{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T06:34:15Z","timestamp":1787207655477,"version":"build-2736575974"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2019,2,4]],"date-time":"2019-02-04T00:00:00Z","timestamp":1549238400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Surg Endosc"],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1007\/s00464-019-06677-2","type":"journal-article","created":{"date-parts":[[2019,2,4]],"date-time":"2019-02-04T15:56:02Z","timestamp":1549295762000},"page":"3790-3797","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":101,"title":["Spotting malignancies from gastric endoscopic images using deep learning"],"prefix":"10.1007","volume":"33","author":[{"given":"Jang Hyung","family":"Lee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Young Jae","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoon Woo","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sungjin","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youn-i","family":"Choi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoon Jae","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong Kyun","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9714-6038","authenticated-orcid":false,"given":"Kwang Gi","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun-Won","family":"Chung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,2,4]]},"reference":[{"key":"6677_CR1","unstructured":"World Cancer Report 2014 (2014) World Health Organization"},{"key":"6677_CR2","unstructured":"http:\/\/globocan.iarc.fr\n                    \n                  . Accessed 23 Jan 2019"},{"key":"6677_CR3","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1186\/1471-230X-13-128","volume":"13","author":"K Watanabe","year":"2013","unstructured":"Watanabe K, Nagata N, Shimbo T, Nakashima R, Furuhata E, Sakurai T, Akazawa N, Yokoi C, Kobayakawa M, Akiyama J, Mizokami M, Uemura N (2013) Accuracy of endoscopic diagnosis of Helicobacter pylori infection according to level of endoscopic experience and the effect of training. BMC Gastroenterol 13:128","journal-title":"BMC Gastroenterol"},{"issue":"2","key":"6677_CR4","doi-asserted-by":"publisher","first-page":"E46","DOI":"10.1055\/s-0034-1365524","volume":"2","author":"S Menon","year":"2014","unstructured":"Menon S, Trudgill N (2014) How commonly is upper gastrointestinal cancer missed at endoscopy? A meta-analysis. Endosc Int Open 2(2):E46\u2013E50","journal-title":"Endosc Int Open"},{"issue":"6","key":"6677_CR5","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1155\/2015\/789038","volume":"29","author":"MA Almadi","year":"2015","unstructured":"Almadi MA, Sewitch M, Barkun AN (2015) Adenoma detection rates decline with increasing procedural hours in an endoscopist\u2019s workload. Can J Gastroenterol Hepatol 29(6):304\u2013308","journal-title":"Can J Gastroenterol Hepatol"},{"key":"6677_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 (2015) Deep learning. Nature 521:436\u2013444","journal-title":"Nature"},{"issue":"2","key":"6677_CR7","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1097\/MCG.0000000000000104","volume":"49","author":"R Miyaki","year":"2015","unstructured":"Miyaki R, Yoshida S, Tanaka S, Kominami Y, Sanomura Y, Matsuo T, Oka S, Raytchev B, Tamaki T, Koide T, Kaneda K, Yoshihara M, Chayama K (2015) A computer system to be used with laser-based endoscopy for quantitative diagnosis of early gastric cancer. J Clin Gastroenterol 49(2):108\u2013115","journal-title":"J Clin Gastroenterol"},{"issue":"9","key":"6677_CR8","doi-asserted-by":"publisher","first-page":"e0185508","DOI":"10.1371\/journal.pone.0185508","volume":"12","author":"X Zhang","year":"2017","unstructured":"Zhang X, Hu W, Chen F, Liu J, Yang Y, Wang L, Duan H, Si J (2017) Gastric precancerous diseases classification using CNN with a concise model. PLoS ONE 12(9):e0185508","journal-title":"PLoS ONE"},{"key":"6677_CR9","unstructured":"Zhu R, Zhang R, Xue D (2015) Gastric precancerous diseases classification using CNN with a concise model. In: 2015 8th International Congress on Image and Signal Processing (CISP) 14\u201316 Oct"},{"key":"6677_CR10","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/9545920","author":"M Billah","year":"2017","unstructured":"Billah M, Waheed S, Rahman MM (2017) An automatic gastrointestinal polyp detection system in video endoscopy using fusion of color wavelet and convolutional neural network features. Int J Biomed Imaging. \n                    https:\/\/doi.org\/10.1155\/2017\/9545920","journal-title":"Int J Biomed Imaging"},{"key":"6677_CR11","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1136\/gutjnl-2017-314547","volume":"68","author":"MF Byrne","year":"2017","unstructured":"Byrne MF, Chapados N, Soudan F, Oertel C, Linares PM, Kelly R, Iqbal N, Chandelier F, Rex DK (2017) Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model. Gut 68:94\u2013100","journal-title":"Gut"},{"key":"6677_CR12","doi-asserted-by":"crossref","unstructured":"Tajbakhsh N (2015) Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks. In: IEEE 12th International Symposium on Biomedical Imaging (ISBI)","DOI":"10.1109\/ISBI.2015.7163821"},{"issue":"4","key":"6677_CR13","doi-asserted-by":"publisher","first-page":"1032","DOI":"10.1109\/TBME.2008.2010526","volume":"56","author":"B Li","year":"2009","unstructured":"Li B, Meng MQ (2009) Computer-aided detection of bleeding regions for capsule endoscopy images. IEEE Trans Biomed Eng 56(4):1032\u20131039","journal-title":"IEEE Trans Biomed Eng"},{"issue":"8","key":"6677_CR14","doi-asserted-by":"publisher","first-page":"E690","DOI":"10.1055\/s-0043-105490","volume":"5","author":"N Tamai","year":"2017","unstructured":"Tamai N, Saito Y, Sakamoto T, Nakajima T, Matsuda T, Sumiyama K, Tajiri H, Koyama