{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T23:53:25Z","timestamp":1773532405149,"version":"3.50.1"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"18","license":[{"start":{"date-parts":[[2017,4,22]],"date-time":"2017-04-22T00:00:00Z","timestamp":1492819200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Federal Institute of Piau (IFPI)"},{"name":"Coordination for the Improvement of Higher Education Personnel (CAPES)"},{"name":"National Council for Scientic and Technological Development (CNPq)"},{"name":"Foundation for the Protection of Research and Scientic, Technological Development of the State of Maranh~ao (FAPEMA)"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1007\/s11042-017-4710-1","type":"journal-article","created":{"date-parts":[[2017,4,22]],"date-time":"2017-04-22T15:02:04Z","timestamp":1492873324000},"page":"19263-19289","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Automatic mass detection in mammography images using particle swarm optimization and functional diversity indexes"],"prefix":"10.1007","volume":"76","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1940-9773","authenticated-orcid":false,"given":"Otilio Paulo S.","family":"Neto","sequence":"first","affiliation":[]},{"given":"Arist\u00f3fanes C.","family":"Silva","sequence":"additional","affiliation":[]},{"given":"Anselmo C.","family":"Paiva","sequence":"additional","affiliation":[]},{"given":"Marcelo","family":"Gattass","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,4,22]]},"reference":[{"issue":"2","key":"4710_CR1","first-page":"78","volume":"2","author":"JSC Bose","year":"2010","unstructured":"Bose JSC, Karnan M, Sivakumar R (2010) Detection of masses in digital mammograms. Int J Comput Netw Secur 2(2):78","journal-title":"Int J Comput Netw Secur"},{"key":"4710_CR2","unstructured":"Boyle P, Levin B et al (2008) World cancer report 2008. IARC Press International Agency for Research on Cancer"},{"key":"4710_CR3","unstructured":"Braz JG (2014) Detec\u00e7\u00e3o de regi\u00f5es de massas em mamografias usando \u00edndices de diversidade, geoestat\u00edstica e geometria c\u00f4ncava. Ph.D. thesis, Universidade Federal do maranh\u00e3o, Programa de p\u00f3s-gradua\u00e7\u00e3o em Engenharia de Eletricidade s\u00e3o Luis - MA"},{"key":"4710_CR4","doi-asserted-by":"crossref","unstructured":"Chawla NV, Bowyer K, Hall LO, Kegelmeyer WP (2002) Smote: synthetic minority over-sampling technique. Journal of artificial intelligence research pp 321\u2013357","DOI":"10.1613\/jair.953"},{"key":"4710_CR5","doi-asserted-by":"crossref","unstructured":"Dong M, Lu X, Ma Y, Guo Y, Ma Y, Wang K (2015) An efficient approach for automated mass segmentation and classification in mammograms. Journal of digital imaging pp 1\u201313","DOI":"10.1007\/s10278-015-9778-4"},{"issue":"1","key":"4710_CR6","first-page":"97","volume":"19","author":"A Eleyan","year":"2011","unstructured":"Eleyan A, Demirel H (2011) Co-occurrence matrix and its statistical features as a new approach for face recognition. Turk J Electr Eng Comput Sci 19(1):97\u2013107","journal-title":"Turk J Electr Eng Comput Sci"},{"issue":"2","key":"4710_CR7","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1109\/TITB.2009.2036167","volume":"14","author":"X Gao","year":"2010","unstructured":"Gao X, Wang Y, Li X, Tao D (2010) On combining morphological component analysis and concentric morphology model for mammographic mass detection. IEEE Trans Inf Technol Biomed 14(2):266\u2013273","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"5","key":"4710_CR8","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1109\/5992.877391","volume":"2","author":"ML Giger","year":"2000","unstructured":"Giger ML (2000) Computer-aided diagnosis of breast lesions in medical images. Comput Sci Eng 2(5):39\u201345","journal-title":"Comput Sci Eng"},{"key":"4710_CR9","volume-title":"Processamento Digital de Imagens. 3a. ed","author":"R Gonzales","year":"2010","unstructured":"Gonzales R, Woods R (2010) Processamento Digital de Imagens. 