{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T20:17:29Z","timestamp":1776889049488,"version":"3.51.2"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031169601","type":"print"},{"value":"9783031169618","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-16961-8_7","type":"book-chapter","created":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T06:03:10Z","timestamp":1663308190000},"page":"63-72","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Leukocyte Classification Using Multimodal Architecture Enhanced by\u00a0Knowledge Distillation"],"prefix":"10.1007","author":[{"given":"Litao","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deval","family":"Mehta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dwarikanath","family":"Mahapatra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongyuan","family":"Ge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,15]]},"reference":[{"issue":"2","key":"7_CR1","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1109\/TPAMI.2018.2798607","volume":"41","author":"T Baltru\u0161aitis","year":"2018","unstructured":"Baltru\u0161aitis, T., Ahuja, C., Morency, L.P.: Multimodal machine learning: a survey and taxonomy. IEEE Trans. Pattern Anal. Mach. Intell. 41(2), 423\u2013443 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7_CR2","unstructured":"Blumenreich, M.S.: The white blood cell and differential count. In: Clinical Methods: The History, Physical, and Laboratory Examinations. 3rd edn. (1990)"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Cubuk, E.D., Zoph, B., Shlens, J., Le, Q.V.: Randaugment: practical automated data augmentation with a reduced search space. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 702\u2013703 (2020)","DOI":"10.1109\/CVPRW50498.2020.00359"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Damer, N., Dimitrov, K., Braun, A., Kuijper, A.: On learning joint multi-biometric representations by deep fusion. In: 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS), pp. 1\u20138. IEEE (2019)","DOI":"10.1109\/BTAS46853.2019.9186011"},{"key":"7_CR5","series-title":"Springer Proceedings in Physics","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1007\/978-981-15-9259-1_142","volume-title":"ICOL-2019","author":"B Das","year":"2021","unstructured":"Das, B., Bansal, S., Mohanta, G.C., Debnath, S.K., Bhatia, P.: Fluorescence imaging-based system for performing white blood cell counts. In: Singh, K., Gupta, A.K., Khare, S., Dixit, N., Pant, K. (eds.) ICOL-2019. SPP, vol. 258, pp. 617\u2013620. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-15-9259-1_142"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"D\u2019mello, S.K., Kory, J.: A review and meta-analysis of multimodal affect detection systems. ACM Comput. Surv. (CSUR). 47(3), 1\u201336 (2015)","DOI":"10.1145\/2682899"},{"issue":"11","key":"7_CR7","doi-asserted-by":"publisher","first-page":"4433","DOI":"10.1364\/BOE.6.004433","volume":"6","author":"A Forcucci","year":"2015","unstructured":"Forcucci, A., Pawlowski, M.E., Majors, C., Richards-Kortum, R., Tkaczyk, T.S.: All-plastic, miniature, digital fluorescence microscope for three part white blood cell differential measurements at the point of care. Biomed. Opt. Express 6(11), 4433\u20134446 (2015)","journal-title":"Biomed. Opt. Express"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Gadzicki, K., Khamsehashari, R., Zetzsche, C.: Early vs late fusion in multimodal convolutional neural networks. In: 2020 IEEE 23rd International Conference on Information Fusion (FUSION), pp. 1\u20136. IEEE (2020)","DOI":"10.23919\/FUSION45008.2020.9190246"},{"issue":"2","key":"7_CR9","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1053\/jpan.2003.50013","volume":"18","author":"B George-Gay","year":"2003","unstructured":"George-Gay, B., Parker, K.: Understanding the complete blood count with differential. J. Perianesth. Nurs. 18(2), 96\u2013117 (2003)","journal-title":"J. Perianesth. Nurs."