{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T06:31:45Z","timestamp":1774161105242,"version":"3.50.1"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319231167","type":"print"},{"value":"9783319231174","type":"electronic"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-23117-4_36","type":"book-chapter","created":{"date-parts":[[2015,8,25]],"date-time":"2015-08-25T14:07:58Z","timestamp":1440511678000},"page":"415-425","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation"],"prefix":"10.1007","author":[{"given":"Cecilia","family":"Di Ruberto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrea","family":"Loddo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lorenzo","family":"Putzu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,8,26]]},"reference":[{"key":"36_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1007\/978-3-642-04070-2_38","volume-title":"Emerging Intelligent Computing Technology and Applications","author":"C Pan","year":"2009","unstructured":"Pan, C., Lu, H., Cao, F.: Segmentation of blood and bone marrow cell images via learning by sampling. In: Huang, D.-S., Jo, K.-H., Lee, H.-H., Kang, H.-J., Bevilacqua, V. (eds.) ICIC 2009. LNCS, vol. 5754, pp. 336\u2013345. Springer, Heidelberg (2009)"},{"issue":"1","key":"36_CR2","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1109\/TIT.1975.1055330","volume":"21","author":"K Fukunaga","year":"1975","unstructured":"Fukunaga, K., Hostetler, L.: The estimation of the gradient of a density function, with applications in pattern recognition. IEEE Transactions on Information Theory 21(1), 32\u201340 (1975)","journal-title":"IEEE Transactions on Information Theory"},{"key":"36_CR3","unstructured":"Shapiro, L.G., Stockman, G.C.: Computer Vision, chap. 12, pp. 279\u2013325. Prentice Hall, New Jersey (2001)"},{"key":"36_CR4","unstructured":"Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Prentice Hall Pearson Education, Inc., New Jersey (2008)"},{"key":"36_CR5","doi-asserted-by":"crossref","unstructured":"Donida Labati, R., Piuri, V., Scotti, F.: ALL-IDB: the acute lymphoblastic leukemia image database for image processing. In: Macq, B., Schelkens, P. (eds.) Proceedings of the 18th IEEE ICIP International Conference on Image Processing, pp. 2045\u20132048. IEEE Publisher, Brussels (2011)","DOI":"10.1109\/ICIP.2011.6115881"},{"issue":"4","key":"36_CR6","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1111\/j.1365-2141.1976.tb03563.x","volume":"33","author":"JM Bennett","year":"1976","unstructured":"Bennett, J.M., Catovsky, D., Daniel, M.T., Flandrin, G., Galton, D.A., Gralnick, H.R., Sultan, C.: Proposals for the classification of the acute leukemias. French-American-British (FAB) co-operative group. British Journal of Hematology 33(4), 451\u2013458 (1976)","journal-title":"British Journal of Hematology"},{"issue":"11","key":"36_CR7","doi-asserted-by":"publisher","first-page":"959","DOI":"10.3923\/jas.2010.959.966","volume":"10","author":"HT Madhloom","year":"2010","unstructured":"Madhloom, H.T., Kareem, S.A., Ariffin, H., Zaidan, A.A., Alanazi, H.O., Zaidan, B.B.: An Automated White Blood Cell Nucleus Localization and Segmentation using Image Arithmetic and Automated Threshold. Journal of Applied Sciences 10(11), 959\u2013966 (2010)","journal-title":"Journal of Applied Sciences"},{"key":"36_CR8","doi-asserted-by":"crossref","unstructured":"Sinha, N., Ramakrishnan, A.G.: Automation of differential blood count. In: Chockalingam, A. (ed.) Proceedings of the Conference on Convergent Technologies for the Asia-Pacific Region, vol. 2, pp. 547\u2013551. IEEE Publisher, Taj Residency (2003)","DOI":"10.1109\/TENCON.2003.1273221"},{"key":"36_CR9","doi-asserted-by":"crossref","unstructured":"Kovalev, V.A., Grigoriev, A.Y., Ahn, H.: Robust recognition of white blood cell images. In: Kavanaugh, M.E., Werner, B. (eds.) Proceedings of the 13th International Conference on Pattern Recognition, pp. 371\u2013375. IEEE