{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T06:25:54Z","timestamp":1759991154999},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"21","license":[{"start":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T00:00:00Z","timestamp":1661472000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T00:00:00Z","timestamp":1661472000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1007\/s00500-022-07427-8","type":"journal-article","created":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T09:02:41Z","timestamp":1661504561000},"page":"11599-11610","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Visualization of occipital lobe and zygomatic arch of brain region through non-linear perspective projection using DCO algorithm"],"prefix":"10.1007","volume":"26","author":[{"given":"R.","family":"Partheepan","sequence":"first","affiliation":[]},{"given":"J. Raja Paul","family":"Perinbam","sequence":"additional","affiliation":[]},{"given":"M.","family":"Krishnamurthy","sequence":"additional","affiliation":[]},{"given":"N. R.","family":"Shanker","sequence":"additional","affiliation":[]},{"given":"S. Krishna","family":"Kumari","sequence":"additional","affiliation":[]},{"given":"B.","family":"Chinthamani","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,8,26]]},"reference":[{"key":"7427_CR1","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1049\/iet-ipr.2009.0110","volume":"6","author":"MAH Amindavar","year":"2012","unstructured":"Amindavar MAH (2012) Wavelet domain Bayesian processor for speckle removal in medical ultrasound images. IET Image Process 6:580\u2013588","journal-title":"IET Image Process"},{"issue":"1","key":"7427_CR2","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1109\/JBHI.2013.2257820","volume":"18","author":"DR Chittajallu","year":"2014","unstructured":"Chittajallu DR, Paragios N, Kakadiaris IA (2014) An explicit shape-constrained MRF-based contour evolution method for 2-D medical image segmentation. IEEE J Biomed Heal Inf 18(1):120\u2013129","journal-title":"IEEE J Biomed Heal Inf"},{"issue":"10","key":"7427_CR3","doi-asserted-by":"publisher","first-page":"3403","DOI":"10.3390\/app10103403","volume":"10","author":"M Dadkhah","year":"2020","unstructured":"Dadkhah M, Kamgar R, Heidarzadeh H, Jakubczyk-Ga\u0142czy\u0144ska A, Jankowski R (2020) Improvement of performance level of steel moment-resisting frames using tuned mass damper system. Appl Sci 10(10):3403","journal-title":"Appl Sci"},{"issue":"1","key":"7427_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s42452-021-04141-2","volume":"3","author":"M Dadkhah","year":"2021","unstructured":"Dadkhah M, Kamgar R, Heidarzadeh H (2021) Improving the nonlinear seismic performance of steel moment-resisting frames with minimizing the ductility damage index. SN Appl Sci 3(1):1\u20134","journal-title":"SN Appl Sci"},{"issue":"8","key":"7427_CR5","doi-asserted-by":"publisher","first-page":"592","DOI":"10.1049\/el.2015.3959","volume":"52","author":"T Doshi","year":"2016","unstructured":"Doshi T et al (2016) Combining interpolation and 3D level set method ( I + 3DLSM ) for medical image segmentation. Electron Lett 52(8):592\u2013594","journal-title":"Electron Lett"},{"issue":"11","key":"7427_CR6","doi-asserted-by":"publisher","first-page":"3927","DOI":"10.1109\/TIP.2015.2451957","volume":"24","author":"Y Duan","year":"2015","unstructured":"Duan Y et al (2015) The L0 regularized mumford \u2013 shah model for bias correction and segmentation of medical images. IEEE Trans Image Process 24(11):3927\u20133938","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"7427_CR7","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1109\/TC.2014.2315652","volume":"64","author":"S Franchini","year":"2015","unstructured":"Franchini S et al (2015) ConformalALU: a conformal geometric algebra coprocessor for medical image processing. IEEE Trans Comput 64(4):955\u2013970","journal-title":"IEEE Trans Comput"},{"issue":"4","key":"7427_CR8","first-page":"463","volume":"37","author":"R Kamgar","year":"2020","unstructured":"Kamgar R, Rahgozar P (2020) Optimum location for the belt truss system for minimum roof displacement of steel buildings subjected to critical excitation. Steel Compos Struct 37(4):463\u2013479","journal-title":"Steel Compos Struct"},{"issue":"11","key":"7427_CR9","doi-asserted-by":"publisher","first-page":"2127","DOI":"10.1109\/TMI.2013.2274734","volume":"32","author":"P Karasev","year":"2013","unstructured":"Karasev P, Kolesov I, Fritscher K, Vela P, Mitchell P, Tannenbaum A (2013) Interactive medical image segmentation using PDE control of active contours. IEEE Trans Med Imaging 32(11):2127\u20132139","journal-title":"IEEE Trans Med Imaging"},{"issue":"4","key":"7427_CR10","doi-asserted-by":"publisher","first-page":"1979","DOI":"10.1109\/TIP.2017.2666042","volume":"26","author":"A Khadidos","year":"2017","unstructured":"Khadidos A, Sanchez V, Li C (2017) Weighted level