3a. ed. Pearson Prentice Hall, S\u00e3o Paulo"},{"key":"4710_CR10","volume-title":"Digital image processing. 3a ed","author":"RC Gonzalez","year":"2007","unstructured":"Gonzalez RC, Woods RE (2007) Digital image processing. 3a ed. Prentice Hall Upper Saddle River, NJ"},{"key":"4710_CR11","unstructured":"Haralick RM, Shanmugam K et al (1973) Textural features for image classification. IEEE Transactions on systems, man, and cybernetics (6) pp 610\u2013621"},{"key":"4710_CR12","unstructured":"Heath M, Bowyer K, Kopans D, Moore R, Kegelmeyer P (2000) The digital database for screening mammography. In: Proceedings of the 5th international workshop on digital mammography, pp. 212\u2013218. Citeseer"},{"issue":"2","key":"4710_CR13","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1109\/TIM.2010.2051060","volume":"60","author":"K Hu","year":"2011","unstructured":"Hu K, Gao X, Li F (2011) Detection of suspicious lesions by adaptive thresholding based on multiresolution analysis in mammograms. IEEE Trans Instrum Meas 60(2):462\u2013472","journal-title":"IEEE Trans Instrum Meas"},{"key":"4710_CR14","unstructured":"INCA dSJAG (2015) Instituto Nacional de c\u00e2ncer jos\u00e9 Alencar Gomes da Silva. Dispon\u00edvel em: Acessado em: 05\/11\/2015. www2.inca.gov.br"},{"key":"4710_CR15","unstructured":"INCA INdC (2014) Estimativas de incid\u00eancia de c\u00e2ncer no brasil. rio de janeiro 2014"},{"key":"4710_CR16","doi-asserted-by":"crossref","unstructured":"Ke L, Mu NKY (2010) Mass computer-aided diagnosis method in mammogram based on texture features. In: IEEE. 3Rd international conference on biomedical engineering and informatics (BMEI). yantai, China, 2010. pp. v. 1, p. 354\u2013357","DOI":"10.1109\/BMEI.2010.5639515"},{"key":"4710_CR17","doi-asserted-by":"crossref","unstructured":"Kennedy J (2010) Particle swarm optimization. In: Encyclopedia of machine learning, pp 760\u2013766. Springer","DOI":"10.1007\/978-0-387-30164-8_630"},{"key":"4710_CR18","doi-asserted-by":"crossref","unstructured":"Liu X, Xu X, Liu J, Feng Z (2011) A new automatic method for mass detection in mammography with false positives reduction by supported vector machine. In: Biomedical engineering and informatics (BMEI), 2011 4th international conference on, vol. 1, pp 33\u201337. IEEE","DOI":"10.1109\/BMEI.2011.6098328"},{"issue":"7261","key":"4710_CR19","doi-asserted-by":"crossref","first-page":"624","DOI":"10.1136\/bmj.321.7261.624","volume":"321","author":"K Mcpherson","year":"2000","unstructured":"Mcpherson K, Steel C, Dixon J (2000) Breast cancer\u2014epidemiology, risk factors, and genetics. Bmj 321(7261):624\u2013628","journal-title":"Bmj"},{"key":"4710_CR20","unstructured":"Merwe DVD, Engelbrecht AP (2003) Data clustering using particle swarm optimization. In: Evolutionary computation, 2003. CEC\u201903. The 2003 congress on, vol. 1, pp 215\u2013220. IEEE"},{"issue":"285-296","key":"4710_CR21","first-page":"23","volume":"11","author":"N Otsu","year":"1975","unstructured":"Otsu N (1975) A threshold selection method from gray-level histograms. Automatica 11(285-296):23\u201327","journal-title":"Automatica"},{"issue":"6","key":"4710_CR22","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1111\/j.1461-0248.2006.00924.x","volume":"9","author":"EYOL Petch","year":"2006","unstructured":"Petch EYOL, Gaston KJ (2006) Functional diversity: back to basics and looking forward. Ecol Lett 9(6):741\u2013758","journal-title":"Ecol Lett"},{"issue":"5","key":"4710_CR23","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1016\/j.acra.2007.01.012","volume":"14","author":"W Qian","year":"2007","unstructured":"Qian W, Song D, Lei MRS, Eikman E (2007) Computeraided mass detection based on ipsilateral multiview mammograms. Acad Radiol 14(5):530\u2013538","journal-title":"Acad Radiol"},{"issue":"8","key":"4710_CR24","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1016\/j.compbiomed.2011.05.017","volume":"41","author":"WB Sampaio","year":"2011","unstructured":"Sampaio WB, Diniz