{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T23:18:32Z","timestamp":1742944712008,"version":"3.40.3"},"publisher-location":"Wiesbaden","reference-count":9,"publisher":"Springer Fachmedien Wiesbaden","isbn-type":[{"type":"print","value":"9783658369316"},{"type":"electronic","value":"9783658369323"}],"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\/978-3-658-36932-3_48","type":"book-chapter","created":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T12:03:50Z","timestamp":1649073830000},"page":"223-228","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain"],"prefix":"10.1007","author":[{"given":"Sonja","family":"Kunzmann","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Marzahl","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felix","family":"Denzinger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christof","family":"Bertram","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Klopfleisch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katharina","family":"Breininger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincent","family":"Christlein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Maier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,5]]},"reference":[{"key":"48_CR1","doi-asserted-by":"crossref","unstructured":"Marzahl C, Aubreville M, Bertram C, Gerlach S, Maier J, Voigt J et al. Is crowd-algorithm collaboration an advanced alternative to crowd-sourcing on cytology slides? Bildverarbeitung f\u00fcr die Medizin 2020. 2020:26\u201331.","DOI":"10.1007\/978-3-658-29267-6_5"},{"key":"48_CR2","doi-asserted-by":"crossref","unstructured":"Marzahl C, Aubreville M, Bertram CA, Maier J, Bergler C, Kr\u00f6ger C et al. EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control. Sci Rep. 2021;11(1):1\u201311.","DOI":"10.1038\/s41598-021-83827-4"},{"key":"48_CR3","doi-asserted-by":"crossref","unstructured":"Marzahl C, Bertram CA, Wilm F, voigt J, Bartom AK, Klopfleisch R et al. Learning to be EXACT, cell detection for asthma on partially annotated whole slide images. 2021.","DOI":"10.1007\/978-3-658-33198-6_36"},{"key":"48_CR4","doi-asserted-by":"crossref","unstructured":"Khakpour A, Colomo-Palacios R. Convergence of gamification and machine learning: a systematic literature review. Technology, Knowledge and Learning. 2021;26.","DOI":"10.1007\/s10758-020-09456-4"},{"key":"48_CR5","doi-asserted-by":"crossref","unstructured":"Servadei L, Schmidt R, Eidelloth C, Maier A. Medical monkeys: a crowdsourcing approach to medical big data. On the Move to Meaningful Internet Systems. OTM 2017 Workshops. Springer. 2017:87\u201397.","DOI":"10.1007\/978-3-319-73805-5_9"},{"key":"48_CR6","doi-asserted-by":"crossref","unstructured":"Zhu JY, Park T, Isola P, Efros AA. Unpaired image-to-image translation using cycleconsistent adversarial networks. arXiv. 2020.","DOI":"10.1007\/978-3-030-58545-7_19"},{"key":"48_CR7","doi-asserted-by":"crossref","unstructured":"Bousmalis K, Silberman N, Dohan D, Erhan D, Krishnan D.Unsupervised pixel-level domain adaptation with generative adversarial networks. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017.","DOI":"10.1109\/CVPR.2017.18"},{"key":"48_CR8","unstructured":"Nilsback ME, Zissermann A. 17 category flower dataset. url: https:\/\/www.robots.ox. ac.uk\/~vgg\/data\/flowers\/17\/. (accessed: 26.10.2021)."},{"key":"48_CR9","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J. Deep residual learning for image recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016:770\u20138.","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["Informatik aktuell","Bildverarbeitung f\u00fcr die Medizin 2022"],"original-title":[],"language":"de","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-658-36932-3_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,19]],"date-time":"2023-11-19T16:23:00Z","timestamp":1700410980000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-658-36932-3_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783658369316","9783658369323"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-658-36932-3_48","relation":{},"ISSN":["1431-472X"],"issn-type":[{"type":"print","value":"1431-472X"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"5 April 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}