},{"issue":"6","key":"7_CR10","doi-asserted-by":"publisher","first-page":"1789","DOI":"10.1007\/s11263-021-01453-z","volume":"129","author":"J Gou","year":"2021","unstructured":"Gou, J., Yu, B., Maybank, S.J., Tao, D.: Knowledge distillation: a survey. Int. J. Comput. Vision 129(6), 1789\u20131819 (2021)","journal-title":"Int. J. Comput. Vision"},{"key":"7_CR11","unstructured":"Havasi, M., et al.: Training independent subnetworks for robust prediction. arXiv preprint arXiv:2010.06610 (2020)"},{"key":"7_CR12","unstructured":"Hinton, G., et al.: Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.025312(7) (2015)"},{"key":"7_CR13","first-page":"290","volume":"14","author":"AD Khamael","year":"2020","unstructured":"Khamael, A.D., Banks, J., Nugyen, K., Al-Sabaawi, A., Tomeo-Reyes, I., Chandran, V.: Segmentation of white blood cell, nucleus and cytoplasm in digital haematology microscope images: a review-challenges, current and future potential techniques. IEEE Rev. Biomed. Eng. 14, 290\u2013306 (2020)","journal-title":"IEEE Rev. Biomed. Eng."},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Liu, J., Zhang, S., Wang, S., Metaxas, D.N.: Multispectral deep neural networks for pedestrian detection. arXiv preprint arXiv:1611.02644 (2016)","DOI":"10.5244\/C.30.73"},{"issue":"26","key":"7_CR15","doi-asserted-by":"publisher","first-page":"14779","DOI":"10.1073\/pnas.2001404117","volume":"117","author":"A Ojaghi","year":"2020","unstructured":"Ojaghi, A., et al.: Label-free hematology analysis using deep-ultraviolet microscopy. Proc. Natl. Acad. Sci. 117(26), 14779\u201314789 (2020)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"7_CR16","doi-asserted-by":"publisher","first-page":"13","DOI":"10.4103\/2153-3539.93895","volume":"3","author":"N Ramesh","year":"2012","unstructured":"Ramesh, N., Dangott, B., Salama, M.E., Tasdizen, T.: Isolation and two-step classification of normal white blood cells in peripheral blood smears. J. Pathol. Inform. 3, 13 (2012)","journal-title":"J. Pathol. Inform."},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Snoek, C.G., Worring, M., Smeulders, A.W.: Early versus late fusion in semantic video analysis. In: Proceedings of the 13th Annual ACM International Conference on Multimedia, pp. 399\u2013402 (2005)","DOI":"10.1145\/1101149.1101236"},{"key":"7_CR18","doi-asserted-by":"publisher","DOI":"10.1055\/b-005-148949","volume-title":"Color Atlas of Hematology: Practical Microscopic and Clinical Diagnosis","author":"H Theml","year":"2004","unstructured":"Theml, H., Diem, H., Haferlach, T.: Color Atlas of Hematology: Practical Microscopic and Clinical Diagnosis. Thieme, Leipzig (2004)"},{"key":"7_CR19","unstructured":"Tkachuk, D.C., Hirschmann, J.V., Wintrobe, M.M.: Wintrobe\u2019s Atlas of Clinical Hematology. Lippincott Williams & Wilkins, Philadelphia (2007)"},{"issue":"8","key":"7_CR20","doi-asserted-by":"publisher","first-page":"4220","DOI":"10.1364\/BOE.10.004220","volume":"10","author":"BP Yakimov","year":"2019","unstructured":"Yakimov, B.P., et al.: Label-free characterization of white blood cells using fluorescence lifetime imaging and flow-cytometry: molecular heterogeneity and erythrophagocytosis. Biomed. Opt. Express 10(8), 4220\u20134236 (2019)","journal-title":"Biomed. Opt. Express"}],"container-title":["Lecture Notes in Computer Science","Medical Optical Imaging and Virtual Microscopy Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16961-8_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T06:04:02Z","timestamp":1663308242000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16961-8_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031169601","9783031169618"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16961-8_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"15 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MOVI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"movi2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/view\/movi2022","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}