EM, Silva AC, DE Paiva AC, Gattass M (2011) Detection of masses in mammogram images using cnn, geostatistic functions and svm. Comput Biol Med 41(8):653\u2013664","journal-title":"Comput Biol Med"},{"issue":"22","key":"4710_CR25","doi-asserted-by":"crossref","first-page":"8911","DOI":"10.1016\/j.eswa.2015.07.046","volume":"42","author":"WBd Sampaio","year":"2015","unstructured":"Sampaio WBd, Silva AC, DE Paiva AC, Gattass M (2015) Detection of masses in mammograms with adaption to breast density using genetic algorithm, phylogenetic trees, lbp and svm. Expert Syst Appl 42(22):8911\u20138928","journal-title":"Expert Syst Appl"},{"issue":"1","key":"4710_CR26","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.cosrev.2007.05.001","volume":"1","author":"SE Schaeffer","year":"2007","unstructured":"Schaeffer SE (2007) Graph clustering. Comput Sci Rev 1(1):27\u201364. doi: 10.1016\/j.cosrev.2007.05.001","journal-title":"Comput Sci Rev"},{"key":"4710_CR27","unstructured":"Society AAC (2013) Learn about breast cancer"},{"issue":"1","key":"4710_CR28","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/B0-12-226865-2\/00132-2","volume":"3","author":"D Tilman","year":"2001","unstructured":"Tilman D (2001) Functional diversity. Enc Biodiversity 3(1):109\u2013120","journal-title":"Enc Biodiversity"},{"issue":"1","key":"4710_CR29","first-page":"47","volume":"102","author":"S Tzikopoulos","year":"2011","unstructured":"Tzikopoulos S, Mavroforakis M, Georgiou H, Dimitropoulos N, Theodoridis S (2011) A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry. Acad Radiol Elsevier 102(1):47\u201363","journal-title":"Acad Radiol Elsevier"},{"issue":"3","key":"4710_CR30","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1118\/1.2436974","volume":"34","author":"S Engeland van","year":"2007","unstructured":"van Engeland S, Karssemeijer N (2007) Combining two mammographic projections in a computer aided mass detection method. Med Phys 34(3):898\u2013905","journal-title":"Med Phys"},{"issue":"3","key":"4710_CR31","first-page":"303","volume":"19","author":"X Wang","year":"2012","unstructured":"Wang X, Li L, Xu W, Liu W, Lederman D, Zheng B (2012) Improving performance of computer-aided detection of masses by incorporating bilateral mammographic density asymmetry: an assessment. Comput Methods Prog Biomed Elsevier 19(3):303\u2013310","journal-title":"Comput Methods Prog Biomed Elsevier"},{"key":"4710_CR32","doi-asserted-by":"crossref","first-page":"1867","DOI":"10.1118\/1.3560462","volume":"38","author":"J Wei","year":"2011","unstructured":"Wei J, Chan H, Zhou C, Wu Y, Sahiner B, Hadjiiski L, Roubidoux MA, Helvie MA (2011) Computer-aided detection of breast masses: Four-view strategy for screening mammography. Med Phys 38:1867","journal-title":"Med Phys"},{"issue":"8","key":"4710_CR33","first-page":"3334","volume":"34","author":"Y Wu","year":"2007","unstructured":"Wu Y, Wei J, Hadjiiski L, Sahiner B, Zhou C, Ge J, Shi J, Zhang Y, Chan H (2007) Bilateral analysis based false positive reduction for computer-aided mass detection. Med Phys NIH Public Access 34(8):3334","journal-title":"Med Phys NIH Public Access"},{"key":"4710_CR34","doi-asserted-by":"crossref","unstructured":"Zuiderveld K (1994) Contrast limited adaptive histogram equalization. In: Graphics gems IV, pp 474\u2013485. Academic Press Professional, Inc","DOI":"10.1016\/B978-0-12-336156-1.50061-6"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-017-4710-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-017-4710-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-017-4710-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T07:12:01Z","timestamp":1692774721000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-017-4710-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,22]]},"references-count":34,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2017,9]]}},"alternative-id":["4710"],"URL":"https:\/\/doi.org\/10.1007\/s11042-017-4710-1","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,22]]}}}