{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T21:35:43Z","timestamp":1792532143249,"version":"4.5.0"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"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":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1007\/s11517-021-02348-4","type":"journal-article","created":{"date-parts":[[2021,4,5]],"date-time":"2021-04-05T06:02:33Z","timestamp":1617602553000},"page":"947-955","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Mammogram mass segmentation and detection using Legendre neural network-based optimal threshold"],"prefix":"10.1007","volume":"59","author":[{"given":"Sunita","family":"Sarangi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nrusingha Prasad","family":"Rath","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5350-4275","authenticated-orcid":false,"given":"Harish Kumar","family":"Sahoo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,4,5]]},"reference":[{"key":"2348_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.eswa.2019.112855","volume":"139","author":"VK Singh","year":"2020","unstructured":"Singh VK, Rashwan HA, Romani S, Akram F, Pandey N, Sarker MMK, Saleh A, Arenas M, Arquez M, Puig D, Torrents-Barrena J (2020) 112855) Breast tumor segmentation and shape classification in mammograms using generative adversial and convolutional neural network. Expert Syst Appl 139:1\u201314","journal-title":"Expert Syst Appl"},{"key":"2348_CR2","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.eswa.2018.11.008","volume":"120","author":"FF Ting","year":"2019","unstructured":"Ting FF, Tan YJ, Sim KS (2019) Convolutional neural network improvement for breast cancer classification. Expert Syst Appl 120:103\u2013115","journal-title":"Expert Syst Appl"},{"issue":"2","key":"2348_CR3","first-page":"37","volume":"9","author":"K Yuvraj","year":"2013","unstructured":"Yuvraj K, Ragupathy US (2013) Computer aided segmentation and classification of mass in mammographic images using ANFIS. EJBI 9(2):37\u201341","journal-title":"EJBI"},{"issue":"15","key":"2348_CR4","first-page":"1","volume":"8","author":"TVN Rao","year":"2015","unstructured":"Rao TVN, Govardhan A (2015) Efficient segmentation and classification of mammogram images with fuzzy filtering. Indian J Sci Technol 8(15):1\u20138","journal-title":"Indian J Sci Technol"},{"key":"2348_CR5","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.cmpb.2018.01.011","volume":"157","author":"H Chougrad","year":"2018","unstructured":"Chougrad H, Zouaki H, Alheyane O (2018) Deep convolutional neural networks for breast cancer screening. Comput Methods Prog Biomed 157:19\u201330","journal-title":"Comput Methods Prog Biomed"},{"key":"2348_CR6","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.compmedimag.2016.07.004","volume":"57","author":"W Sun","year":"2017","unstructured":"Sun W, Tseng T-L(B), Zhang J, Qian W (2017) Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data. Comput Med Imaging Graph 57:4\u20139","journal-title":"Comput Med Imaging Graph"},{"key":"2348_CR7","doi-asserted-by":"crossref","unstructured":"Kanadam KP, Chereddy SR Mammogram classification using sparse-ROI: A novel representation to arbitrary shaped masses. Expert Syst Appl 57(2016):204\u2013213","DOI":"10.1016\/j.eswa.2016.03.037"},{"key":"2348_CR8","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.cmpb.2018.01.007","volume":"156","author":"JOB Diniz","year":"2018","unstructured":"Diniz JOB, Diniz PHB, Valente TLA, Silva AC, de Paiva AC, Gattas M (2018) Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks. Comput Methods Prog Biomed 156:191\u2013207","journal-title":"Comput Methods Prog Biomed"},{"key":"2348_CR9","doi-asserted-by":"publisher","first-page":"2625","DOI":"10.1016\/j.neucom.2007.06.015","volume":"71","author":"NR Pal","year":"2008","unstructured":"Pal NR, Bhowmick B, Patel SK, Pal S, Das J (2008) A multi-stage neural network aided system for detection of microcalcification in digitized mammograms. Neurocomputing 71:2625\u20132634","journal-title":"Neurocomputing"},{"key":"2348_CR10","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.artmed.2007.09.003","volume":"42","author":"B Verma","year":"2008","unstructured":"Verma