{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T12:32:02Z","timestamp":1725971522239},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319763477"},{"type":"electronic","value":"9783319763484"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-76348-4_81","type":"book-chapter","created":{"date-parts":[[2018,3,21]],"date-time":"2018-03-21T15:10:42Z","timestamp":1521645042000},"page":"846-857","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Automatic Identification of Malaria Using Image Processing and Artificial Neural Network"],"prefix":"10.1007","author":[{"given":"Mahendra","family":"Kanojia","sequence":"first","affiliation":[]},{"given":"Niketa","family":"Gandhi","sequence":"additional","affiliation":[]},{"given":"Leisa J.","family":"Armstrong","sequence":"additional","affiliation":[]},{"given":"Pranali","family":"Pednekar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,3,22]]},"reference":[{"key":"81_CR1","unstructured":"World Health Organization. Malaria, Fact sheet no. 094 (2017)"},{"key":"81_CR2","unstructured":"Centers for Disease Control and Prevention.\u00a0CDC Health Information for International Travel 2010. Atlanta, Mosby, pp. 128\u2013159 (2009)"},{"issue":"10","key":"81_CR3","first-page":"124","volume":"2","author":"P Sudhakar","year":"2013","unstructured":"Sudhakar, P.: Detection of malarial parasite in blood using image processing. Int. J. Eng. Innov. Technol. 2(10), 124\u2013126 (2013)","journal-title":"Int. J. Eng. Innov. Technol."},{"key":"81_CR4","first-page":"97","volume":"2","author":"M Khan","year":"2011","unstructured":"Khan, M., Acharya, B., Singh, B., Soni, J.: Content based image retrieval approaches for detection of malarial parasite in blood images. Int. J. Biom. Bioinform. 2, 97\u2013110 (2011)","journal-title":"Int. J. Biom. Bioinform."},{"key":"81_CR5","doi-asserted-by":"crossref","unstructured":"Tek, B., Dempster, A., Kale, I.: Malaria parasite detection in peripheral blood images. In: BMVC, pp. 347\u2013356 (2006)","DOI":"10.5244\/C.20.36"},{"issue":"1","key":"81_CR6","first-page":"153","volume":"8","author":"B Tek","year":"2009","unstructured":"Tek, B., Dempster, A., Kale, I.: Computer vision for microscopy diagnosis of malaria. Bio-Med Central Malar. J. 8(1), 153 (2009)","journal-title":"Bio-Med Central Malar. J."},{"issue":"1","key":"81_CR7","first-page":"59","volume":"5","author":"N Ahirwar","year":"2012","unstructured":"Ahirwar, N., Pattnaik, S., Acharya, B.: Advanced image analysis based system for automation detection and classification of malarial parasite in blood images. Int. J. Inf. Technol. Knowl. Manag. 5(1), 59\u201364 (2012)","journal-title":"Int. J. Inf. Technol. Knowl. Manag."},{"key":"81_CR8","first-page":"60","volume":"2","author":"S Annaldas","year":"2015","unstructured":"Annaldas, S., Shirgan, S.: Automatic diagnosis of malaria parasites using neural network and support vector machine. Int. J. Adv. Found. Res. Comput. (IJAFRC) 2, 60\u201366 (2015)","journal-title":"Int. J. Adv. Found. Res. Comput. (IJAFRC)"},{"issue":"2","key":"81_CR9","first-page":"71","volume":"4","author":"L Damahe","year":"2011","unstructured":"Damahe, L., Krrishna, K., Janwe, J., Nileshsingh, T.: Segmentation based approach to detect parasites and RBCs in blood cell images. Int. J. Comput. Sci. Appl. 4(2), 71\u201381 (2011)","journal-title":"Int. J. Comput. Sci. Appl."},{"key":"81_CR10","unstructured":"Soni, J., Mishra, N.: Advanced image analysis based system for automatic detection of malarial parasite in blood images. In: International Conference on Advanced Computing Communication and Networks, pp. 59\u201364 (2011)"},{"issue":"3","key":"81_CR11","first-page":"310","volume":"5","author":"S Savkare","year":"2011","unstructured":"Savkare, S., Narote, P.: Automatic detection of malaria parasites for estimating parasitemia. Int. J. Comput. Sci. Secur. (IJCSS) 5(3), 310\u2013315 (2011)","journal-title":"Int. J. Comput. Sci. Secur. (IJCSS)"},{"issue":"1","key":"81_CR12","first-page":"129","volume":"4","author":"D Ghate","year":"2012","unstructured":"Ghate, D., Jadhav, C., Rani, U.: Automatic detection of malaria parasite from blood images. Int. J. Adv. Comput. Technol. 4(1), 129\u2013132 (2012)","journal-title":"Int. J. Adv. Comput. Technol."},{"key":"81_CR13","doi-asserted-by":"crossref","unstructured":"Liang, Z., Powell, A., Ersoy, I., Poostchi, M., Silamut, K., Palaniappan, K., Guo, P., Hossain, M., Sameer, A., Maude, R., Huang, J., Jaeger, S., Thoma, G.: CNN-based image analysis for malaria diagnosis. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen, pp. 493\u2013496 (2016)","DOI":"10.1109\/BIBM.2016.7822567"},{"key":"81_CR14","doi-asserted-by":"crossref","unstructured":"Mehrjou, A., Abbasian, T., Izadi, M.: Automatic malaria diagnosis system. In: First RSI\/ISM International Conference on Robotics and Mechatronics (ICRoM), pp. 205\u2013211 (2013)","DOI":"10.1109\/ICRoM.2013.6510106"},{"key":"81_CR15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fpubh.2017.00219","volume":"5","author":"J Pollak","year":"2017","unstructured":"Pollak, J., Houri-Yafin, A., Salpeter, S.: Computer vision malaria diagnostic systems\u2014progress and prospects. Front. Public Health 5, 1\u20135 (2017)","journal-title":"Front. Public Health"},{"key":"81_CR16","unstructured":"Centers for Disease Control and Prevention (CDC) Laboratory Identification of Parasitic Diseases of Public Health Concern (DPDx) - Malaria image library. \nhttp:\/\/www.cdc.gov\/dpdx\/malaria\/gallery.html\n\n. Accessed 04 May 2017"},{"key":"81_CR17","unstructured":"Centers for Disease Control and Prevention (CDC) Laboratory Identification of Parasitic Diseases of Public Health Concern (DPDx) - Malaria image library listed alphabetically and cross referenced. \nhttp:\/\/www.cdc.gov\/dpdx\/az.html\n\n. Accessed 04 May 2017"},{"issue":"12","key":"81_CR18","first-page":"4","volume":"2","author":"N Ahiwar","year":"2011","unstructured":"Ahiwar, N., Patnaik, S.: Texture and intensity based\u00a0classification of malaria parasite in\u00a0blood images using Levenberg-Marquardt (LM) algorithm. Int. J. Comput. Intell. Inf. Secur. 2(12), 4\u20139 (2011)","journal-title":"Int. J. Comput. Intell. Inf. Secur."},{"issue":"1","key":"81_CR19","first-page":"2","volume":"6","author":"K Chakrabortya","year":"2015","unstructured":"Chakrabortya, K., Chattopadhyayb, A., Chakrabarti, A., Acharyad, T.: A combined algorithm for malaria detection from thick smear blood slides. Health Med. Inf. 6(1), 2\u20136 (2015)","journal-title":"Health Med. Inf."}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Systems Design and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-76348-4_81","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,3,21]],"date-time":"2018-03-21T15:56:38Z","timestamp":1521647798000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-76348-4_81"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319763477","9783319763484"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-76348-4_81","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2018]]}}}