{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T05:25:43Z","timestamp":1775107543621,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,12]],"date-time":"2021-11-12T00:00:00Z","timestamp":1636675200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872405"],"award-info":[{"award-number":["61872405"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Foundation of China","award":["61720106004"],"award-info":[{"award-number":["61720106004"]}]},{"name":"Key R&D Project of Sichuan Province","award":["2020YFS0243"],"award-info":[{"award-number":["2020YFS0243"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,12]]},"DOI":"10.1145\/3502871.3502874","type":"proceedings-article","created":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T16:22:36Z","timestamp":1647274956000},"page":"13-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Automatic Early Gastric Cancer Segmentation in Gastroscopic Images Based on ResUnet"],"prefix":"10.1145","author":[{"given":"Wenju","family":"Du","sequence":"first","affiliation":[{"name":"School of Life Science and Technology, University of Electronic Science and Technology of China, China and Center for Informational Biology, University of Electronic Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nini","family":"Rao","sequence":"additional","affiliation":[{"name":"School of Life Science and Technology, University of Electronic Science and Technology of China, China and Center for Informational Biology, University of Electronic Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiahao","family":"Yong","sequence":"additional","affiliation":[{"name":"School of Life Science and Technology, University of Electronic Science and Technology of China, China and Center for Informational Biology, University of Electronic Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingchun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Life Science and Technology, University of Electronic Science and Technology of China, China and Center for Informational Biology, University of Electronic Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dingcan","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Life Science and Technology, University of Electronic Science and Technology of China, China and Center for Informational Biology, University of Electronic Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Gan","sequence":"additional","affiliation":[{"name":"Digestive Endoscopic Center of West China Hospital, Sichuan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linlin","family":"Zhu","sequence":"additional","affiliation":[{"name":"Digestive Endoscopic Center of West China Hospital, Sichuan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,3,14]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Jinghua Zhang, Yudong Yao, and Hong Li.","author":"Ai Shiliang","year":"2021","unstructured":"Shiliang Ai , Chen Li , Xiaoyan Li , Tao Jiang , Marcin Grzegorzek , Changhao Sun , Md Mamunur Rahaman , Jinghua Zhang, Yudong Yao, and Hong Li. 2021 . A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development. Biomed Res. Int. 2021, (2021). DOI:https:\/\/doi.org\/10.1155\/2021\/6671417 10.1155\/2021 Shiliang Ai, Chen Li, Xiaoyan Li, Tao Jiang, Marcin Grzegorzek, Changhao Sun, Md Mamunur Rahaman, Jinghua Zhang, Yudong Yao, and Hong Li. 2021. A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development. Biomed Res. Int. 2021, (2021). DOI:https:\/\/doi.org\/10.1155\/2021\/6671417"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"key":"e_1_3_2_1_3_1","unstructured":"Liang-Chieh Chen George Papandreou Florian Schroff and Hartwig Adam. 2017. Rethinking Atrous Convolution for Semantic Image Segmentation. (2017). Retrieved from http:\/\/arxiv.org\/abs\/1706.05587  Liang-Chieh Chen George Papandreou Florian Schroff and Hartwig Adam. 2017. Rethinking Atrous Convolution for Semantic Image Segmentation. (2017). Retrieved from http:\/\/arxiv.org\/abs\/1706.05587"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10620-014-3384-z"},{"key":"#cr-split#-e_1_3_2_1_5_1.1","doi-asserted-by":"crossref","unstructured":"Jia Deng Wei Dong Richard Socher Li-Jia Li Kai Li and Li Fei-Fei. 2009. ImageNet: A large-scale hierarchical image database. In CVPR 248-255. DOI:https:\/\/doi.org\/10.1109\/cvpr.2009.5206848 10.1109\/cvpr.2009.5206848","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"#cr-split#-e_1_3_2_1_5_1.2","doi-asserted-by":"crossref","unstructured":"Jia Deng Wei Dong Richard Socher Li-Jia Li Kai Li and Li Fei-Fei. 2009. ImageNet: A large-scale hierarchical image database. In CVPR 248-255. DOI:https:\/\/doi.org\/10.1109\/cvpr.2009.5206848","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2944676"},{"key":"e_1_3_2_1_7_1","volume-title":"Diagnostic upper gastrointestinal endoscopy","author":"Gershman M.","unstructured":"M. Gershman , G. and Thomson . 