{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T21:51:13Z","timestamp":1787003473196,"version":"build-2736575974"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T00:00:00Z","timestamp":1704153600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T00:00:00Z","timestamp":1704153600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100012543","name":"Shanghai Science and Technology Development Foundation","doi-asserted-by":"publisher","award":["No. 21DZ2200700"],"award-info":[{"award-number":["No. 21DZ2200700"]}],"id":[{"id":"10.13039\/100012543","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Medical Engineering Fund of Fudan University, which is a fund to young researchers with Fudan University. The fund has no Grant Reference Number."}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Data"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Early and accurate diagnosis of ear deformities in newborns is crucial for an effective non-surgical correction treatment, since this commonly seen ear anomalies would affect aesthetics and cause mental problems if untreated. It is not easy even for experienced physicians to diagnose the auricular deformities of newborns and the classification of the sub-types, because of the rich bio-metric features embedded in the ear shape. Machine learning has already been introduced to analyze the auricular shape. However, there is little publicly available datasets of ear images from newborns. We released a dataset that contains quality-controlled photos of 3,852 ears from 1,926 newborns. The dataset also contains medical diagnosis of the ear shape, and the health data of each newborn and its mother. Our aim is to provide a freely accessible dataset, which would facilitate researches related with ear anatomies, such as the AI-aided detection and classification of auricular deformities and medical risk analysis.<\/jats:p>","DOI":"10.1038\/s41597-023-02834-4","type":"journal-article","created":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T11:07:50Z","timestamp":1704193670000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A publicly available newborn ear shape dataset for medical diagnosis of auricular deformities"],"prefix":"10.1038","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4230-3734","authenticated-orcid":false,"given":"Liu-Jie","family":"Ren","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi-Wei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-Li","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin-Yue","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen-Long","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"You-Zhou","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji-Mei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian-Yu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2947-8783","authenticated-orcid":false,"given":"Shuo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yao-Yao","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,1,2]]},"reference":[{"issue":"1","key":"2834_CR1","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1097\/PRS.0000000000003443","volume":"140","author":"H Zhao","year":"2017","unstructured":"Zhao, H. et al. A morphometric study of the newborn ear and an analysis of factors related to congenital auricular deformities. Plast Reconstr Surg. 140(1), 147\u2013155 (2017).","journal-title":"Plast Reconstr Surg."},{"issue":"4","key":"2834_CR2","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1097\/PRS.0b013e3181e617bb","volume":"126","author":"HS Byrd","year":"2010","unstructured":"Byrd, H. S., Langevin, C. J. & Ghidoni, L. A. Ear molding in newborn infants with auricular deformities. Plast Reconstr Surg. 126(4), 1191\u20131200 (2010).","journal-title":"Plast Reconstr Surg."},{"key":"2834_CR3","doi-asserted-by":"publisher","first-page":"S37","DOI":"10.1016\/j.bjps.2007.09.002","volume":"61","author":"JM Du","year":"2008","unstructured":"Du, J. M. et al. An investigation of psychological profiles and risk factors in congenital microtia patients. J. Plast Reconstr Aes. 61, S37\u2013S43 (2008).","journal-title":"J. Plast Reconstr Aes."},{"issue":"3","key":"2834_CR4","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/S0094-1298(20)32138-6","volume":"5","author":"FC MacGregor","year":"1978","unstructured":"MacGregor, F. C. Ear deformities: social and psychological implications. Clin Plast Surg. 5(3), 347\u2013350 (1978).","journal-title":"Clin Plast Surg."},{"key":"2834_CR5","doi-asserted-by":"publisher","DOI":"10.1097\/PRS.0000000000010678","author":"L Chen","year":"2023","unstructured":"Chen, L. et al. Long-term effectiveness of ear molding and factors affecting outcomes. Plast Reconstr Surg. https:\/\/doi.org\/10.1097\/PRS.0000000000010678 (2023)."},{"key":"2834_CR6","doi-asserted-by":"publisher","first-page":"9906629","DOI":"10.3389\/fped.2022.990629","volume":"10","author":"L Chen","year":"2022","unstructured":"Chen, L. et al. Using ear molding to correct auricular helix adhesion deformity. Front Pediatr. 10, 9906629 (2022).","journal-title":"Front Pediatr."},{"key":"2834_CR7","doi-asserted-by":"crossref","unstructured":"Srivastava, P., Agrawal, D. & Bansal, A. Ear detection and recognition techniques: a comparative review. Advances in Data and Information Sciences: Proceedings of ICDIS 2019. 