Publisher, Vienna (1996)","DOI":"10.1109\/ICPR.1996.547448"},{"key":"36_CR10","doi-asserted-by":"crossref","unstructured":"Scotti, F.: Robust segmentation and measurements techniques of white cells in blood microscope images. In: Daponte, P., Linnenbrink, T. (eds.) Proceedings of the IEEE Instrumentation and Measurement Technology Conference, pp. 43\u201348. IEEE Publisher. Sorrento (2006)","DOI":"10.1109\/IMTC.2006.328170"},{"key":"36_CR11","doi-asserted-by":"crossref","unstructured":"Piuri, V., Scotti, F.: Morphological classification of blood leucocytes by microscope images. In: Proceedings of the IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, pp. 103\u2013108. IEEE Publisher, Boston (2004)","DOI":"10.1109\/CIMSA.2004.1397242"},{"key":"36_CR12","unstructured":"Halim, N.H.A., Mashor, M.Y., Hassan, R.: Automatic Blasts Counting for Acute Leukemia Based on Blood Samples. International Journal of Research and Reviews in Computer Science 2(4), August 2011"},{"key":"36_CR13","doi-asserted-by":"crossref","unstructured":"Mohapatra, S., Patra, D., Satpathy, S.: An Ensemble Classifier System for Early Diagnosis of Acute Lymphoblastic Leukemia in Blood Microscopic Images. Journal of Neural Computing and Applications, Article in Press (2013)","DOI":"10.1007\/s00521-013-1438-3"},{"issue":"4","key":"36_CR14","first-page":"12","volume":"4","author":"JF David","year":"2000","unstructured":"David, J.F., Comaniciu, D., Meer, P.: Computer-assisted discrimination among malignant lymphomas and leukemia using immunophenotyping, intelligent image repositories, and telemicroscopy. IEEE Transaction on Information Technology in Biomedicine 4(4), 12\u201322 (2000)","journal-title":"IEEE Transaction on Information Technology in Biomedicine"},{"key":"36_CR15","unstructured":"Lezoray, O., Elmoataz, A., Cardot, H., Gougeon, G., Lecluse, M., Elie, H., Revenu, H.M.: Segmentation of Color Images from Serous Cytology for Automated Cell Classification. Journal of Analytical and Quantitative Cytology and Histology\/the International Academy of Cytology [and] American Society of Cytology 22(4), 311\u2013322 (2000)"},{"key":"36_CR16","unstructured":"Vapnik, V.N., Vapnik, V.: Statistical learning theory, vol. 1, Wiley New York (1998)"},{"key":"36_CR17","doi-asserted-by":"crossref","unstructured":"Di Ruberto, C., Loddo, A., Putzu, L.: Learning by sampling for white blood cells segmentation. In: LNCS of the International Conference on Image Analysis and Processing (ICIAP) (2015) (in press)","DOI":"10.1007\/978-3-319-23231-7_50"},{"key":"36_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1007\/978-3-642-41181-6_62","volume-title":"Image Analysis and Processing \u2013 ICIAP 2013","author":"L Putzu","year":"2013","unstructured":"Putzu, L., Di Ruberto, C.: Investigation of different classification models to determine the presence of leukemia in peripheral blood image. In: Petrosino, A. (ed.) ICIAP 2013, Part I. LNCS, vol. 8156, pp. 612\u2013621. Springer, Heidelberg (2013)"},{"issue":"3","key":"36_CR19","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.artmed.2014.09.002","volume":"62","author":"L Putzu","year":"2014","unstructured":"Putzu, L., Caocci, G., Di Ruberto, C.: Leucocyte Classification for Leukaemia Detection using Image Processing Technique. Artificial Intelligence in Medicine 62(3), 179\u2013191 (2014)","journal-title":"Artificial Intelligence in Medicine"}],"container-title":["Lecture Notes in Computer Science","Computer Analysis of Images and Patterns"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-23117-4_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T04:29:44Z","timestamp":1748579384000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-23117-4_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319231167","9783319231174"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-23117-4_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"26 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}