{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:28:24Z","timestamp":1750220904915,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":18,"publisher":"ACM Press","license":[{"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.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1145\/3368926.3369704","type":"proceedings-article","created":{"date-parts":[[2019,12,20]],"date-time":"2019-12-20T13:30:11Z","timestamp":1576848611000},"page":"362-369","source":"Crossref","is-referenced-by-count":3,"title":["Labelling Stomach Anatomical Locations In Upper Gastrointestinal Endoscopic Images Using a CNN"],"prefix":"10.1145","author":[{"given":"Hai","family":"Vu","sequence":"first","affiliation":[{"name":"MICA Institute, HUST Hanoi, Vietnam"}]},{"given":"Xuan Huy","family":"Manh","sequence":"additional","affiliation":[{"name":"MICA Institute, HUST Hanoi, Vietnam"}]},{"given":"Bach Quan","family":"Duc","sequence":"additional","affiliation":[{"name":"MICA Institute, HUST Hanoi, Vietnam"}]},{"given":"Van Kien","family":"Ha","sequence":"additional","affiliation":[{"name":"MICA Institute, HUST Hanoi, Vietnam"}]},{"given":"Viet Hang","family":"Dao","sequence":"additional","affiliation":[{"name":"HMU Inst. of Gastroenterology and Hepatology Hanoi, Vietnam"}]},{"given":"Phuc Binh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Inst. of Gastroenterology and Hepatology Hanoi, Vietnam"}]},{"given":"Bao Long","family":"Hoang","sequence":"additional","affiliation":[{"name":"Inst. of Gastroenterology and Hepatology, Hanoi, Vietnam"}]},{"given":"Thanh Hai","family":"Vu","sequence":"additional","affiliation":[{"name":"Viettel Cooperation Hanoi, Vietnam"}]}],"member":"320","reference":[{"unstructured":"Andre Esteva, Brett Kuprel, Roberto A Novoa, Justin Ko, Susan M Swetter, Helen M Blau, and Sebastian Thrun. 2017. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542, 7639 (2017), 115.","key":"key-10.1145\/3368926.3369704-1"},{"unstructured":"Varun Gulshan, Lily Peng, Marc Coram, Martin C Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros, et al. 2016. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. Jama 316, 22 (2016), 2402--2410.","key":"key-10.1145\/3368926.3369704-2"},{"unstructured":"T. Hirasawa, K. Aoyama, and T. Tanimoto. 2018. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images. Gastric Cancer 21 (2018), 653--660. Issue 4.","key":"key-10.1145\/3368926.3369704-3"},{"doi-asserted-by":"crossref","unstructured":"Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2017. ImageNet classification with deep convolutional neural networks. Communications of the ACM. 60 (2017). Issue 6.","key":"key-10.1145\/3368926.3369704-4","DOI":"10.1145\/3065386"},{"unstructured":"Mengyuan Ma, Jie Chen, Wei Liu, and Wei Yang. 2018. Ship Classification and Detection Based on CNN Using GF-3 SAR Images. Remote Sensing 10 (2018), 20--43.","key":"key-10.1145\/3368926.3369704-5"},{"unstructured":"Aude Oliva and Antonio Torralba. 2001. Modeling the Shape of the Scene: A Holistic Representationof the Spatial Envelope. International Journal of Computer Vision 42 (2001), 145--175. Issue 3.","key":"key-10.1145\/3368926.3369704-6"},{"unstructured":"Muhammad Imran Razzak, Saeeda Naz, and Ahmad Zaib. 2018. Deep learning for medical image processing: Overview, challenges and the future. In Classification in BioApps. Springer, 323--350.","key":"key-10.1145\/3368926.3369704-7"},{"unstructured":"Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. In Advances in neural information processing systems. 91--99.","key":"key-10.1145\/3368926.3369704-8"},{"doi-asserted-by":"crossref","unstructured":"Holger R Roth, Christopher T Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jian-hua Yao, Le Lu, and Ronald M Summers. 