2021. Diagnostic upper gastrointestinal endoscopy . Springer Japan , Tokyo . M. Gershman, G. and Thomson. 2021. Diagnostic upper gastrointestinal endoscopy. Springer Japan, Tokyo."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3035253"},{"key":"e_1_3_2_1_9_1","volume-title":"Mask R-CNN. In Proceedings of the IEEE International Conference on Computer Vision, 2980\u20132988","author":"He Kaiming","year":"2017","unstructured":"Kaiming He , Georgia Gkioxari , Piotr Dollar , and Ross Girshick . 2017 . Mask R-CNN. In Proceedings of the IEEE International Conference on Computer Vision, 2980\u20132988 . DOI:https:\/\/doi.org\/10.1109\/ICCV.2017.322 10.1109\/ICCV.2017.322 Kaiming He, Georgia Gkioxari, Piotr Dollar, and Ross Girshick. 2017. Mask R-CNN. In Proceedings of the IEEE International Conference on Computer Vision, 2980\u20132988. DOI:https:\/\/doi.org\/10.1109\/ICCV.2017.322"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_12_1","unstructured":"Geoffrey E Hinton. Rectified Linear Units Improve Restricted Boltzmann Machines. 3 .  Geoffrey E Hinton. Rectified Linear Units Improve Restricted Boltzmann Machines. 3 ."},{"key":"e_1_3_2_1_13_1","volume-title":"32nd Int. Conf. Mach. Learn. ICML 2015 1","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy . 2015 . Batch normalization: Accelerating deep network training by reducing internal covariate shift . 32nd Int. Conf. Mach. Learn. ICML 2015 1 , (2015), 448\u2013456. Sergey Ioffe and Christian Szegedy. 2015. Batch normalization: Accelerating deep network training by reducing internal covariate shift. 32nd Int. Conf. Mach. Learn. ICML 2015 1, (2015), 448\u2013456."},{"key":"e_1_3_2_1_14_1","first-page":"1","article-title":"Current Evidence and Future Perspective of Accuracy of Artificial Intelligence Application for Early Gastric Cancer Diagnosis With Endoscopy","author":"Kailin Jiang","year":"2021","unstructured":"Jiang Kailin , Jiang Xiaotao , Pan Jinglin , Wen Yi , Huang Yuanchen , Weng Senhui , Lan Shaoyang , Nie Kechao , Zheng Zhihua , Ji Shuling , Liu Peng , Li Peiwu , and Liu Fengbin . 2021 . Current Evidence and Future Perspective of Accuracy of Artificial Intelligence Application for Early Gastric Cancer Diagnosis With Endoscopy : A Systematic and Meta-Analysis. Front. Med. 8 , March (2021), 1 \u2013 11 . DOI:https:\/\/doi.org\/10.3389\/fmed.2021.629080 10.3389\/fmed.2021.629080 Jiang Kailin, Jiang Xiaotao, Pan Jinglin, Wen Yi, Huang Yuanchen, Weng Senhui, Lan Shaoyang, Nie Kechao, Zheng Zhihua, Ji Shuling, Liu Peng, Li Peiwu, and Liu Fengbin. 2021. Current Evidence and Future Perspective of Accuracy of Artificial Intelligence Application for Early Gastric Cancer Diagnosis With Endoscopy: A Systematic and Meta-Analysis. Front. Med. 8, March (2021), 1\u201311. DOI:https:\/\/doi.org\/10.3389\/fmed.2021.629080","journal-title":"A Systematic and Meta-Analysis. Front. Med. 8"},{"key":"e_1_3_2_1_15_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Jimmy Ba . 2014 . Adam : A Method for Stochastic Optimization . (2014), 1\u201315. DOI:https:\/\/doi.org\/10.1016\/j.nano.2011.03.005 10.1016\/j.nano.2011.03.005 Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. (2014), 1\u201315. DOI:https:\/\/doi.org\/10.1016\/j.nano.2011.03.005"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.04.007"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2996631"},{"key":"e_1_3_2_1_18_1","volume-title":"SSD: Single Shot MultiBox Detector. In Computer Vision \u2013 ECCV","author":"Liu Wei","year":"2016","unstructured":"Wei Liu , Dragomir Anguelov , Dumitru Erhan , Christian Szegedy , Scott Reed , Cheng-Yang Fu , and Alexander C Berg . 2016 . SSD: Single Shot MultiBox Detector. In Computer Vision \u2013 ECCV 2016, Springer International Publishing , Cham , 21\u201337. Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg. 2016. SSD: Single Shot MultiBox Detector. In Computer Vision \u2013 ECCV 2016, Springer International Publishing, Cham, 21\u201337."