{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T15:05:39Z","timestamp":1771599939371,"version":"3.50.1"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030322502","type":"print"},{"value":"9783030322519","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-32251-9_37","type":"book-chapter","created":{"date-parts":[[2019,10,9]],"date-time":"2019-10-09T23:08:49Z","timestamp":1570662529000},"page":"338-346","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Captioning Ultrasound Images Automatically"],"prefix":"10.1007","author":[{"given":"Mohammad","family":"Alsharid","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harshita","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lior","family":"Drukker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre","family":"Chatelain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aris T.","family":"Papageorghiou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. Alison","family":"Noble","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,10]]},"reference":[{"key":"37_CR1","doi-asserted-by":"crossref","unstructured":"Bernardi, R., et al.: Automatic description generation from images: a survey of models, datasets, and evaluation measures. In: IJCAI, pp. 4970\u20134974 (2017)","DOI":"10.24963\/ijcai.2017\/704"},{"key":"37_CR2","doi-asserted-by":"crossref","unstructured":"Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: EMNLP, pp. 1724\u20131734. ACL (2014)","DOI":"10.3115\/v1\/D14-1179"},{"key":"37_CR3","unstructured":"Department of Engineering Science, University of Oxford: PULSE. https:\/\/www.eng.ox.ac.uk\/pulse\/"},{"key":"37_CR4","unstructured":"Elliott, D., Keller, F.: Image description using visual dependency representations. In: EMNLP, pp. 1292\u20131302 (2013)"},{"key":"37_CR5","unstructured":"Goodfellow, I., et al.: Deep Learning (2016)"},{"key":"37_CR6","unstructured":"Google Cloud: Cloud Speech-to-Text. cloud.google.com\/speech-to-text\/"},{"key":"37_CR7","unstructured":"Google Code Archive: Word2Vec (2013). code.google.com\/archive\/p\/word2vec\/"},{"key":"37_CR8","unstructured":"GrammarBot: Grammar Check API. https:\/\/www.grammarbot.io\/"},{"issue":"8","key":"37_CR9","first-page":"1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. NC 9(8), 1735\u20131780 (1997)","journal-title":"NC"},{"key":"37_CR10","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. CoRR abs\/1412.6980 (2015)"},{"key":"37_CR11","unstructured":"Lin, C.Y.: ROUGE: a package for automatic evaluation of summaries. Text Summarization Branches Out (2004)"},{"key":"37_CR12","unstructured":"Lyndon, D., et\u00a0al.: Neural captioning for the Image CLEF 2017 medical image challenges. In: CEUR Workshop Proceedings, vol. 1866 (2017)"},{"issue":"2","key":"37_CR13","doi-asserted-by":"publisher","first-page":"381","DOI":"10.3758\/BRM.42.2.381","volume":"42","author":"PM McCarthy","year":"2010","unstructured":"McCarthy, P.M., Jarvis, S.: MTLD, vocd-D, and HD-D: a validation study of sophisticated approaches to lexical diversity assessment. Behav. Res. Methods 42(2), 381\u2013392 (2010)","journal-title":"Behav. Res. Methods"},{"key":"37_CR14","unstructured":"Mikolov, T., et al.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems (2013)"},{"key":"37_CR15","unstructured":"Ordonez, V., et al.: Im2Text: describing images using 1 million captioned photographs. In: Advances in NIPS, pp. 1143\u20131151 (2011)"},{"key":"37_CR16","doi-asserted-by":"crossref","unstructured":"Papineni, K., et al.: BLEU: a method for automatic evaluation of machine translation. In: Proceedings of the 40th Annual Meeting on ACL, pp. 311\u2013318. ACL (2002)","DOI":"10.3115\/1073083.1073135"},{"key":"37_CR17","doi-asserted-by":"crossref","unstructured":"Pennington, et al.: GloVe: global vectors for word representation. In: EMNLP, pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"37_CR18","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: International Conference on Learning Representations (2015)"},{"key":"37_CR19","unstructured":"Sloetjes, H., Wittenburg, P.: Annotation by category-ELAN and ISO DCR. In: LREC (2008)"},{"key":"37_CR20","doi-asserted-by":"crossref","unstructured":"Tanti, M., et al.: What is the role of recurrent neural networks (RNNs) in an image caption generator? ACL, pp. 51\u201360 (2017)","DOI":"10.18653\/v1\/W17-3506"},{"issue":"3","key":"37_CR21","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1017\/S1351324918000098","volume":"24","author":"M Tanti","year":"2018","unstructured":"Tanti, M., et al.: Where to put the image in an image caption generator. Nat. Lang. Eng. 24(3), 467\u2013489 (2018)","journal-title":"Nat. Lang. Eng."},{"key":"37_CR22","doi-asserted-by":"crossref","unstructured":"Vinyals, O., et al.: Show and tell: a neural image caption generator. In: Proceedings of the IEEE conference on CVPR, pp. 3156\u20133164 (2015)","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"37_CR23","doi-asserted-by":"crossref","unstructured":"You, Q., et al.: Image captioning with semantic attention. In: Proceedings of the IEEE Conference on CVPR, pp. 4651\u20134659 (2016)","DOI":"10.1109\/CVPR.2016.503"},{"issue":"5","key":"37_CR24","doi-asserted-by":"publisher","first-page":"1086","DOI":"10.1007\/s11390-018-1874-8","volume":"33","author":"XH Zeng","year":"2018","unstructured":"Zeng, X.H., et al.: Understanding and generating ultrasound image description. J. Comput. Sci. Technol. 33(5), 1086\u20131100 (2018)","journal-title":"J. Comput. Sci. Technol."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32251-9_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T00:17:12Z","timestamp":1728519432000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32251-9_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030322502","9783030322519"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32251-9_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"10 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2019.org\/","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":"1730","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":"539","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":"31% - 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":"3.07","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":"6.31","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}