{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T04:25:32Z","timestamp":1759206332810,"version":"3.37.3"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2017,7,31]],"date-time":"2017-07-31T00:00:00Z","timestamp":1501459200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Nat Comput"],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1007\/s11047-017-9636-z","type":"journal-article","created":{"date-parts":[[2017,7,31]],"date-time":"2017-07-31T09:00:04Z","timestamp":1501491604000},"page":"521-536","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model"],"prefix":"10.1007","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3341-5483","authenticated-orcid":false,"given":"Leonardo","family":"Rundo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carmelo","family":"Militello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giorgio","family":"Russo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salvatore","family":"Vitabile","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria Carla","family":"Gilardi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giancarlo","family":"Mauri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,31]]},"reference":[{"issue":"1\u20134","key":"9636_CR1","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1159\/000099863","volume":"69","author":"JR Adler Jr","year":"1998","unstructured":"Adler JR Jr, Chang SD, Murphy MJ, Doty J, Geis P, Hancock SL (1998) The Cyberknife: a frameless robotic system for radiosurgery. Stereotact Funct Neurosurg 69(1\u20134):124\u2013128. doi:\n                        10.1159\/000099863","journal-title":"Stereotact Funct Neurosurg"},{"issue":"1","key":"9636_CR2","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1002\/jmri.22009","volume":"31","author":"RD Ambrosini","year":"2010","unstructured":"Ambrosini RD, Wang P, O\u2019Dell WG (2010) Computer-aided detection of metastatic brain tumors using automated three-dimensional template matching. J Magn Reson Imaging 31(1):85\u201393. doi:\n                        10.1002\/jmri.22009","journal-title":"J Magn Reson Imaging"},{"issue":"4","key":"9636_CR3","doi-asserted-by":"publisher","first-page":"262","DOI":"10.2174\/157340507782446241","volume":"3","author":"ED Angelini","year":"2007","unstructured":"Angelini ED, Clatz O, Mandonnet E, Konukoglu E, Capelle L, Duffau H (2007) Glioma dynamics and computational models: a review of segmentation, registration, and in silico growth algorithms and their clinical applications. Curr Med Imaging Rev 3(4):262\u2013276. doi:\n                        10.2174\/157340507782446241","journal-title":"Curr Med Imaging Rev"},{"issue":"1","key":"9636_CR4","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/j.ijrobp.2013.04.049","volume":"87","author":"H Aslian","year":"2013","unstructured":"Aslian H, Sadeghi M, Mahdavi SR, Babapour Mofrad F, Astarakee M, Khaledi N, Fadavi P (2013) Magnetic resonance imaging-based target volume delineation in radiation therapy treatment planning for brain tumors using localized region-based active contour. Int J Radiat Oncol Biol Phys 87(1):195\u2013201. doi:\n                        10.1016\/j.ijrobp.2013.04.049","journal-title":"Int J Radiat Oncol Biol Phys"},{"issue":"5","key":"9636_CR5","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1016\/S0167-8191(00)00076-4","volume":"27","author":"S Bandini","year":"2001","unstructured":"Bandini S, Mauri G, Serra R (2001) Cellular automata: from a theoretical parallel computational model to its applications to complex systems. Parallel Comput 27(5):539\u2013553. doi:\n                        10.1016\/S0167-8191(00)00076-4","journal-title":"Parallel Comput"},{"doi-asserted-by":"publisher","unstructured":"Bauer S, Nolte LP, Reyes M (2011) Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization. In: