{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T17:22:47Z","timestamp":1725988967666},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319990095"},{"type":"electronic","value":"9783319990101"}],"license":[{"start":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T00:00:00Z","timestamp":1535500800000},"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":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-319-99010-1_29","type":"book-chapter","created":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T14:59:57Z","timestamp":1535554797000},"page":"313-323","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Automatic White Blood Cell Counting Approach Based on Flower Pollination Optimization Multilevel Thresholoding Algorithm"],"prefix":"10.1007","author":[{"given":"Shahd T.","family":"Mohamed","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hala M.","family":"Ebeid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aboul Ella","family":"Hassanien","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed F.","family":"Tolba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,29]]},"reference":[{"issue":"2","key":"29_CR1","first-page":"2395","volume":"3","author":"H Malik","year":"2017","unstructured":"Malik, H., Randiwe, R., Patankar, J., Bhure, P.: Disease diagnosis using RBCs and WBCs cell structure by image processing. Int. J. Sci. Res. Sci. Technol. 3(2), 2395\u20136011 (2017)","journal-title":"Int. J. Sci. Res. Sci. Technol."},{"key":"29_CR2","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.measurement.2014.04.008","volume":"55","author":"S Nazlibilek","year":"2014","unstructured":"Nazlibilek, S., Karacor, D., Ercan, T., Sazli, M.H., Kalender, O., Ege, Y.: Automatic segmentation, counting, size determination and classification of white blood cells. Measurement 55, 58\u201365 (2014)","journal-title":"Measurement"},{"key":"29_CR3","doi-asserted-by":"crossref","unstructured":"Jha, K.K., Das, B.K., Dutta, H.S.: Detection of abnormal blood cells on the basis of nucleus shape and counting of WBC. In: Green Computing Communication and Electrical Engineering (ICGCCEE), pp. 1\u20135 (2014)","DOI":"10.1109\/ICGCCEE.2014.6922219"},{"issue":"3","key":"29_CR4","first-page":"1271","volume":"7","author":"C Fatichah","year":"2014","unstructured":"Fatichah, C., Purwitasari, D., Hariadi, V., Effendy, F.: Overlapping white blood cell segmentation and counting on microscopic blood cell images. Int. J. Smart Sens. Intell. Syst. 7(3), 1271\u20131286 (2014)","journal-title":"Int. J. Smart Sens. Intell. Syst."},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Kolhatkar, D., Wankhade, N.: Detection and counting of blood cells using image segmentation: a review. In: Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave), pp. 1\u20135 (2016)","DOI":"10.1109\/STARTUP.2016.7583931"},{"key":"29_CR6","unstructured":"Rane, K.P., Zope, G.D., Rane, A.: Blood cell segmentation\u2013a review. Int. J. Adv. Electron. Commun. Syst. (2014)"},{"issue":"1","key":"29_CR7","first-page":"22","volume":"2","author":"DD Patil","year":"2013","unstructured":"Patil, D.D., Deore, S.G.: Medical image segmentation: a review. Int. J. Comput. Sci. Mob. Comput. 2(1), 22\u201327 (2013)","journal-title":"Int. J. Comput. Sci. Mob. Comput."},{"issue":"3","key":"29_CR8","doi-asserted-by":"publisher","first-page":"15","DOI":"10.14738\/jbemi.33.2078","volume":"3","author":"N Salem","year":"2016","unstructured":"Salem, N., Sobhy, N.M., El Dosoky, M.: A comparative study of white blood cells segmentation using otsu threshold and watershed transformation. J. Biomed. Eng. Med. Imaging 3(3), 15\u201324 (2016)","journal-title":"J. Biomed. Eng. Med. Imaging"},{"issue":"1","key":"29_CR9","first-page":"43","volume":"10","author":"HP Vaghela","year":"2015","unstructured":"Vaghela, H.P., Modi, H., Pandya, M., Potdar, M.: Leukemia detection using digital image processing techniques. Int. J. Appl. Inf. Syst. 10(1), 43\u201351 (2015)","journal-title":"Int. J. Appl. Inf. Syst."