{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T18:12:36Z","timestamp":1774894356413,"version":"3.50.1"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030007669","type":"print"},{"value":"9783030007676","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-030-00767-6_38","type":"book-chapter","created":{"date-parts":[[2018,9,18]],"date-time":"2018-09-18T07:54:58Z","timestamp":1537257298000},"page":"408-417","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Skeletal Bone Age Assessment Based on\u00a0Deep Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Pengyi","family":"Hao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yijing","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sharon","family":"Chokuwa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuli","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cong","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,19]]},"reference":[{"issue":"5","key":"38_CR1","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1109\/TMI.2016.2535865","volume":"35","author":"M Anthimopoulos","year":"2016","unstructured":"Anthimopoulos, M., Christodoulidis, S., Ebner, L., Christe, A., Mougiakakou, S.: Lung pattern classification for interstitial lung diseases using a deep convolutional neural network. IEEE Trans. Med. Imaging 35(5), 1207\u20131216 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"38_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/med\/9780199782055.001.0001","volume-title":"Skeletal Development of the Hand and Wrist","author":"Cree M. Gaskin","year":"2011","unstructured":"Gaskin, C., Kahn, S., Bertozzi, J., Bunch, P.: Skeletal Development of the Hand and Wrist: A Radiographic Atlas and Digital Bone Age Companion (2011)"},{"issue":"5","key":"38_CR3","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1109\/TMI.2016.2553401","volume":"35","author":"H Greenspan","year":"2016","unstructured":"Greenspan, H., van Ginneken, B., Summers, R.: Guest editorial deep learning in medical imaging: overview and future promise of an exciting new technique. IEEE Trans. Med. Imaging 35(5), 1153\u20131159 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"38_CR4","volume-title":"Radiographic Atlas of Skeletal Development of the Hand and Wrist","author":"W Greulich","year":"1959","unstructured":"Greulich, W., Pyle, S.: Radiographic Atlas of Skeletal Development of the Hand and Wrist. Stanford University Press, Stanford (1959)"},{"key":"38_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-1795-9_176","volume-title":"Handbook of Growth and Growth Monitoring in Health and Disease","author":"K Khan","year":"2012","unstructured":"Khan, K., Elayappen, A.: Bone Growth Estimation Using Radiology (Greulich-Pyle and Tanner-Whitehouse Methods). In: Preedy, V. (ed.) Handbook of Growth and Growth Monitoring in Health and Disease. Springer, New York (2012). https:\/\/doi.org\/10.1007\/978-1-4419-1795-9_176"},{"issue":"7553","key":"38_CR6","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 (2015)","journal-title":"Nature"},{"issue":"4","key":"38_CR7","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1007\/s10278-017-9955-8","volume":"30","author":"H Lee","year":"2017","unstructured":"Lee, H., et al.: Fully automated deep learning system for bone age assessment. J. Digit. Imaging 30(4), 427\u2013441 (2017)","journal-title":"J. Digit. Imaging"},{"issue":"11","key":"38_CR8","doi-asserted-by":"publisher","first-page":"2369","DOI":"10.1109\/TMI.2016.2546227","volume":"35","author":"P Liskowski","year":"2016","unstructured":"Liskowski, P., Krawiec, K.: Segmenting retinal blood vessels with deep neural networks. IEEE Trans. Med. Imaging 35(11), 2369\u20132380 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"10","key":"38_CR9","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1016\/S1076-6332(99)80261-X","volume":"6","author":"CA Bonawitz","year":"1999","unstructured":"Bonawitz, C.A.: Practical pediatric imaging: diagnostic radiology of infants and children. Acad. Radiol. 6(10), 607 (1999)","journal-title":"Acad. Radiol."},{"issue":"9","key":"38_CR10","first-page":"1041","volume":"131","author":"A Poznanski","year":"1977","unstructured":"Poznanski, A.: Assessment of skeletal maturity and prediction of adult height (TW2 method). Am. J. Dis. Child. 131(9), 1041\u20131042 (1977)","journal-title":"Am. J. Dis. Child."},{"key":"38_CR11","doi-asserted-by":"crossref","unstructured":"Seok, J., Hyun, B., Kasa-Vubu, J., Girard, A.: Automated classification system for bone age x-ray images. In: 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 208\u2013213. IEEE (2012)","DOI":"10.1109\/ICSMC.2012.6377701"},{"key":"38_CR12","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: ICML (2015)"},{"issue":"6","key":"38_CR13","doi-asserted-by":"publisher","first-page":"1044","DOI":"10.1007\/s10278-011-9372-3","volume":"24","author":"K Somkantha","year":"2011","unstructured":"Somkantha, K., Theera-Umpon, N., Auephanwiriyakul, S.: Bone age assessment in young children using automatic carpal bone feature extraction and support vector regression. J. Digit. Imaging 24(6), 1044\u20131058 (2011)","journal-title":"J. Digit. Imaging"},{"key":"38_CR14","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.media.2016.10.010","volume":"36","author":"C Spampinato","year":"2016","unstructured":"Spampinato, C., Palazzo, S., Giordano, D.: Deep learning for automated skeletal bone age assessment in x-ray images. Med. Image Anal. 36, 41\u201351 (2016)","journal-title":"Med. Image Anal."},{"issue":"1","key":"38_CR15","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/TMI.2008.926067","volume":"28","author":"HH Thodberg","year":"2009","unstructured":"Thodberg, H.H., Kreiborg, S., Juul, A., Pedersen, K.: The bonexpert method for automated determination of skeletal maturity. IEEE Trans. Med. Imaging 28(1), 52\u201366 (2009)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"4\u20135","key":"38_CR16","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.compmedimag.2007.02.008","volume":"31","author":"A Zhang","year":"2007","unstructured":"Zhang, A., Gertych, A., Liu, B.J.: Automatic bone age assessment for young children from newborn to 7-year-old using carpal bones. Comput. Med. Imaging Graph. 31(4\u20135), 299\u2013310 (2007)","journal-title":"Comput. Med. Imaging Graph."}],"container-title":["Lecture Notes in Computer Science","Advances in Multimedia Information Processing \u2013 PCM 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00767-6_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:28:37Z","timestamp":1709832517000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00767-6_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030007669","9783030007676"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00767-6_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"19 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PCM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim Conference on Multimedia","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hefei","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pcm2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/pcm2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}