Medical image computing and computer-assisted intervention (MICCAI) 2011. LNCS, vol 6893, pp 354\u2013361. doi: \n                        10.1007\/978-3-642-23626-6_44","key":"9636_CR6","DOI":"10.1007\/978-3-642-23626-6_44"},{"issue":"845","key":"9636_CR7","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1259\/bjr.71.845.9691900","volume":"71","author":"AW Beavis","year":"1998","unstructured":"Beavis AW, Gibbs P, Dealey RA, Whitton VJ (1998) Radiotherapy treatment planning of brain tumours using MRI alone. Br J Radiol 71(845):544\u2013548. doi:\n                        10.1259\/bjr.71.845.9691900","journal-title":"Br J Radiol"},{"key":"9636_CR8","first-page":"8790","volume":"16","author":"R Bellman","year":"1956","unstructured":"Bellman R (1956) On a routing problem. Q Appl Math 16:8790","journal-title":"Q Appl Math"},{"issue":"2","key":"9636_CR9","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/0098-3004(84)90020-7","volume":"10","author":"JC Bezdek","year":"1984","unstructured":"Bezdek JC, Ehrlich R, Full W (1984) FCM: the fuzzy c-means clustering algorithm. Comput Geosci 10(2):191\u2013203. doi:\n                        10.1016\/0098-3004(84)90020-7","journal-title":"Comput Geosci"},{"doi-asserted-by":"publisher","unstructured":"Boykov YY, Jolly MP (2001) Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images. In: Eighth IEEE international conference on computer vision (ICCV) 2001, Vancouver, BC, vol 1, pp 105\u2013112. doi: \n                        10.1109\/ICCV.2001.937505","key":"9636_CR10","DOI":"10.1109\/ICCV.2001.937505"},{"issue":"11","key":"9636_CR11","doi-asserted-by":"publisher","first-page":"1222","DOI":"10.1109\/34.969114","volume":"23","author":"YY Boykov","year":"2001","unstructured":"Boykov YY, Veksler O, Zabih R (2001) Fast approximate energy minimization via graph cuts. IEEE Trans Pattern Anal Mach Intell 23(11):1222\u20131239. doi:\n                        10.1109\/34.969114","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"9636_CR12","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/83.902291","volume":"10","author":"TF Chan","year":"2001","unstructured":"Chan TF, Vese LA (2001) Active contours without edges. IEEE Trans Image Process 10(2):266\u2013277. doi:\n                        10.1109\/83.902291","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"9636_CR13","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1097\/00006123-200301000-00018","volume":"52","author":"SD Chang","year":"2003","unstructured":"Chang SD, Main W, Martin DP, Gibbs IC, Heilbrun MP (2003) An analysis of the accuracy of the Cyberknife: a robotic frameless stereotactic radiosurgical system. Neurosurgery 52(1):140\u2013147. doi:\n                        10.1097\/00006123-200301000-00018","journal-title":"Neurosurgery"},{"doi-asserted-by":"publisher","unstructured":"Chen C, Abdelnour-Nocera J, Wells S, Pan N (2009) Usability practice in medical imaging application development. In: HCI and usability for e-inclusion. LNCS, vol 5889, pp 405\u2013415. doi: \n                        10.1007\/978-3-642-10308-7_29","key":"9636_CR14","DOI":"10.1007\/978-3-642-10308-7_29"},{"issue":"6","key":"9636_CR15","doi-asserted-by":"publisher","first-page":"899","DOI":"10.3171\/jns.2001.94.6.0899","volume":"94","author":"LS Chin","year":"2001","unstructured":"Chin LS, Ma L, DiBiase S (2001) Radiation necrosis following gamma knife surgery: a case-controlled comparison of treatment parameters and long-term clinical follow up. J Neurosurg 94(6):899\u2013904. doi:\n                        10.3171\/jns.2001.94.6.0899","journal-title":"J Neurosurg"},{"issue":"2","key":"9636_CR16","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.ejca.2008.10.026","volume":"45","author":"EA Eisenhauer","year":"2009","unstructured":"Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, Dancey