{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T23:10:53Z","timestamp":1743117053109,"version":"3.40.3"},"publisher-location":"Wiesbaden","reference-count":12,"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_49","type":"book-chapter","created":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T12:03:50Z","timestamp":1649073830000},"page":"229-234","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Computation of Traveled Distance of Pigs in an Open Field with Fully Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Marcin","family":"Kopaczka","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisa","family":"Ernst","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mareike","family":"Schulz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ren\u00e9","family":"Tolba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dorit","family":"Merhof","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,5]]},"reference":[{"key":"49_CR1","unstructured":"Hall C, Ballachey EL. A study of the rat\u2019s behavior in a field. A contribution to method in comparative psychology. University of California Publications in Psychology. 1932."},{"key":"49_CR2","doi-asserted-by":"crossref","unstructured":"Walsh RN, Cummins RA. The open-field test: a critical review. Psychol Bull. 1976;83(3):482.","DOI":"10.1037\/0033-2909.83.3.482"},{"key":"49_CR3","doi-asserted-by":"crossref","unstructured":"Seibenhener ML,Wooten MC. Use of the open field maze to measure locomotor and anxietylike behavior in mice. J Vis Exp. 2015;(96):e52434.","DOI":"10.3791\/52434"},{"key":"49_CR4","doi-asserted-by":"crossref","unstructured":"De Chaumont F, Coura RDS, Serreau P, Cressant A, Chabout J, Granon S et al. Computerized video analysis of social interactions in mice. Nat Methods. 2012;9(4):410\u20137.","DOI":"10.1038\/nmeth.1924"},{"key":"49_CR5","doi-asserted-by":"crossref","unstructured":"Mathis A, Mamidanna P, Cury KM, Abe T, Murthy VN, Mathis MW et al. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat Neurosci. 2018;21(9):1281\u20139.","DOI":"10.1038\/s41593-018-0209-y"},{"key":"49_CR6","doi-asserted-by":"crossref","unstructured":"Noldus LP, Spink AJ, Tegelenbosch RA. EthoVision: a versatile video tracking system for automation of behavioral experiments. Behav Res Methods Instrum Comput. 2001;33(3):398\u2013 414.","DOI":"10.3758\/BF03195394"},{"key":"49_CR7","unstructured":"Verwendung von Versuchstieren. 2019."},{"key":"49_CR8","doi-asserted-by":"crossref","unstructured":"Schulz M, Kopaczka M, Zieglowski L, Tolba R. The open field test as a tool for behaviour analysis in pigs: is a standardization of setup necessary? A systematic review. bioRxiv. 2021.","DOI":"10.1101\/2021.09.27.461927"},{"key":"49_CR9","doi-asserted-by":"crossref","unstructured":"Lind NM, Vinther M, Hemmingsen RP, Hansen AK. Validation of a digital video tracking system for recording pig locomotor behaviour. J Neurosci Methods. 2005;143(2):123\u201332.","DOI":"10.1016\/j.jneumeth.2004.09.019"},{"key":"49_CR10","doi-asserted-by":"crossref","unstructured":"Matthews SG, Miller AL, Pl\u00f6tz T, Kyriazakis I. Automated tracking to measure behavioural changes in pigs for health and welfare monitoring. Sci Rep. 2017;7(1):1\u201312.","DOI":"10.1038\/s41598-017-17451-6"},{"key":"49_CR11","unstructured":"Tan M, Le Q. Efficientnet: rethinking model scaling for convolutional neural networks. International Conference on Machine Learning. PMLR. 2019:6105\u201314."},{"key":"49_CR12","doi-asserted-by":"crossref","unstructured":"Kopaczka M, Jacob T, Ernst L, Schulz M, Tolba R, Merhof D. Robust open field rodent tracking using a fully convolutional network and a Softargmax distance loss. Bildverarbeitung f\u00fcr die Medizin 2020. Springer, 2020:242\u20137.","DOI":"10.1007\/978-3-658-29267-6_54"}],"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_49","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T05:06:14Z","timestamp":1654491974000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-658-36932-3_49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783658369316","9783658369323"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-658-36932-3_49","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"}}]}}