2015. Anatomy-specific classiication of medical images using deep convolutional nets. arXiv preprint arXiv:1504.04003 (2015).","key":"key-10.1145\/3368926.3369704-9","DOI":"10.1109\/ISBI.2015.7163826"},{"unstructured":"S. Shichijo, S. Nomura, and K. Aoyama. 2017. Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images. EBioMedicine 25 (2017), 106âĂrŞ111.","key":"key-10.1145\/3368926.3369704-10"},{"unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014).","key":"key-10.1145\/3368926.3369704-11"},{"doi-asserted-by":"crossref","unstructured":"Christian Szegedy, Wei Liu, Yangqing Jia, and Pierre Sermanet. 2015. Going deeper with convolutions. In Proceedings of the IEEE conference on computer vision and pattern recognition. 1--9.","key":"key-10.1145\/3368926.3369704-12","DOI":"10.1109\/CVPR.2015.7298594"},{"unstructured":"Hirotoshi Takiyama, Tsuyoshi Ozawa, Soichiro Ishihara, Mitsuhiro Fujishiro, Satoki Shichijo, Shuhei Nomura, Motoi Miura, and Tomohiro Tada. 2018. Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks. Scientific Reports 8 (2018), 74--97.","key":"key-10.1145\/3368926.3369704-13"},{"unstructured":"F. Van der Sommen, S. Zinger, and W. Curvers. 2016. Computer-aided detection of early neoplastic lesions in Barrett's esophagus. Endoscopy 48 (2016), 617âĂrŞ624. Issue 7.","key":"key-10.1145\/3368926.3369704-14"},{"doi-asserted-by":"crossref","unstructured":"M. Yamada, Y. Saito, H. Imaoka, M. Saiko, S. Yamada, H. Kondo, H. Takamaru, and T. Sakamoto. 2019. Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy. Scientific Reports (2019).","key":"key-10.1145\/3368926.3369704-15","DOI":"10.1038\/s41598-019-50567-5"},{"unstructured":"Rikiya Yamashita, Mizuho Nishio, Richard Kinh Gian Do, and Kaori Togashi. 2018. Convolutional neural networks: an overview and application in radiology. Insights into Imaging 9, 4 (Aug 2018), 611--629.","key":"key-10.1145\/3368926.3369704-16"},{"unstructured":"Ruikai Zhang, Yali Zheng, Tony Wing Chung Mak, Ruoxi Yu, Sunny H Wong, James YW Lau, and Carmen CY Poon. 2016. Automatic detection and classification of colorectal polyps by transferring low-level CNN features from non-medical domain. IEEE journal of biomedical and health informatics 21, 1 (2016), 41--47.","key":"key-10.1145\/3368926.3369704-17"},{"unstructured":"Teng Zhou, Guoqiang Han, Bing Nan Li, Zhizhe Lin, Edward J Ciaccio, Peter H Green, and Jing Qin. 2017. Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method. Computers in biology and medicine 85 (2017), 1--6.","key":"key-10.1145\/3368926.3369704-18"}],"event":{"number":"10","sponsor":["SOICT, School of Information and Communication Technology - HUST","NAFOSTED, The National Foundation for Science and Technology Development"],"acronym":"SoICT 2019","name":"the Tenth International Symposium","start":{"date-parts":[[2019,12,4]]},"location":"Hanoi, Ha Long Bay, Viet Nam","end":{"date-parts":[[2019,12,6]]}},"container-title":["Proceedings of the Tenth International Symposium on Information and Communication Technology  - SoICT 2019"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3368926.3369704","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3369704&ftid=2101292&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:44:51Z","timestamp":1750203891000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3368926.3369704"}},"subtitle":[],"proceedings-subject":"Information and Communication Technology","short-title":[],"issued":{"date-parts":[[2019]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1145\/3368926.3369704","relation":{},"subject":[],"published":{"date-parts":[[2019]]}}}