J, Arbuck S, Gwyther S, Mooney M, Rubinstein L, Shankar L, Dodd L, Kaplan R, Lacombe D, Verweij J (2009) New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 45(2):228\u2013247. doi:\n                        10.1016\/j.ejca.2008.10.026","journal-title":"Eur J Cancer"},{"issue":"12","key":"9636_CR17","doi-asserted-by":"publisher","first-page":"R151","DOI":"10.1088\/0031-9155\/53\/12\/R01","volume":"53","author":"PM Evans","year":"2008","unstructured":"Evans PM (2008) Anatomical imaging for radiotherapy. Phys Med Biol 53(12):R151\u2013R191. doi:\n                        10.1088\/0031-9155\/53\/12\/R01","journal-title":"Phys Med Biol"},{"doi-asserted-by":"publisher","unstructured":"Fenster A, Chiu B (2005) Evaluation of segmentation algorithms for medical imaging. In: 27th annual international conference of the engineering in medicine and biology society, IEEE-EMBS 2005, pp 7186\u20137189. doi: \n                        10.1109\/IEMBS.2005.1616166","key":"9636_CR18","DOI":"10.1109\/IEMBS.2005.1616166"},{"issue":"3","key":"9636_CR19","doi-asserted-by":"crossref","first-page":"399","DOI":"10.4153\/CJM-1956-045-5","volume":"8","author":"LR Ford","year":"1956","unstructured":"Ford LR, Fulkerson DR (1956) Maximal flow through a network. Can J Math 8(3):399\u2013404","journal-title":"Can J Math"},{"doi-asserted-by":"publisher","unstructured":"Ghosh P, Antani SK, Long LR, Thoma GR (2011) Unsupervised Grow-Cut: cellular automata-based medical image segmentation. In: First IEEE international conference on healthcare informatics, imaging and systems biology (HISB) 2011, pp 40\u201347. doi: \n                        10.1109\/HISB.2011.44","key":"9636_CR20","DOI":"10.1109\/HISB.2011.44"},{"issue":"11","key":"9636_CR21","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\u20131783. doi:\n                        10.1109\/TPAMI.2006.233","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"9636_CR22","doi-asserted-by":"publisher","first-page":"672","DOI":"10.1109\/72.159057","volume":"3","author":"LO Hall","year":"1992","unstructured":"Hall LO, Bensaid AM, Clarke LP, Velthuizen RP, Silbiger MS, Bezdek JC (1992) A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. IEEE Trans Neural Netw 3(5):672\u2013682. doi:\n                        10.1109\/72.159057","journal-title":"IEEE Trans Neural Netw"},{"doi-asserted-by":"publisher","unstructured":"Hamamci A, Unal G, Kucuk N, Engin K (2010) Cellular automata segmentation of brain tumors on post contrast MR images. In: Medical image computing and computer-assisted intervention (MICCAI) 2010. LNCS, vol 6363, pp 137\u2013146. doi: \n                        10.1007\/978-3-642-15711-0_18","key":"9636_CR23","DOI":"10.1007\/978-3-642-15711-0_18"},{"issue":"3","key":"9636_CR24","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1109\/TMI.2011.2181857","volume":"31","author":"A Hamamci","year":"2012","unstructured":"Hamamci A, Kucuk N, Karaman K, Engin K, Unal G (2012) Tumor-Cut: segmentation of brain tumors on contrast enhanced MR images for radiosurgery applications. IEEE Trans Med Imaging 31(3):790\u2013804. doi:\n                        10.1109\/TMI.2011.2181857","journal-title":"IEEE Trans Med Imaging"},{"key":"9636_CR25","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.media.2016.05.004","volume":"35","author":"M Havaei","year":"2017","unstructured":"Havaei M, Davy A, Warde-Farley D, Biard A, Courville A, Bengio Y, Pal C, Jodoin PM, Larochelle H (2017) Brain tumor segmentation with deep neural networks. Med Image Anal 35:18\u201331. doi:\n                        10.1016\/j.media.2016.05.004","journal-title":"Med Image Anal"},{"issue":"3","key":"9636_CR26","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1148\/radiology.212.3.r99se22811","volume":"212","author":"BN