{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T16:13:23Z","timestamp":1744215203897,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030687625"},{"type":"electronic","value":"9783030687632"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","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":[[2021]]},"DOI":"10.1007\/978-3-030-68763-2_18","type":"book-chapter","created":{"date-parts":[[2021,2,20]],"date-time":"2021-02-20T16:28:24Z","timestamp":1613838504000},"page":"243-253","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Multi-model Ensemble to Classify Acute Lymphoblastic Leukemia in Blood Smear Images"],"prefix":"10.1007","author":[{"given":"Sabrina","family":"Dhalla","sequence":"first","affiliation":[]},{"given":"Ajay","family":"Mittal","sequence":"additional","affiliation":[]},{"given":"Savita","family":"Gupta","sequence":"additional","affiliation":[]},{"given":"Harleen","family":"Singh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,2,21]]},"reference":[{"key":"18_CR1","unstructured":"National Cancer Institute (2018)"},{"key":"18_CR2","unstructured":"The Global Cancer Observatory (2018)"},{"key":"18_CR3","doi-asserted-by":"publisher","unstructured":"Markiewicz, T., Osowski, S., Marianska, B., Moszczy\u0144ski, L.: Automatic recognition of the blood cells of myelogenous leukemia using SVM. In: Proceedings of the International Joint Conference on Neural Networks, vol. 4, pp. 2496\u20132501 (2005). https:\/\/doi.org\/10.1109\/IJCNN.2005.1556295","DOI":"10.1109\/IJCNN.2005.1556295"},{"key":"18_CR4","unstructured":"Scotti, F.: Automatic morphological analysis for acute leukemia identification in peripheral blood microscope images. In: CIMSA. 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, pp. 96\u2013101. IEEE (2005)"},{"key":"18_CR5","doi-asserted-by":"publisher","unstructured":"Rawat, J., Singh, A., Bhadauria, H.S., Virmani, J., Devgun, J.S.: Computer assisted classification framework for prediction of acute lymphoblastic and acute myeloblastic leukemia. Biocybern. Biomed. Eng. 37(4), 637\u2013654, 2017. https:\/\/doi.org\/10.1016\/j.bbe.2017.07.003. ISSN 02085216","DOI":"10.1016\/j.bbe.2017.07.003"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Labati, R.D., Piuri, V., Scotti, F.: ALL-IDB: the acute lymphoblastic leukemia image database for image processing. In: 2011 18th IEEE International Conference on Image Processing, pp. 2045\u20132048. IEEE (2011)","DOI":"10.1109\/ICIP.2011.6115881"},{"key":"18_CR7","unstructured":"Putzu, L., Di Ruberto, C.: White blood cells identification and classification from leukemic blood image. In: International Work-Conference on Bioinformatics and Biomedical Engineering, pp. 99\u2013106. Copicentro Editorial (2013)"},{"issue":"3","key":"18_CR8","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 techniques. Artif. Intell. Med. 62(3), 179\u2013191 (2014)","journal-title":"Artif. Intell. Med."},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Madhloom, H.T., Kareem, S.A., Ariffin, H.: A robust feature extraction and selection method for the recognition of lymphocytes versus acute lymphoblastic leukemia. In: 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), pp. 330\u2013335. IEEE (2012)","DOI":"10.1109\/ACSAT.2012.62"},{"key":"18_CR10","doi-asserted-by":"crossref","unstructured":"Bhattacharjee, R., Saini, L.M.: Robust technique for the detection of acute lymphoblastic leukemia. In: 2015 IEEE Power, Communication and Information Technology Conference (PCITC), pp. 657\u2013662. IEEE (2015)","DOI":"10.1109\/PCITC.2015.7438079"},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Fatma, M., Sharma, J.: Identification and classification of acute leukemia using neural network. In: 2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom), pp. 142\u2013145. IEEE (2014)","DOI":"10.1109\/MedCom.2014.7005992"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Parvaresh, H., Sajedi, H., Rahimi, S.A.: Leukemia diagnosis using image processing and computational intelligence. In: 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES), pp. 000305\u2013000310. IEEE (2018)","DOI":"10.1109\/INES.2018.8523900"},{"issue":"7","key":"18_CR13","doi-asserted-by":"publisher","first-page":"1887","DOI":"10.1007\/s00521-013-1438-3","volume":"24","author":"S Mohapatra","year":"2013","unstructured":"Mohapatra, S., Patra, D., Satpathy, S.: An ensemble classifier system for early diagnosis of acute lymphoblastic leukemia in blood microscopic images. Neural Comput. Appl. 24(7), 1887\u20131904 (2013). https:\/\/doi.org\/10.1007\/s00521-013-1438-3","journal-title":"Neural Comput. Appl."},{"issue":"7553","key":"18_CR14","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(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. Commun. ACM 60(6), 84\u201390 (2017)","DOI":"10.1145\/3065386"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"18_CR17","unstructured":"Thanh, T.T.P., Vununu, C., Atoev, S., Lee, S.-H., Kwon, K.