},{"key":"#cr-split#-e_1_3_2_1_19_1.1","doi-asserted-by":"crossref","unstructured":"Xiaoqi Liu Chengliang Wang Jianying Bai and Guobin Liao. 2020. Fine-tuning pre-trained convolutional neural networks for gastric precancerous disease classification on magnification narrow-band imaging images. Neurocomputing 392 (2020) 253-267. DOI:https:\/\/doi.org\/10.1016\/j.neucom.2018.10.100 10.1016\/j.neucom.2018.10.100","DOI":"10.1016\/j.neucom.2018.10.100"},{"key":"#cr-split#-e_1_3_2_1_19_1.2","doi-asserted-by":"crossref","unstructured":"Xiaoqi Liu Chengliang Wang Jianying Bai and Guobin Liao. 2020. Fine-tuning pre-trained convolutional neural networks for gastric precancerous disease classification on magnification narrow-band imaging images. Neurocomputing 392 (2020) 253-267. DOI:https:\/\/doi.org\/10.1016\/j.neucom.2018.10.100","DOI":"10.1016\/j.neucom.2018.10.100"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrgastro.2016.148"},{"key":"e_1_3_2_1_21_1","volume-title":"Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla","author":"Oktay Ozan","year":"2018","unstructured":"Ozan Oktay , Jo Schlemper , Loic Le Folgoc , Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla , Bernhard Kainz , Ben Glocker, and Daniel Rueckert. 2018 . Attention U-Net: Learning where to look for the pancreas. ar (2018). Retrieved from http:\/\/arxiv.org\/abs\/1804.03999 Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, Ben Glocker, and Daniel Rueckert. 2018. Attention U-Net: Learning where to look for the pancreas. ar (2018). Retrieved from http:\/\/arxiv.org\/abs\/1804.03999"},{"key":"e_1_3_2_1_22_1","volume-title":"U-net: Convolutional networks for biomedical image segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","author":"Ronneberger Olaf","year":"2016","unstructured":"Olaf Ronneberger , Philipp Fischer , and Thomas Brox . 2016 . U-net: Convolutional networks for biomedical image segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , Springer International Publishing , Cham , 234\u2013241. DOI:https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28 10.1007\/978-3-319-24574-4_28 Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2016. U-net: Convolutional networks for biomedical image segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, Cham, 234\u2013241. DOI:https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.3390\/app10113842"},{"key":"e_1_3_2_1_24_1","first-page":"423","article-title":"Progress with each passing day: role of endoscopy in early gastric cancer","volume":"4","author":"Take Iri","year":"2015","unstructured":"Iri Take , Qiang Shi , and Yun-shi Zhong. 2015 . Progress with each passing day: role of endoscopy in early gastric cancer . Transl. Gastrointest. Cancer 4 , 6 (2015), 423 \u2013 428 . DOI:https:\/\/doi.org\/10.3978\/j.issn.2224-4778.2015.09.04 10.3978\/j.issn.2224-4778.2015.09.04 Iri Take, Qiang Shi, and Yun-shi Zhong. 2015. Progress with each passing day: role of endoscopy in early gastric cancer. Transl. Gastrointest. Cancer 4, 6 (2015), 423\u2013428. DOI:https:\/\/doi.org\/10.3978\/j.issn.2224-4778.2015.09.04","journal-title":"Transl. Gastrointest. Cancer"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1001\/archfami.9.4.385"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/241320"},{"key":"e_1_3_2_1_27_1","volume-title":"Nima Tajbakhsh, and Jianming Liang.","author":"Zhou Zongwei","year":"2018","unstructured":"Zongwei Zhou , Md Mahfuzur Rahman Siddiquee , Nima Tajbakhsh, and Jianming Liang. 2018 . UNet++: A nested U-Net architecture for medical image segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing , 3\u201311. DOI:https:\/\/doi.org\/10.1007\/978-3-030-00889-5_1 10.1007\/978-3-030-00889-5_1 Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang. 2018. UNet++: A nested U-Net architecture for medical image segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, 3\u201311. DOI:https:\/\/doi.org\/10.1007\/978-3-030-00889-5_1"}],"event":{"name":"ICBBE '21: 2021 8th International Conference on Biomedical and Bioinformatics Engineering","location":"Kyoto Japan","acronym":"ICBBE '21"},"container-title":["2021 8th International Conference on Biomedical and Bioinformatics Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3502871.3502874","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3502871.3502874","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:35Z","timestamp":1750188635000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3502871.3502874"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,12]]},"references-count":29,"alternative-id":["10.1145\/3502871.3502874","10.1145\/3502871"],"URL":"https:\/\/doi.org\/10.1145\/3502871.3502874","relation":{},"subject":[],"published":{"date-parts":[[2021,11,12]]},"assertion":[{"value":"2022-03-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}