Joe","year":"1999","unstructured":"Joe BN, Fukui MB, Meltzer CC, Huang QS, Day RS, Greer PJ, Bozik ME (1999) Brain tumor volume measurement: comparison of manual and semiautomated methods. Radiology 212(3):811\u2013816. doi:\n                        10.1148\/radiology.212.3.r99se22811","journal-title":"Radiology"},{"issue":"4","key":"9636_CR27","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1006\/jtbi.2000.2000","volume":"203","author":"AR Kansal","year":"2000","unstructured":"Kansal AR, Torquato S, Harsh GR, Chiocca EA, Deisboeck TS (2000) Simulated brain tumor growth dynamics using a three-dimensional cellular automaton. J Theor Biol 203(4):367\u2013382. doi:\n                        10.1006\/jtbi.2000.2000","journal-title":"J Theor Biol"},{"issue":"1\u20133","key":"9636_CR28","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.tcs.2004.11.021","volume":"334","author":"J Kari","year":"2005","unstructured":"Kari J (2005) Theory of cellular automata: a survey. Theor Comput Sci 334(1\u20133):3\u201333. doi:\n                        10.1016\/j.tcs.2004.11.021","journal-title":"Theor Comput Sci"},{"issue":"3","key":"9636_CR29","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s11548-009-0392-0","volume":"5","author":"C Kauffmann","year":"2010","unstructured":"Kauffmann C, Pich\u00e9 N (2010) Seeded ND medical image segmentation by cellular automaton on GPU. Int J Comput Assist Radiol Surg 5(3):251\u2013262. doi:\n                        10.1007\/s11548-009-0392-0","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"Special Issue 1","key":"9636_CR30","doi-asserted-by":"publisher","first-page":"S2","DOI":"10.1259\/bjr\/41321492","volume":"79","author":"VS Khoo","year":"2006","unstructured":"Khoo VS, Joon DL (2006) New developments in MRI for target volume delineation in radiotherapy. Br J Radiol 79(Special Issue 1):S2\u2013S15. doi:\n                        10.1259\/bjr\/41321492","journal-title":"Br J Radiol"},{"issue":"11","key":"9636_CR31","doi-asserted-by":"publisher","first-page":"2029","DOI":"10.1109\/TIP.2008.2004611","volume":"17","author":"S Lankton","year":"2008","unstructured":"Lankton S, Tannenbaum A (2008) Localizing region-based active contours. IEEE Trans Image Process 17(11):2029\u20132039. doi:\n                        10.1109\/TIP.2008.2004611","journal-title":"IEEE Trans Image Process"},{"issue":"7553","key":"9636_CR32","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature145","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436\u2013444. doi:\n                        10.1038\/nature145","journal-title":"Nature"},{"key":"9636_CR33","first-page":"229","volume":"99","author":"L Leksell","year":"1949","unstructured":"Leksell L (1949) A stereotaxic apparatus for intracerebral surgery. Acta Chir Scand 99:229\u2013233","journal-title":"Acta Chir Scand"},{"issue":"4","key":"9636_CR34","first-page":"316","volume":"102","author":"L Leksell","year":"1951","unstructured":"Leksell L (1951) The stereotaxic method and radiosurgery of the brain. Acta Chir Scand 102(4):316\u2013319","journal-title":"Acta Chir Scand"},{"key":"9636_CR35","doi-asserted-by":"publisher","first-page":"42","DOI":"10.3171\/jns.2002.97.supplement5.0542","volume":"97","author":"M Levivier","year":"2002","unstructured":"Levivier M, Wikler D Jr, Massager N, David P, Devriendt D, Lorenzoni J et al (2002) The integration of metabolic imaging in stereotactic procedures including radiosurgery: a review. J Neurosurg 97:42\u2013550. doi:\n                        10.3171\/jns.2002.97.supplement5.0542","journal-title":"J Neurosurg"},{"issue":"2","key":"9636_CR36","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1227\/00006123-199302000-00014","volume":"32","author":"G Luxton","year":"1993","unstructured":"Luxton G, Petrovich Z, Jozsef G, Nedzi LA, Apuzzo ML (1993) Stereotactic