533\u2013543 (2020).","DOI":"10.1007\/978-981-15-0694-9_50"},{"key":"2834_CR8","doi-asserted-by":"publisher","first-page":"2414","DOI":"10.1109\/ICMLC.2009.5212166","volume":"4","author":"L Yuan","year":"2009","unstructured":"Yuan, L. & Zhang, F. Ear detection based on improved AdaBoost algorithm. 2009 International Conference on Machine Learning and Cybernetics. IEEE. 4, 2414\u20132417 (2009).","journal-title":"2009 International Conference on Machine Learning and Cybernetics. IEEE."},{"key":"2834_CR9","doi-asserted-by":"crossref","unstructured":"Yuan, L., Mao, J. & Zheng, H. Ear detection based on CenterNet. 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology. 349\u2013353 (2020).","DOI":"10.1109\/ICCASIT50869.2020.9368856"},{"key":"2834_CR10","doi-asserted-by":"crossref","unstructured":"Yaman, D., F. I.N.H. K.et al. Age and gender classification from ear images. 2018 International Workshop on Biometrics and Forensics (IWBF). IEEE. 1\u20137 (2018).","DOI":"10.1109\/IWBF.2018.8401568"},{"key":"2834_CR11","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/978-81-322-1000-9_13","volume":"2","author":"P Gnanasivam","year":"2013","unstructured":"Gnanasivam, P. & Muttan, S. Gender classification using ear biometrics. Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). 2, 137\u2013148 (2013).","journal-title":"Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012)."},{"issue":"7","key":"2834_CR12","doi-asserted-by":"publisher","first-page":"2383","DOI":"10.1007\/s00371-021-02119-0","volume":"38","author":"A Kamboj","year":"2022","unstructured":"Kamboj, A., Rani, R. & Nigam, A. A comprehensive survey and deep learning-based approach for human recognition using ear biometric. The Visual Computer. 38(7), 2383\u20132416 (2022).","journal-title":"The Visual Computer."},{"key":"2834_CR13","unstructured":"Hurley, D. J., Arbab-Zavar, B. & Nixon, M. S. The ear as a biometric, 2007 15th European Signal Processing Conference. IEEE. 25\u201329 (2007)."},{"issue":"1","key":"2834_CR14","doi-asserted-by":"publisher","first-page":"18198","DOI":"10.1038\/s41598-019-54779-7","volume":"9","author":"RR Hallac","year":"2019","unstructured":"Hallac, R. R., Lee, J., Pressler, M., Seaward, J. R. & Kane, A. A. Identifying ear abnormality from 2D photographs using convolutional neural networks. Sci Rep-UK. 9(1), 18198 (2019).","journal-title":"Sci Rep-UK."},{"issue":"1","key":"2834_CR15","doi-asserted-by":"publisher","first-page":"17875","DOI":"10.1038\/s41598-021-97310-7","volume":"11","author":"RR Hallac","year":"2021","unstructured":"Hallac, R. R. et al. Assessing outcomes of ear molding therapy by health care providers and convolutional neural network. Sci Rep-UK. 11(1), 17875 (2021).","journal-title":"Sci Rep-UK."},{"key":"2834_CR16","doi-asserted-by":"publisher","first-page":"104630","DOI":"10.1016\/j.dib.2019.104630","volume":"27","author":"VT Hoang","year":"2019","unstructured":"Hoang, V. T. EarVN1.0: A new large-scale ear images dataset in the wild. Data Brief. 27, 104630 (2019).","journal-title":"Data Brief."},{"key":"2834_CR17","doi-asserted-by":"crossref","unstructured":"Raposo, R., Hoyle, E., Peixinho, A. &. Proenca, H. UBEAR: A dataset of ear images captured on-the-move in uncontrolled conditions, 2011 IEEE workshop on computational intelligence in biometrics and identity management (CIBIM). IEEE. 84\u201390 (2011).","DOI":"10.1109\/CIBIM.2011.5949208"},{"key":"2834_CR18","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Mu, Z., Yuan, L., Yu, C. & Liu, Q. USTB-Helloear: A large database of ear images photographed under uncontrolled conditions. In: Image and Graphics, ICIG 2017 (ed. Zhao, Y., Kong, X. & Taubman, D.), Part II (Springer International Publishing, 2017).","DOI":"10.1007\/978-3-319-71589-6_35"},{"key":"2834_CR19","doi-asserted-by":"publisher","DOI":"10.6084\/m9.figshare.c.6841596.v1","author":"LJ Ren","year":"2023","unstructured":"Ren, LJ. et al. A publicly available newborn ear shape dataset for medical diagnosis of auricle deformities, figshare, https:\/\/doi.org\/10.6084\/m9.figshare.c.6841596.v1 (2023)."},{"issue":"2","key":"2834_CR20","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1111\/j.1467-9280.1990.tb00079.x","volume":"1","author":"JH Langlois","year":"1990","unstructured":"Langlois, J. H. & Roggman, L. A. Attractive faces are only average. Phychol Sci. 1(2), 115\u2013121 (1990).","journal-title":"Phychol Sci."}],"container-title":["Scientific Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41597-023-02834-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41597-023-02834-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41597-023-02834-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T15:04:24Z","timestamp":1704467064000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41597-023-02834-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,2]]},"references-count":20,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["2834"],"URL":"https:\/\/doi.org\/10.1038\/s41597-023-02834-4","relation":{"references":[{"id-type":"doi","id":"10.1097\/PRS.0000000000010678","asserted-by":"subject"},{"id-type":"doi","id":"10.6084\/m9.figshare.c.6841596.v1","asserted-by":"subject"}]},"ISSN":["2052-4463"],"issn-type":[{"value":"2052-4463","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,2]]},"assertion":[{"value":"17 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 December 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 January 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"13"}}