set evolution based on local edge features for medical image segmentation. IEEE Trans Image Process 26(4):1979\u20131991","journal-title":"IEEE Trans Image Process"},{"issue":"10","key":"7427_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TUFFC.2017.2737948","volume":"64","author":"J Kuo","year":"2017","unstructured":"Kuo J, Mamou J, Wang Y, Saegusa-beecroft E, Machi J, Feleppa EJ (2017) Segmentation of 3D 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):1\u201312","journal-title":"IEEE Trans Ultrason Ferroelectr Freq Control"},{"issue":"1","key":"7427_CR12","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1109\/TBME.2014.2344660","volume":"62","author":"C Li","year":"2015","unstructured":"Li C, Wang X, Eberl S, Fulham M, Yin Y, Feng DD (2015) Supervised variational model with statistical inference and its application in medical image segmentation. IEEE Trans Biomed Eng 62(1):196\u2013207","journal-title":"IEEE Trans Biomed Eng"},{"issue":"7","key":"7427_CR13","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1049\/iet-ipr.2016.0988","volume":"11","author":"H Liu","year":"2017","unstructured":"Liu H et al (2017) Label fusion method based on sparse patch representation for the brain MRI image segmentation. IET Image Process Res 11(7):502\u2013511","journal-title":"IET Image Process Res"},{"issue":"5","key":"7427_CR14","doi-asserted-by":"publisher","first-page":"1240","DOI":"10.1109\/TMI.2016.2538465","volume":"35","author":"S Pereira","year":"2016","unstructured":"Pereira S, Pinto A, Alves V, Silva CA (2016) Brain tumor segmentation using convolutional neural networks in MRI images. IEEE Trans Onmed Imaging 35(5):1240\u20131251","journal-title":"IEEE Trans Onmed Imaging"},{"issue":"2","key":"7427_CR15","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1109\/LSP.2015.2508039","volume":"23","author":"A Pratondo","year":"2016","unstructured":"Pratondo A, Chui C, Ong S (2016) Robust edge-stop functions for edge-based active contour models in medical image segmentation. IEEE Signal Process Lett 23(2):222\u2013226","journal-title":"IEEE Signal Process Lett"},{"key":"7427_CR16","first-page":"4","volume":"24","author":"GUO Qi","year":"2015","unstructured":"Qi GUO, Long W, Shuting S (2015) Multiple-channel local binary fitting model for medical image segmentation\u2217. Chin J Electron 24:4","journal-title":"Chin J Electron"},{"key":"7427_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/15376494.2021.1939468","volume":"1","author":"F Rahmani","year":"2021","unstructured":"Rahmani F, Kamgar R, Rahgozar R (2021) Optimum material distribution of porous functionally graded plates using carrera unified formulation based on isogeometric analysis. Mech Adv Mater Struct 1:1\u20135","journal-title":"Mech Adv Mater Struct"},{"issue":"2","key":"7427_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s41062-021-00473-5","volume":"6","author":"M Salimi","year":"2021","unstructured":"Salimi M, Kamgar R, Heidarzadeh H (2021) An evaluation of the advantages of friction TMD over conventional TMD. Innov Infrastruct Solut 6(2):1\u201312","journal-title":"Innov Infrastruct Solut"},{"issue":"6","key":"7427_CR19","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1109\/TITB.2008.926395","volume":"12","author":"J Tian","year":"2008","unstructured":"Tian J, Member S, Xue J, Dai Y, Chen J, Zheng J (2008) A novel software platform for medical image processing and analyzing. IEEE Trans Inf Technol Biomed 12(6):800\u2013812","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"12","key":"7427_CR20","doi-asserted-by":"publisher","first-page":"2537","DOI":"10.1109\/TVCG.2015.2501813","volume":"22","author":"T Von Landesberger","year":"2015","unstructured":"Von Landesberger T, Basgier D, Becker M (2015) Comparative local quality assessment of 3D medical image segmentations with focus on statistical shape model-based algorithms. IEEE Trans vis Comput Graph 22(12):2537\u20132549","journal-title":"IEEE Trans vis Comput Graph"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-022-07427-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-022-07427-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-022-07427-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T06:17:42Z","timestamp":1664518662000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-022-07427-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,26]]},"references-count":20,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["7427"],"URL":"https:\/\/doi.org\/10.1007\/s00500-022-07427-8","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,26]]},"assertion":[{"value":"17 December 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 August 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures were in accordance with the 1964 Helsinki Declaration (and its amendments). No approval by ethical committee or institutional review board was required.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}