radiosurgery: principles and comparison of treatment methods. Neurosurg 32(2):241\u2013259. doi:\n                        10.1227\/00006123-199302000-00014","journal-title":"Neurosurg"},{"issue":"1","key":"9636_CR37","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.ijrobp.2004.01.026","volume":"59","author":"GP Mazzara","year":"2004","unstructured":"Mazzara GP, Velthuizen RP, Pearlman JL, Greenberg HM, Wagner H (2004) Brain tumor target volume determination for radiation treatment planning through automated MRI segmentation. Int J Radiat Oncol Biol Phys 59(1):300\u2013312. doi:\n                        10.1016\/j.ijrobp.2004.01.026","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"9636_CR38","doi-asserted-by":"publisher","first-page":"23376","DOI":"10.1038\/srep23376","volume":"6","author":"R Meier","year":"2016","unstructured":"Meier R, Knecht U, Loosli T, Bauer S, Slotboom J, Wiest R, Reyes M (2016) Clinical evaluation of a fully-automatic segmentation method for longitudinal brain tumor volumetry. Sci Rep 6:23376. doi:\n                        10.1038\/srep23376","journal-title":"Sci Rep"},{"issue":"3","key":"9636_CR39","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1002\/ima.22139","volume":"25","author":"C Militello","year":"2015","unstructured":"Militello C, Rundo L, Vitabile S, Russo G, Pisciotta P, Marletta F, Ippolito M, D\u2019Arrigo C, Midiri M, Gilardi MC (2015) Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised fuzzy c-means clustering. Int J Imaging Syst Technol 25(3):213\u2013225. doi:\n                        10.1002\/ima.22139","journal-title":"Int J Imaging Syst Technol"},{"issue":"5","key":"9636_CR40","doi-asserted-by":"publisher","first-page":"1139","DOI":"10.1016\/j.ijrobp.2012.02.032","volume":"84","author":"K Miwa","year":"2012","unstructured":"Miwa K, Matsuo M, Shinoda J, Aki T, Yonezawa S, Ito T, Asano Y, Yamada M, Yokoyama K, Yamada J, Yano H, Iwama T (2012) Clinical value of [11C]Methionine PET for stereotactic radiation therapy with intensity modulated radiation therapy to metastatic brain tumors. Int J Radiat Oncol Biol Phys 84(5):1139\u20131144. doi:\n                        10.1016\/j.ijrobp.2012.02.032","journal-title":"Int J Radiat Oncol Biol Phys"},{"issue":"3","key":"9636_CR41","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1227\/NEU.0b013e3182350893","volume":"70","author":"C Ohye","year":"2012","unstructured":"Ohye C, Higuchi Y, Shibazaki T, Hashimoto T, Koyama T, Hirai T et al (2012) Gamma Knife thalamotomy for Parkinson disease and essential tremor: a prospective multicenter study. Neurosurg 70(3):526\u2013536. doi:\n                        10.1227\/NEU.0b013e3182350893","journal-title":"Neurosurg"},{"key":"9636_CR42","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 gray-level histograms. IEEE Trans Syst Man Cybern 9:62\u201366. doi:\n                        10.1109\/TSMC.1979.4310076","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"3","key":"9636_CR43","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1006\/jtbi.2001.2385","volume":"213","author":"AA Patel","year":"2001","unstructured":"Patel AA, Gawlinski ET, Lemieux SK, Gatenby RA (2001) A cellular automaton model of early tumor growth and invasion: the effects of native tissue vascularity and increased anaerobic tumor metabolism. J Theor Biol 213(3):315\u2013331. doi:\n                        10.1006\/jtbi.2001.2385","journal-title":"J Theor Biol"},{"unstructured":"Popovici A, Popovici D (2002) cellular automata in image processing. In: 2002 Fifteenth international symposium on mathematical theory of networks and systems, vol. 1","key":"9636_CR44"},{"issue":"7","key":"9636_CR45","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1016\/j.cviu.2010.02.005","volume":"114","author":"PL Rosin","year":"2010","unstructured":"Rosin