{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T08:46:36Z","timestamp":1765961196579,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030324551"},{"type":"electronic","value":"9783030324568"}],"license":[{"start":{"date-parts":[[2019,11,7]],"date-time":"2019-11-07T00:00:00Z","timestamp":1573084800000},"content-version":"tdm","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":[[2020]]},"DOI":"10.1007\/978-3-030-32456-8_95","type":"book-chapter","created":{"date-parts":[[2019,11,6]],"date-time":"2019-11-06T14:03:42Z","timestamp":1573049022000},"page":"883-891","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Hybrid Fuzzy CNN Network in the Problem of Medical Images Classification and Diagnostics"],"prefix":"10.1007","author":[{"given":"Yuriy","family":"Zaychenko","sequence":"first","affiliation":[]},{"given":"Galib","family":"Hamidov","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,11,7]]},"reference":[{"key":"95_CR1","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.bspc.2017.07.007","volume":"39","author":"G Mohan","year":"2018","unstructured":"Mohan, G., Subashini, M.M.: MRI based medical image analysis: survey on brain tumor grade classification. Biomed. Sig. Process. Control 39, 139\u2013161 (2018)","journal-title":"Biomed. Sig. Process. Control"},{"key":"95_CR2","doi-asserted-by":"crossref","unstructured":"Ker, J., Wang, L.P., Rao, J., Lim, T.: Deep learning applications in medical image analysis. IEEE Access 6, 9375\u20139389 (2017)","DOI":"10.1109\/ACCESS.2017.2788044"},{"key":"95_CR3","unstructured":"Boyle, P., Levin, B. (eds.) World Cancer Report 2012. IARC, Lyon (2012). \n                    http:\/\/www.iarc.fr\/en\/publications\/pdfs-online\/wcr\/2008\/wcr_2012.pdf"},{"key":"95_CR4","unstructured":"Lakhani, S.R., Ellis, I.O., Schnitt, S., Tan, P., van de Vijver, M.: WHO classification of tumors of the breast, 4th edn. WHO Press, Lyon (2012)"},{"issue":"7","key":"95_CR5","doi-asserted-by":"publisher","first-page":"1405","DOI":"10.1007\/s00138-012-0459-8","volume":"24","author":"Y Zhang","year":"2013","unstructured":"Zhang, Y., Zhang, B., Coenen, F., Lu, W.: Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles. Mach. Vis. Appl. 24(7), 1405\u20131420 (2013)","journal-title":"Mach. Vis. Appl."},{"issue":"17","key":"95_CR6","first-page":"1","volume":"2014","author":"Y Zhang","year":"2014","unstructured":"Zhang, Y., Zhang, B., Coenen, F., Xiau, J., Lu, W.: One-class kernel subspace ensemble for medical image classification. EURASIP J. Adv. Sig. Process. 2014(17), 1\u201313 (2014)","journal-title":"EURASIP J. Adv. Sig. Process."},{"key":"95_CR7","doi-asserted-by":"crossref","unstructured":"Doyle, S., Agner, S., Madabhushi, A., Feldman, M., Tomaszewski, J.: Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features. In: Proceedings of the 5th IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, vol. 61, pp. 496\u2013499. IEEE, May 2008","DOI":"10.1109\/ISBI.2008.4541041"},{"key":"95_CR8","unstructured":"Singh, A., Mansourifar, H., Bilgrami, H., Makkar, N., Shah, T.: Classifying Biological Images Using Pre-trained CNNs. \n                    https:\/\/docs.google.com\/document\/d\/1H7xVK7nwXcv11CYh7hl5F6pM0m218FQloAXQODP-Hsg\/edit?usp=sharing"},{"key":"95_CR9","unstructured":"Spanhol, F., Oliveira, L.S., Petitjean, C., Heutte, L.: A dataset for breast cancer histopathological image classification. IEEE Trans. Biomed. Eng. 63, 1455\u20131462 (2016)"},{"key":"95_CR10","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521, 436\u2013444 (2015)","journal-title":"Nature"},{"key":"95_CR11","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Image net classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, vol. 25, pp. 1097\u20131105 (2012)"},{"key":"95_CR12","doi-asserted-by":"crossref","unstructured":"Olson, B., Hashmi, I., Molloy, K., Shehu, A.: Basin hopping as a general and versatile optimization framework for the characterization of biological macromolecules. Adv. Artif. Intell. 2012 (2012). Article ID 674832","DOI":"10.1155\/2012\/674832"},{"key":"95_CR13","unstructured":"Nauck, D., Kruse, R.: New learning strategies for NEFCLASS. In: Proceedings of Seventh International Fuzzy Systems Association World Congress, IFSA 1997, vol. IV, pp. 50\u201355. Academia Prague (1997)"},{"key":"95_CR14","unstructured":"Zaychenko, Y.P., Sevaee, F., Matsak, A.V.: Fuzzy neural networks for economic data classification. Vestnik Natl. Tech. Univ. Ukraine \u201cKPI\u201d Sect. \u201cInformatic, Control Comput. Eng. 42, 121\u2013133 (2004)"},{"key":"95_CR15","unstructured":"Zaychenko, Y.P., Petrosyuk I.M., Jaroshenko, M.S.: The investigations of fuzzy neural networks in the problems of electro-optical images recognition. Syst. Res. Inf. Technol. (4), 61\u201376 (2009)"},{"key":"95_CR16","unstructured":"Zaychenko, Y., Huskova, V.: Recognition of objects on optical images in medical diagnostics using fuzzy neural network NEFClass. Int. J. Inf. Models Anal. 4(1), 13\u201322 (2015)"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32456-8_95","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,6]],"date-time":"2019-11-06T17:24:35Z","timestamp":1573061075000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-32456-8_95"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,7]]},"ISBN":["9783030324551","9783030324568"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32456-8_95","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,11,7]]},"assertion":[{"value":"7 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICNC-FSKD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kunming","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icncfskd2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}