B (2008) Novel network architecture and learning algorithms for the classification of mass abnormalities in digitized mammograms. Artif Intell Med 42:67\u201379","journal-title":"Artif Intell Med"},{"key":"2348_CR11","doi-asserted-by":"publisher","unstructured":"Adams R, Bischof L (1994) Seeded region growing, IEEE transactions on pattern analysis and machine intelligence. https:\/\/doi.org\/10.1109\/34.295913","DOI":"10.1109\/34.295913"},{"key":"2348_CR12","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.compbiomed.2005.12.004","volume":"37","author":"G Kom","year":"2007","unstructured":"Kom G, Tiedeu A, Kom M (2007) Automated detection of masses in mammograms by local adaptive thresholding. Comput Biol Med 37:37\u201348","journal-title":"Comput Biol Med"},{"issue":"2","key":"2348_CR13","first-page":"386","volume":"7","author":"NS Sudha","year":"2017","unstructured":"Sudha NS, Dodda RKR (2017) Block based normalized LMS Adaptive filtering technique denoising EEG artefacts. Int J Curr Eng Technol 7(2):386\u2013389","journal-title":"Int J Curr Eng Technol"},{"key":"2348_CR14","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.cviu.2007.07.004","volume":"109","author":"A Cao","year":"2008","unstructured":"Cao A, Song Q, Yang X (2008) Robust information clustering incorporating spatial information for breast mass detection in digitized mammograms. Comput Vis Image Underst 109:86\u201396","journal-title":"Comput Vis Image Underst"},{"issue":"2","key":"2348_CR15","doi-asserted-by":"publisher","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":"2348_CR16","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.cmpb.2014.02.014","volume":"114","author":"B Kurt","year":"2014","unstructured":"Kurt B, Nabiyev VV, Turhan K (2014) A novel automatic suspicious mass regions identification using Havrda & Charvat entropy and Otsu\u2019s N thresholding. Comput Methods Prog Biomed 114:349\u2013360","journal-title":"Comput Methods Prog Biomed"},{"key":"2348_CR17","doi-asserted-by":"publisher","first-page":"3048","DOI":"10.1016\/j.eswa.2014.11.061","volume":"42","author":"C-C Jen","year":"2015","unstructured":"Jen C-C, Yu S-S (2015) Automatic detection of abnormal mammograms in mammographic images. Expert Syst Appl 42:3048\u20133055","journal-title":"Expert Syst Appl"},{"key":"2348_CR18","doi-asserted-by":"crossref","unstructured":"Patra JC, Chin WC, Meher PK, Chakraborty G (2008) Legendre-FLANN-based nonlinear channel equalization in wireless communication system. IEEE international conference on systems, man and cybernetics, Singapore","DOI":"10.1109\/ICSMC.2008.4811554"},{"key":"2348_CR19","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1007\/s11517-017-1721-z","volume":"56","author":"AZ Shirazi","year":"2018","unstructured":"Shirazi AZ, Chabok SJSM, Mohammadi Z (2018) A novel and reliable computational intelligence system for breast cancer detection. Med Biol Eng Comput 56:721\u2013732","journal-title":"Med Biol Eng Comput"},{"key":"2348_CR20","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1007\/s11517-020-02150-8","volume":"58","author":"R Arora","year":"2020","unstructured":"Arora R, Rai PK, Raman B (2020) Deep feature-based automatic classification of mammograms. Med Biol Eng Comput 58:1199\u20131211","journal-title":"Med Biol Eng Comput"}],"container-title":["Medical & Biological Engineering & Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-021-02348-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11517-021-02348-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-021-02348-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,20]],"date-time":"2021-04-20T02:34:52Z","timestamp":1618886092000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11517-021-02348-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":20,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,4]]}},"alternative-id":["2348"],"URL":"https:\/\/doi.org\/10.1007\/s11517-021-02348-4","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4]]},"assertion":[{"value":"14 June 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 March 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 April 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}