PL (2010) Image processing using 3-state cellular automata. Comput Vis Image Underst 114(7):790\u2013802. doi:\n                        10.1016\/j.cviu.2010.02.005","journal-title":"Comput Vis Image Underst"},{"issue":"3","key":"9636_CR46","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1145\/1186562.1015720","volume":"23","author":"C Rother","year":"2004","unstructured":"Rother C, Kolmogorov V, Blake A (2004) GrabCut: interactive foreground extraction using iterated graph cuts. ACM Trans Graph\u00a023(3):309\u2013314. doi:\n                        10.1145\/1186562.1015720","journal-title":"ACM Trans Graph"},{"doi-asserted-by":"publisher","unstructured":"Rundo L, Militello C, Russo G, Pisciotta P, Valastro LM, Sabini MG, Vitabile S, Gilardi MG, Mauri G (2016a) Neuro-radiosurgery treatments: MRI brain tumor seeded image segmentation based on a cellular automata model. In: El Yacoubi S, W\u0105s\u00a0J, Bandini S (eds) Cellular automata. Proceedings of the 12th international conference on cellular automata for research and industry-ACRI 2016, Fez, Morocco, September 5\u20138, 2016. LNCS, vol 9863, pp 323\u2013333. doi: \n                        10.1007\/978-3-319-44365-2_32","key":"9636_CR47","DOI":"10.1007\/978-3-319-44365-2_32"},{"doi-asserted-by":"publisher","unstructured":"Rundo L, Militello C, Vitabile S, Russo G, Pisciotta P, Marletta F, Ippolito M, D\u2019Arrigo C, Midiri M, Gilardi MC (2016b) Semi-automatic brain lesion segmentation in Gamma Knife treatments using an unsupervised fuzzy c-means clustering technique. In: Advances in neural networks: computational intelligence for ICT, smart innovation, systems and technologies, vol 54, pp 15\u201326. Springer. doi: \n                        10.1007\/978-3-319-33747-0_2","key":"9636_CR48","DOI":"10.1007\/978-3-319-33747-0_2"},{"doi-asserted-by":"publisher","unstructured":"Rundo L, Stefano A, Militello C, Russo G, Sabini MG, D\u2019Arrigo C, Marletta F, Ippolito M, Mauri G, Vitabile S, Gilardi MC (2017) A fully automatic approach for multimodal PET and MR image segmentation in Gamma Knife treatment planning. Comput Methods Programs Biomed 144:77\u201396. doi:\n                        10.1016\/j.cmpb.2017.03.011","key":"9636_CR49","DOI":"10.1016\/j.cmpb.2017.03.011"},{"issue":"5","key":"9636_CR50","doi-asserted-by":"publisher","first-page":"1343","DOI":"10.1148\/rg.325125002","volume":"32","author":"R Shah","year":"2012","unstructured":"Shah R, Vattoth S, Jacob R, Manzil FFP, O\u2019Malley JP, Borghei P, Patel BN, Cur\u00e9 JK (2012) Radiation necrosis in the brain: imaging features and differentiation from tumor recurrence. Radiographics 32(5):1343\u20131359. doi:\n                        10.1148\/rg.325125002","journal-title":"Radiographics"},{"doi-asserted-by":"publisher","unstructured":"Sinop AK, Grady L (2007) A seeded image segmentation framework unifying graph cuts and random walker which yields a new algorithm. In: 11th IEEE international conference on computer vision, ICCV 2007, pp 1\u20138. doi: \n                        10.1109\/ICCV.2007.4408927","key":"9636_CR51","DOI":"10.1109\/ICCV.2007.4408927"},{"key":"9636_CR52","isbn-type":"print","volume-title":"morphological image analysis: principles and applications","author":"P Soille","year":"2003","unstructured":"Soille P (2003) morphological image analysis: principles and applications, 2nd edn. Springer, New York. ISBN 3540429883","ISBN":"https:\/\/id.crossref.org\/isbn\/3540429883","edition":"2"},{"doi-asserted-by":"publisher","unstructured":"Stefano A, Vitabile S, Russo G, Ippolito M, Marletta F, D\u2019Arrigo C, D\u2019Urso D, Sabini MG, Gambino O, Pirrone R, Ardizzone E, Gilardi MC (2015) An automatic method for metabolic evaluation of Gamma Knife treatments. In: Proceedings of the 18th International conference image