,10]],"date-time":"2018-05-10T06:59:24Z","timestamp":1525935564000},"page":"28905-28923","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Improved graph-cut segmentation for ultrasound liver cyst image"],"prefix":"10.1007","volume":"77","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0609-3610","authenticated-orcid":false,"given":"Haijiang","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhanhong","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinglin","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuejing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenhua","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,10]]},"reference":[{"key":"6076_CR1","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.compbiomed.2016.03.014","volume":"72","author":"F Abdolali","year":"2016","unstructured":"Abdolali F, Zoroofi RA, Otake Y, Sato Y (2016) Automatic segmentation of maxillofacial cysts in cone beam CT images. Comput Biol Med 72:108\u2013119","journal-title":"Comput Biol Med"},{"key":"6076_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compmedimag.2017.03.004","volume":"58","author":"M Bernier","year":"2017","unstructured":"Bernier M, Jodoin PM, Humbert O et al (2017) Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images. Comput Med Imaging Graph 58:1\u201312","journal-title":"Comput Med Imaging Graph"},{"key":"6076_CR3","doi-asserted-by":"crossref","unstructured":"Y. Boykov and M. Jolly. Interactive graph cuts for optimal boundary &region segmentation of objects in N-D images. Proc Int Conf Comput Vision, Vancouver, Canada, July, vol. I, p. 105\u2013112, 2001","DOI":"10.1109\/ICCV.2001.937505"},{"issue":"9","key":"6076_CR4","doi-asserted-by":"publisher","first-page":"1124","DOI":"10.1109\/TPAMI.2004.60","volume":"26","author":"Y Boykov","year":"2004","unstructured":"Boykov Y, Kolmogorov V (2004) An experimental comparison of min-cut\/max-flow algorithms for energy minimization in vision. IEEE Trans Pattern Anal Mach Intell 26(9):1124\u20131137","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"7","key":"6076_CR5","doi-asserted-by":"publisher","first-page":"e100972","DOI":"10.1371\/journal.pone.0100972","volume":"9","author":"A Ciurte","year":"2014","unstructured":"Ciurte A, Bresson X, Cuisenaire O et al (2014) Semi-supervised segmentation of ultrasound images based on patch representation and continuous min cut. Plos One 9(7):e100972","journal-title":"Plos One"},{"issue":"2","key":"6076_CR6","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1023\/B:VISI.0000022288.19776.77","volume":"59","author":"PF Felzenszwalb","year":"2004","unstructured":"Felzenszwalb PF, Huttenlocher DP (2004) Efficient graph-based image segmentation. Int J Comput Vision 59(2):167\u2013181","journal-title":"Int J Comput Vision"},{"issue":"11","key":"6076_CR7","doi-asserted-by":"publisher","first-page":"1768","DOI":"10.1109\/TPAMI.2006.233","volume":"28","author":"L Grady","year":"2006","unstructured":"Grady L (2006) Random walks for image segmentation. IEEE Trans Pattern Anal Mach Intell 28(11):1768\u20131733","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"6076_CR8","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1109\/TPAMI.2006.57","volume":"28","author":"L Grady","year":"2006","unstructured":"Grady L, Schwartz E (2006) Isoperimetric graph partitioning for image segmentation. IEEE Trans Pattern Anal Mach Intell 28(3):469\u2013475","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6076_CR9","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1016\/j.ultras.2011.08.011","volume":"52","author":"Q Huang","year":"2012","unstructured":"Huang Q, Lee S, Liu L, Lu M, Jin L, Li A (2012) A robust graph-based segmentation method for breast tumors in ultrasound images. Ultrasonics 52:266\u2013275","journal-title":"Ultrasonics"},{"key":"6076_CR10","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.neucom.2013.09.038","volume":"129","author":"Q Huang","year":"2014","unstructured":"Huang Q, Bai X, Li Y, Jin L, Li X (2014) Optimized graph-based segmentation for ultrasound images. Neurocomputing 129:216\u2013224","journal-title":"Neurocomputing"},{"issue":"12","key":"6076_CR11","doi-asserted-by":"publisher","first-page":"5854","DOI":"10.1109\/TIP.2015.2488902","volume":"24","author":"W Ju","year":"2015","unstructured":"Ju W, Xiang D, Zhang B et al (2015) Random walk and graph cut for co-segmentation of lung tumor on PET-CT images. IEEE Trans Image Process 24(12):5854\u20135867","journal-title":"IEEE Trans Image Process"},{"key":"6076_CR12","doi-asserted-by":"publisher","first-page":"1942","DOI":"10.1109\/ICNN.1995.488968","volume":"4","author":"J Kennedy","year":"1995","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. Proc IEEE Int Conf Neural Netw, Perth, Australia 4:1942\u20131948","journal-title":"Proc IEEE Int Conf Neural Netw, Perth, Australia"},{"key":"6076_CR13","doi-asserted-by":"crossref","unstructured":"Kiruthika V, Ramya MM (2014) Automatic segmentation of ovarian follicle using K-means clustering. Proc Int Conf Sign Image Process: 137\u2013141","DOI":"10.1109\/ICSIP.2014.27"},{"issue":"10","key":"6076_CR14","doi-asserted-by":"publisher","first-page":"1514","DOI":"10.1109\/TUFFC.2017.2737948","volume":"64","author":"J