-R.: Leukemia blood cell image classification using convolutional neural network. Int. J. Comput. Theory Eng. 10(2), 54\u201358 (2018)"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Ghosh, A., Singh, S., Sheet, D.: Simultaneous localization and classification of acute lymphoblastic leukemic cells in peripheral blood smears using a deep convolutional network with average pooling layer. In: 2017 IEEE International Conference on Industrial and Information Systems (ICIIS), pp. 1\u20136. IEEE (2017)","DOI":"10.1109\/ICIINFS.2017.8300425"},{"key":"18_CR19","unstructured":"SbiLab. https:\/\/competitions.codalab.org\/competitions\/20395"},{"key":"18_CR20","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: 2009 IEEE conference on Computer Vision and Pattern Recognition, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"18_CR21","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"18_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1007\/978-3-030-01264-9_8","volume-title":"Computer Vision \u2013 ECCV 2018","author":"N Ma","year":"2018","unstructured":"Ma, N., Zhang, X., Zheng, H.-T., Sun, J.: ShuffleNet V2: practical guidelines for efficient CNN architecture design. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) Computer Vision \u2013 ECCV 2018. LNCS, vol. 11218, pp. 122\u2013138. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01264-9_8"},{"key":"18_CR23","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"18_CR24","series-title":"Lecture Notes in Bioengineering","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-981-15-0798-4_1","volume-title":"ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging","author":"A Honnalgere","year":"2019","unstructured":"Honnalgere, A., Nayak, G.: Classification of normal versus malignant cells in B-all white blood cancer microscopic images. In: Gupta, A., Gupta, R. (eds.) ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging. LNB, pp. 1\u201312. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-15-0798-4_1"},{"key":"18_CR25","series-title":"Lecture Notes in Bioengineering","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/978-981-15-0798-4_3","volume-title":"ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging","author":"S Shah","year":"2019","unstructured":"Shah, S., Nawaz, W., Jalil, B., Khan, H.A.: Classification of normal and leukemic blast cells in B-all cancer using a combination of convolutional and recurrent neural networks. In: Gupta, A., Gupta, R. (eds.) ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging. LNB, pp. 23\u201331. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-15-0798-4_3"},{"key":"18_CR26","series-title":"Lecture Notes in Bioengineering","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/978-981-15-0798-4_4","volume-title":"ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging","author":"Y Ding","year":"2019","unstructured":"Ding, Y., Yang, Y., Cui, Y.: Deep learning for classifying of white blood cancer. In: Gupta, A., Gupta, R. (eds.) ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging. LNB, pp. 33\u201341. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-15-0798-4_4"},{"key":"18_CR27","series-title":"Lecture Notes in Bioengineering","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-981-15-0798-4_7","volume-title":"ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging","author":"R Kulhalli","year":"2019","unstructured":"Kulhalli, R., Savadikar, C., Garware, B.: Toward automated classification of B-acute lymphoblastic leukemia. In: Gupta, A., Gupta, R. (eds.) ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging. LNB, pp. 63\u201372. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-15-0798-4_7"},{"key":"18_CR28","series-title":"Lecture Notes in Bioengineering","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/978-981-15-0798-4_15","volume-title":"ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging","author":"MA Khan","year":"2019","unstructured":"Khan, M.A., Choo, J.: Classification of cancer microscopic images via convolutional neural networks. In: Gupta, A., Gupta, R. (eds.) ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging. LNB, pp. 141\u2013147. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-15-0798-4_15"},{"key":"18_CR29","series-title":"Lecture Notes in Bioengineering","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/978-981-15-0798-4_12","volume-title":"ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Long, F.: Acute lymphoblastic leukemia cells image analysis with deep bagging ensemble learning. In: Gupta, A., Gupta, R. (eds.) ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging. LNB, pp. 113\u2013121. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-15-0798-4_12"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition. ICPR International Workshops and Challenges"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-68763-2_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,20]],"date-time":"2021-02-20T17:27:56Z","timestamp":1613842076000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-68763-2_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030687625","9783030687632"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-68763-2_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"21 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 January 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 January 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ICPR2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icpr2020.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}