analysis and processing, ICIAP, Genoa, Italy, 7\u201311 September 2015, Part I. LNCS, vol 9279, pp 579\u2013589. doi: \n                        10.1007\/978-3-319-23231-7_52","key":"9636_CR53","DOI":"10.1007\/978-3-319-23231-7_52"},{"issue":"1","key":"9636_CR54","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1002\/ima.22154","volume":"26","author":"A Stefano","year":"2016","unstructured":"Stefano A, Vitabile S, Russo G, Ippolito M, Marletta F, D\u2019Arrigo C, D\u2019Urso D, Sabini MG, Gambino O, Pirrone R, Ardizzone E, Gilardi MC (2016) A fully automatic method for biological target volume segmentation of brain metastases. Int J Imaging Syst Technol 26(1):29\u201337. doi:\n                        10.1002\/ima.22154","journal-title":"Int J Imaging Syst Technol"},{"issue":"1","key":"9636_CR55","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12880-015-0068-x","volume":"15","author":"AA Taha","year":"2015","unstructured":"Taha AA, Hanbury A (2015) Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. BMC Med Imaging 15(1):1\u201328. doi:\n                        10.1186\/s12880-015-0068-x","journal-title":"BMC Med Imaging"},{"unstructured":"Vezhnevets V, Konouchine V (2005) GrowCut: interactive multi-label ND Image segmentation by cellular automata. In: Proceedings of the Graphicon, pp 150\u2013156","key":"9636_CR56"},{"unstructured":"von Neumann J (1966) Theory of self-reproducing automata (Edited and completed by Arthur Burks). Univ. of Illinois Press","key":"9636_CR57"},{"issue":"5","key":"9636_CR58","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1016\/j.media.2012.02.005","volume":"16","author":"S Wang","year":"2012","unstructured":"Wang S, Summers RM (2012) Machine learning and radiology. Med Image Anal 16(5):933\u2013951. doi:\n                        10.1016\/j.media.2012.02.005","journal-title":"Med Image Anal"},{"issue":"1","key":"9636_CR59","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.ejrad.2005.03.028","volume":"56","author":"K Xie","year":"2005","unstructured":"Xie K, Yang J, Zhang ZG, Zhu YM (2005) Semi-automated brain tumor and edema segmentation using MRI. Eur J Radiol 56(1):12\u201319. doi:\n                        10.1016\/j.ejrad.2005.03.028","journal-title":"Eur J Radiol"},{"key":"9636_CR60","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.tcs.2016.11.002","volume":"666","author":"DA Zaitsev","year":"2017","unstructured":"Zaitsev DA (2017) A generalized neighborhood for cellular automata. Theor Comput Sci 666:21\u201335. doi:\n                        10.1016\/j.tcs.2016.11.002","journal-title":"Theor Comput Sci"},{"doi-asserted-by":"publisher","unstructured":"Zhang YJ (2001) A review of recent evaluation methods for image segmentation. In: Proceedings of the Sixth IEEE international symposium on signal processing and its applications, ISSPA 2001, vol 1, pp 148\u2013151. doi: \n                        10.1109\/ISSPA.2001.949797","key":"9636_CR61","DOI":"10.1109\/ISSPA.2001.949797"}],"container-title":["Natural Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11047-017-9636-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11047-017-9636-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11047-017-9636-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,18]],"date-time":"2018-08-18T12:59:38Z","timestamp":1534597178000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11047-017-9636-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,31]]},"references-count":61,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,9]]}},"alternative-id":["9636"],"URL":"https:\/\/doi.org\/10.1007\/s11047-017-9636-z","relation":{},"ISSN":["1567-7818","1572-9796"],"issn-type":[{"type":"print","value":"1567-7818"},{"type":"electronic","value":"1572-9796"}],"subject":[],"published":{"date-parts":[[2017,7,31]]}}}