},{"issue":"5","key":"29_CR10","doi-asserted-by":"publisher","first-page":"1311","DOI":"10.1007\/s00500-014-1345-2","volume":"19","author":"Y Liu","year":"2015","unstructured":"Liu, Y., Mu, C., Kou, W., Liu, J.: Modified particle swarm optimization-based multilevel thresholding for image segmentation. Soft Comput. 19(5), 1311\u20131327 (2015)","journal-title":"Soft Comput."},{"issue":"3","key":"29_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.5121\/ijma.2012.4301","volume":"4","author":"A ElAllaoui","year":"2012","unstructured":"ElAllaoui, A., Nasr, M.B.: Medical image segmentation by marker-controlled watershed and mathematical morphology. Int. J. Multimedia Appl. 4(3), 1\u20139 (2012)","journal-title":"Int. J. Multimedia Appl."},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Oliva, D., Cuevas, E., Pajares, G., Zaldivar, D., Perez-Cisneros, M.: Multilevel thresholding segmentation based on harmony search optimization. J. Appl. Math. (2013)","DOI":"10.1155\/2013\/575414"},{"issue":"9","key":"29_CR13","first-page":"829","volume":"2","author":"B Cc","year":"2015","unstructured":"Cc, B., Rajamani, K., Lajish, V.: A review on automatic marker identification methods in watershed algorithms used for medical image segmentation. IJISET - Int. J. Innov. Sci. Eng. Technol. 2(9), 829\u2013839 (2015)","journal-title":"IJISET - Int. J. Innov. Sci. Eng. Technol."},{"key":"29_CR14","doi-asserted-by":"crossref","unstructured":"Abdeldaim, A.M., Sahlol, A.T., Elhoseny, M., Hassanien, A.E.: Computer-aided acute lymphoblastic leukemia diagnosis system based on image analysis. In: Advances in Soft Computing and Machine Learning in Image Processing, pp. 131\u2013147. Springer (2018)","DOI":"10.1007\/978-3-319-63754-9_7"},{"key":"29_CR15","doi-asserted-by":"crossref","unstructured":"Yang, X.S.: Flower pollination algorithm for global optimization. In: International Conference on Unconventional Computing and Natural Computation, pp. 240\u2013249. Springer (2012)","DOI":"10.1007\/978-3-642-32894-7_27"},{"key":"29_CR16","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1016\/j.procs.2015.08.438","volume":"62","author":"H Chiroma","year":"2015","unstructured":"Chiroma, H., Shuib, N.L.M., Muaz, S.A., Abubakar, A.I., Ila, L.B., Maitama, J.Z.: A review of the applications of bio-inspired flower pollination algorithm. Proc. Comput. Sci. 62, 435\u2013441 (2015)","journal-title":"Proc. Comput. Sci."},{"key":"29_CR17","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/j.procs.2013.05.251","volume":"18","author":"XS Yang","year":"2013","unstructured":"Yang, X.S., Karamanoglu, M., He, X.: Multi-objective flower algorithm for optimization. Proc. Comput. Sci. 18, 861\u2013868 (2013)","journal-title":"Proc. Comput. Sci."},{"key":"29_CR18","doi-asserted-by":"crossref","unstructured":"Benson, C., Lajish, V., Rajamani, K.: Brain tumor extraction from MRI brain images using marker based watershed algorithm. In: Advances in Computing, Communications and Informatics (ICACCI), pp. 318\u2013323 (2015)","DOI":"10.1109\/ICACCI.2015.7275628"},{"key":"29_CR19","first-page":"18","volume":"3","author":"VJ Gaikwad","year":"2015","unstructured":"Gaikwad, V.J.: Marker-controlled watershed transform in digital mammogram segmentation. Int. J. Res. Appl. Sci. Eng. 3, 18\u201321 (2015)","journal-title":"Int. J. Res. Appl. Sci. Eng."},{"key":"29_CR20","first-page":"275","volume":"25","author":"M Hassan","year":"2017","unstructured":"Hassan, M., Eko, N., Shafie, S.: Tuberculosis bacteria counting using watershed segmentation. Pertanika J. Sci. Technol. 25, 275\u2013282 (2017)","journal-title":"Pertanika J. Sci. Technol."}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99010-1_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T15:22:09Z","timestamp":1535556129000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-99010-1_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,29]]},"ISBN":["9783319990095","9783319990101"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99010-1_29","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2018,8,29]]}}}