Kuo","year":"2017","unstructured":"Kuo J, Mamou J, Wang Y et al (2017) Segmentation of 3-D high-frequency ultrasound images of human lymph nodes using graph cut with energy functional adapted to local intensity distribution. IEEE Trans Ultrason Ferroelectr Freq Control 64(10):1514\u20131525","journal-title":"IEEE Trans Ultrason Ferroelectr Freq Control"},{"key":"6076_CR15","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/j.ins.2005.01.007","volume":"175","author":"WL Lee","year":"2005","unstructured":"Lee WL, Chen YC, Hsieh KS (2005) Unsupervised segmentation of ultrasonic liver images by multiresolution fractal feature vector. Inf Sci 175:177\u2013199","journal-title":"Inf Sci"},{"key":"6076_CR16","unstructured":"Li Y, Huang Q, Jin L (2012) A parameter-automatically-optimized graph-based segmentation method for breast tumors in ultrasound images. Proc 31st Chin Contrl Conf, July 25\u201327, Hefei, China: 4007\u20134011"},{"issue":"2","key":"6076_CR17","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s11548-016-1467-3","volume":"12","author":"F Lu","year":"2017","unstructured":"Lu F, Wu F, Hu P et al (2017) Automatic 3D liver location and segmentation via convolutional neural network and graph cut. Int J Comput Assist Radiol Surg 12(2):171\u2013182","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"6076_CR18","unstructured":"Mukherjee S, Huang X, Bhagalia RR (2017) Lung nodule segmentation using deep learned prior based graph cut, 2017 I.E. 14th International Symposium on Biomedical Imaging: 1205\u20131208"},{"issue":"1","key":"6076_CR19","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu N (1979) A threshold selection method from grey level histogram. IEEE Trans Syst Man Cybern 9(1):62\u201366","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"6076_CR20","doi-asserted-by":"crossref","unstructured":"Ozic MU, Ozbay Y, Baykan OK (2014) Detection of tumor with Otsu-PSO method on brain MR image, Sign Process Commun Appl Conf: 1999\u20132002","DOI":"10.1109\/SIU.2014.6830650"},{"issue":"5","key":"6076_CR21","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1007\/s11548-017-1571-z","volume":"12","author":"A Saito","year":"2017","unstructured":"Saito A, Nawano S, Shimizu A (2017) Fast approximation for joint optimization of segmentation, shape, and location priors, and its application in gallbladder segmentation. Int J Comput Assist Radiol Surg 12(5):743\u2013756","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"8","key":"6076_CR22","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell 22(8):888\u2013905","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6076_CR23","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.compbiomed.2013.10.029","volume":"44","author":"N Torbati","year":"2014","unstructured":"Torbati N, Ayatollahi A, Kermani A (2014) An efficient neural network based method for medical image segmentation. Comput Biol Med 44:76\u201387","journal-title":"Comput Biol Med"},{"key":"6076_CR24","first-page":"1","volume":"636","author":"Q Zhang","year":"2012","unstructured":"Zhang Q, Huang C, Li C, Yang L, Wang W (2012) Ultrasound image segmentation based on multi-scale fuzzy c-means and particle swarm optimization. IET Int Conf Info Sci Contrl Eng 636:1\u20135","journal-title":"IET Int Conf Info Sci Contrl Eng"},{"key":"6076_CR25","unstructured":"Zheng Q, Warner S, Tasian G, et al. (2017) A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images. arXiv preprint arXiv:1706.03372"},{"issue":"18","key":"6076_CR26","doi-asserted-by":"publisher","first-page":"10979","DOI":"10.1007\/s11042-015-2822-z","volume":"75","author":"H Zhu","year":"2016","unstructured":"Zhu H, Sheng J, Zhang F, Zhou J, Wang J (2016) Improved maximally stable extremal regions based method for the segmentation of ultrasonic liver images. Multimed Tools Appl 75(18):10979\u201310997","journal-title":"Multimed Tools Appl"},{"key":"6076_CR27","doi-asserted-by":"publisher","first-page":"8951","DOI":"10.1007\/s11042-016-3486-z","volume":"76","author":"H Zhu","year":"2017","unstructured":"Zhu H, Zhuang Z, Zhou J, Zhang F, Wang X, Wu Y (2017) Segmentation of liver cyst in ultrasound image based on adaptive threshold algorithm and particle swarm optimization. Multimed Tools Appl 76:8951\u20138968","journal-title":"Multimed Tools Appl"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-6076-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6076-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6076-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T12:09:35Z","timestamp":1751630975000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-6076-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,10]]},"references-count":27,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2018,11]]}},"alternative-id":["6076"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-6076-4","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2018,5,10]]},"assertion":[{"value":"7 September 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 March 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 April 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 May 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}