{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T22:40:34Z","timestamp":1785796834494,"version":"3.56.0"},"reference-count":20,"publisher":"Elsevier BV","issue":"1","license":[{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Auris Nasus Larynx"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1016\/j.anl.2021.03.018","type":"journal-article","created":{"date-parts":[[2021,4,3]],"date-time":"2021-04-03T23:31:47Z","timestamp":1617492707000},"page":"11-17","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":22,"title":["Application of artificial intelligence using a convolutional neural network for detecting cholesteatoma in endoscopic enhanced images"],"prefix":"10.1016","volume":"49","author":[{"given":"Toru","family":"Miwa","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryosei","family":"Minoda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomoya","family":"Yamaguchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shin-ichiro","family":"Kita","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kazuto","family":"Osaka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroki","family":"Takeda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shin-ichi","family":"Kanemaru","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koichi","family":"Omori","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.anl.2021.03.018_bib0001","doi-asserted-by":"crossref","first-page":"1463","DOI":"10.1097\/MAO.0000000000001587","article-title":"Risk factors of recurrence in pediatric congenital cholesteatoma","volume":"38","author":"Morita","year":"2017","journal-title":"Otol Neurotol"},{"key":"10.1016\/j.anl.2021.03.018_bib0002","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1097\/MAO.0b013e318181337f","article-title":"The investigation of the recurrence rate of cholesteatoma using Kaplan\u2013Meier survival analysis","volume":"29","author":"Mishiro","year":"2008","journal-title":"Otol Neurotol"},{"key":"10.1016\/j.anl.2021.03.018_bib0003","article-title":"Transcanal endoscopic ear surgery for congenital cholesteatoma: a preliminary report","volume":"1","author":"Sun","year":"2017","journal-title":"Arch Otorhinolaryngol Neck Surg"},{"key":"10.1016\/j.anl.2021.03.018_bib0004","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.ijporl.2014.12.008","article-title":"Endoscopic exclusive transcanal approach to the tympanic cavity cholesteatoma in pediatric patients: our experience","volume":"79","author":"Marchioni","year":"2015","journal-title":"Int J Pediatr Otorhinolaryngol"},{"key":"10.1016\/j.anl.2021.03.018_bib0005","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1097\/MOO.0000000000000296","article-title":"Principles of endoscopic ear surgery","volume":"24","author":"Tarabichi","year":"2016","journal-title":"Curr Opin Otolaryngol Head Neck Surg"},{"key":"10.1016\/j.anl.2021.03.018_bib0006","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1097\/MAO.0000000000002276","article-title":"Non-microscopic middle ear cholesteatoma surgery: a case report of a novel head-up approach","volume":"40","author":"Minoda","year":"2019","journal-title":"Otol Neurotol"},{"key":"10.1016\/j.anl.2021.03.018_bib0007","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1007\/s00405-017-4783-5","article-title":"Use of narrow band imaging and 4K technology in otology and neuro-otology: preliminary experience and feasibility study","volume":"275","author":"Zhang","year":"2018","journal-title":"Eur Arch Otorhinolaryngol"},{"key":"10.1016\/j.anl.2021.03.018_bib0008","doi-asserted-by":"crossref","first-page":"3277","DOI":"10.1007\/s00216-015-8580-y","article-title":"Multi-color reflectance imaging of middle ear pathology in vivo","volume":"407","author":"Valdez","year":"2015","journal-title":"Anal Bioanal Chem"},{"key":"10.1016\/j.anl.2021.03.018_bib0009","article-title":"Storz professional image enhancement system: a new technique to improve endoscopic bladder imaging","volume":"08","author":"Kamphuis","year":"2016","journal-title":"J Cancer Sci Ther"},{"key":"10.1016\/j.anl.2021.03.018_bib0010","doi-asserted-by":"crossref","first-page":"e244","DOI":"10.1097\/MAO.0000000000002854","article-title":"Cholesteatoma imaging using a digital image enhancement system during endoscopic ear surgery","volume":"42","author":"Miwa","year":"2021","journal-title":"Otol Neurotol"},{"key":"10.1016\/j.anl.2021.03.018_bib0011","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1038\/nature21056","article-title":"Dermatologist-level classification of skin cancer with deep neural networks","volume":"542","author":"Esteva","year":"2017","journal-title":"Nature"},{"key":"10.1016\/j.anl.2021.03.018_bib0012","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.canlet.2016.05.033","article-title":"Big data and machine learning in radiation oncology: state of the art and future prospects","volume":"382","author":"Bibault","year":"2016","journal-title":"Cancer Lett"},{"key":"10.1016\/j.anl.2021.03.018_bib0013","doi-asserted-by":"crossref","first-page":"2402","DOI":"10.1001\/jama.2016.17216","article-title":"Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs","volume":"316","author":"Gulshan","year":"2016","journal-title":"JAMA - J Am Med Assoc"},{"key":"10.1016\/j.anl.2021.03.018_bib0014","doi-asserted-by":"crossref","first-page":"90719","DOI":"10.18632\/oncotarget.21819","article-title":"Automated histological classification of whole slide images of colorectal biopsy specimens","volume":"8","author":"Yoshida","year":"2017","journal-title":"Oncotarget"},{"key":"10.1016\/j.anl.2021.03.018_bib0015","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1007\/s11548-017-1542-4","article-title":"Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts","volume":"12","author":"Misawa","year":"2017","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"10.1016\/j.anl.2021.03.018_bib0016","series-title":"ImageNet: a large-scale hierarchical image database","first-page":"248","author":"Deng","year":"2010"},{"key":"10.1016\/j.anl.2021.03.018_bib0017","series-title":"Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit.","first-page":"1","article-title":"Going deeper with convolutions","author":"Szegedy","year":"2015"},{"key":"10.1016\/j.anl.2021.03.018_bib0018","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1007\/s10120-018-0793-2","article-title":"Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images","volume":"21","author":"Hirasawa","year":"2018","journal-title":"Gastric Cancer"},{"key":"10.1016\/j.anl.2021.03.018_bib0019","series-title":"Int. Interdiscip. PhD Work. IIPhDW 2018","first-page":"117","article-title":"Data augmentation for improving deep learning in image classification problem","author":"Miko\u0142ajczyk","year":"2018"},{"key":"10.1016\/j.anl.2021.03.018_bib0020","series-title":"Schuknecht's pathology of the ear","author":"Merchant","year":"2010"}],"container-title":["Auris Nasus Larynx"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0385814621000948?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0385814621000948?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T19:37:39Z","timestamp":1759952259000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0385814621000948"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2]]},"references-count":20,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["S0385814621000948"],"URL":"https:\/\/doi.org\/10.1016\/j.anl.2021.03.018","relation":{},"ISSN":["0385-8146"],"issn-type":[{"value":"0385-8146","type":"print"}],"subject":[],"published":{"date-parts":[[2022,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Application of artificial intelligence using a convolutional neural network for detecting cholesteatoma in endoscopic enhanced images","name":"articletitle","label":"Article Title"},{"value":"Auris Nasus Larynx","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.anl.2021.03.018","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Japanese Society of Otorhinolaryngology-Head and Neck Surgery, Inc. Published by Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}