R, Kido S (2017) Effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study. Endosc Int Open 5(8):E690\u2013E694","journal-title":"Endosc Int Open"},{"key":"6677_CR15","doi-asserted-by":"publisher","first-page":"2606","DOI":"10.3141\/2606-14","volume":"2606","author":"LM Clements","year":"2017","unstructured":"Clements LM, Kockelman KM (2017) Economic effects of automated vehicles. J Transp Res Board 2606:2606\u20132614","journal-title":"J Transp Res Board"},{"key":"6677_CR16","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1038\/nature16961","volume":"529","author":"D Silver","year":"2016","unstructured":"Silver D, Huang A, Maddison CJ, Guez A, Sifre L, Driessche G, Schrittwieser J (2016) Mastering the game of Go with deep neural networks and tree search. Nature 529:484\u2013489","journal-title":"Nature"},{"issue":"4","key":"6677_CR17","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1097\/00115514-200307000-00008","volume":"48","author":"D Gerhardus","year":"2003","unstructured":"Gerhardus D (2003) Robot-assisted surgery: the future is here. J Healthc Manag 48(4):242\u2013251","journal-title":"J Healthc Manag"},{"key":"6677_CR18","unstructured":"Maroulis DE, Savelonas MA, Karkanis SA, Iakovidis DK, Dimitropoulos N (2005) Computer-aided thyroid nodule detection in ultrasound images. Proceedings of the 18th IEEE symposium on computer-based medical systems (CBMS\u201905)"},{"issue":"3","key":"6677_CR19","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/S0734-189X(87)80186-X","volume":"39","author":"SM Pizer","year":"1987","unstructured":"Pizer SM, Amburn EP, Austin JD, Cromartie R, Geselowitz A, Greer T, Romeny B, Zimmerman JB, Zuiderveld K (1987) Adaptive histogram equalization and its variations. Comput Vis Graph Image Process 39(3):355\u2013368","journal-title":"Comput Vis Graph Image Process"},{"key":"6677_CR20","first-page":"474","volume-title":"Contrast limited adaptive histogram equalization. Graphics gems IV","author":"K Zuiderveld","year":"1994","unstructured":"Zuiderveld K (1994) Contrast limited adaptive histogram equalization. Graphics gems IV. Academic Press Professional, Inc., San Diego, pp\u00a0474\u2013485"},{"key":"6677_CR21","doi-asserted-by":"crossref","unstructured":"Deng J, Dong W, Socher R, Li LJ, Li K, Fei-Fei L (2009) ImageNet: a large-scale hierarchical image database. In: Proceedings of IEEE conference on computer vision and pattern recognition, pp.\u00a0248\u2013255","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"6677_CR22","first-page":"1097","volume":"1","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) ImageNet classification with deep convolutional neural networks. NIPS 1:1097\u20131105","journal-title":"NIPS"},{"key":"6677_CR23","doi-asserted-by":"crossref","unstructured":"Szegedy C, Liu W, Jia Y, Sermanet P, Reed S, Anguelov D, Vanhoucke V, Rabinovich A (2015) Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1\u20139","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"6677_CR24","doi-asserted-by":"crossref","unstructured":"He K, Zhang C, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"key":"6677_CR25","unstructured":"Canziani A, Paszke A, Culurciello E (2016) An analysis of deep neural network models for practical applications. ArXiv:1605.07678"},{"key":"6677_CR26","first-page":"97","volume":"27","author":"GMY Dauphin","year":"2012","unstructured":"Dauphin GMY, Glorot X, Rifai S, Bengio Y, Goodfellow I, Lavoie E, Muller X, Desjardins G, Warde-Farley D, Vincent P, Courville A, Bergstra J (2012) Unsupervised and transfer learning challenge: a deep learning approach. JMLR 27:97\u2013110","journal-title":"JMLR"},{"issue":"7639","key":"6677_CR27","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1038\/nature21056","volume":"542","author":"A Esteva","year":"2017","unstructured":"Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639):115\u2013118","journal-title":"Nature"},{"key":"6677_CR28","doi-asserted-by":"crossref","unstructured":"Pogorelov K, Randel KR, Griwodz C, Eskeland SL, de Lange T, Johansen D, Spampinato C, Nguyen DTD, Lux M, Schmidt PT, Riegler M, Halvorsen P (2017) Kvasir: a multi-class image dataset for computer aided gastrointestinal disease detection. In: Proceedings of the 8th ACM on Multimedia Systems Conference, Pages 164\u2013169","DOI":"10.1145\/3083187.3083212"}],"container-title":["Surgical Endoscopy"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00464-019-06677-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00464-019-06677-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00464-019-06677-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,3]],"date-time":"2020-02-03T19:26:03Z","timestamp":1580757963000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00464-019-06677-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,4]]},"references-count":28,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2019,11]]}},"alternative-id":["6677"],"URL":"https:\/\/doi.org\/10.1007\/s00464-019-06677-2","relation":{},"ISSN":["0930-2794","1432-2218"],"issn-type":[{"value":"0930-2794","type":"print"},{"value":"1432-2218","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2,4]]},"assertion":[{"value":"17 July 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 January 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 February 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"Authors Jang Hyung Lee, Young Jae Kim, Yoon Woo Kim, Sungjin Park, Yoon Yi Choi, Yoon Jae Kim, Dong Kyun Park, Kwang Gi Kim, and Jun-Won Chung have no financial arrangement or affiliation with any product or services used or discussed in this paper, nor any potential bias against another product or service. The authors declare that there are no conflicts of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure"}}]}}