{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T11:06:31Z","timestamp":1779015991789,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T00:00:00Z","timestamp":1764201600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Science and Technology Development Fund of Macau","award":["0026\/2022\/A"],"award-info":[{"award-number":["0026\/2022\/A"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,27]]},"DOI":"10.1145\/3794209.3794218","type":"proceedings-article","created":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T04:18:59Z","timestamp":1778559539000},"page":"26-33","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Lightweight Deep Learning for Real-Time Multi-Task Analysis of Upper Endoscopic Videos"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7015-4510","authenticated-orcid":false,"given":"In Neng","family":"Chan","sequence":"first","affiliation":[{"name":"Department of Electromechanical Engineering, University of Macau, Macao, Macao"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7623-6904","authenticated-orcid":false,"given":"Pak Kin","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Electromechanical Engineering, University of Macau, Macao, Macao"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7779-1045","authenticated-orcid":false,"given":"Yeying","family":"Qin","sequence":"additional","affiliation":[{"name":"Department of Electromechanical Engineering, University of Macau, Macao, Macao"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0999-5028","authenticated-orcid":false,"given":"Chon In","family":"Chan","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, Kiang Wu Hospital, Macao, Macao"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9580-345X","authenticated-orcid":false,"given":"Hon Ho","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, Kiang Wu Hospital, Macao, Macao"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5181-3886","authenticated-orcid":false,"given":"Cheok I","family":"Chan","sequence":"additional","affiliation":[{"name":"Division of Medicine, University College London, London, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3623-8729","authenticated-orcid":false,"given":"Pui Pun","family":"Chan","sequence":"additional","affiliation":[{"name":"Department of General Surgery, Centro Hospitalar Conde de So Januario, Macao, Macao"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,5,11]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"In\u00a0Neng Chan Pak\u00a0Kin Wong Tao Yan Yanyan Hu Chon\u00a0In Chan Peixuan Ge Zheng Li Ying Hu Shan Gao and Hon\u00a0Ho Yu. 2025. FastUGI-Net: Enhanced Real-Time Endoscopic Diagnosis with Efficient Multi-task Learning. Expert Systems with Applications 280 (2025) 127444.","DOI":"10.1016\/j.eswa.2025.127444"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"Qi Chang Danish Ahmad Jennifer Toth Rebecca Bascom and William\u00a0E Higgins. 2024. ESFPNet: Efficient Stage-Wise Feature Pyramid on Mix Transformer for Deep Learning-Based Cancer Analysis in Endoscopic Video. Journal of Imaging 10 8 (2024) 191.","DOI":"10.3390\/jimaging10080191"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Bum-Joo Cho Chang\u00a0Seok Bang Se\u00a0Woo Park Young\u00a0Joo Yang Seung\u00a0In Seo Hyun Lim Woon\u00a0Geon Shin Ji\u00a0Taek Hong Yong\u00a0Tak Yoo Seok\u00a0Hwan Hong et\u00a0al. 2019. Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network. Endoscopy 51 12 (2019) 1121\u20131129.","DOI":"10.1055\/a-0981-6133"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/1-84628-011-7_12"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Andrew\u00a0F Goddard Rawya Badreldin D\u00a0Mark Pritchard Marjorie\u00a0M Walker and Bryan Warren. 2010. The management of gastric polyps. Gut 59 9 (2010) 1270\u20131276.","DOI":"10.1136\/gut.2009.182089"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural Computation 9 8 (1997) 1735\u20131780.","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_3_1_9_2","volume-title":"The International Conference on Advanced Computing and Applications (ACOMP)","author":"Thi-Ha\u00a0Nguyen Viet-Vu Vu Thi-Mai Hoang Hai-Minh Nguyen T. Thuy-Duong\u00a0Nguyen Hong-Quan\u00a0Do,","year":"2021","unstructured":"Viet-Vu Vu Thi-Mai Hoang Hai-Minh Nguyen T. Thuy-Duong\u00a0Nguyen Hong-Quan\u00a0Do, Thi-Ha\u00a0Nguyen. 2021. Evaluation of U-Net and Its Variants in Solving Upper Gastrointestinal Endoscopy Segmentation. In The International Conference on Advanced Computing and Applications (ACOMP)."},{"key":"e_1_3_3_1_10_2","first-page":"248","volume-title":"Proceedings of 2009 Conference on Computer Vision and Pattern Recognition","author":"Jia Deng","year":"2009","unstructured":"Deng Jia, Dong Wei, Richard Socher, Li-Jia Li, Kai Li, and Fei-Fei Li. 2009. ImageNet: A large-scale hierarchical image database. In Proceedings of 2009 Conference on Computer Vision and Pattern Recognition. IEEE, 248\u2013255."},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01549"},{"key":"e_1_3_3_1_12_2","volume-title":"5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings","author":"Loshchilov Ilya","year":"2017","unstructured":"Ilya Loshchilov and Frank Hutter. 2017. SGDR: Stochastic Gradient Descent with Warm Restarts. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=Skq89Scxx"},{"key":"e_1_3_3_1_13_2","volume-title":"7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019","author":"Loshchilov Ilya","year":"2019","unstructured":"Ilya Loshchilov and Frank Hutter. 2019. Decoupled Weight Decay Regularization. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019. OpenReview.net. https:\/\/openreview.net\/forum?id=Bkg6RiCqY7"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"Michael\u00a0X Ma and Michael\u00a0J Bourke. 2017. Sessile Serrated Adenomas: How to Detect Characterize and Resect. Gut and Liver 11 6 (2017) 747.","DOI":"10.5009\/gnl16523"},{"key":"e_1_3_3_1_15_2","unstructured":"TorchVision maintainers and contributors. 2016. TorchVision: PyTorch\u2019s Computer Vision library. https:\/\/github.com\/pytorch\/vision."},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICADEIS52521.2021.9702073"},{"key":"e_1_3_3_1_17_2","unstructured":"Viet\u00a0Anh Nguyen. [n. d.]. AnyLabeling - Effortless data labeling with AI support. https:\/\/github.com\/vietanhdev\/anylabeling"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Zihan Nie Muhao Xu Zhiyong Wang Xiaoqi Lu and Weiye Song. 2024. A Review of Application of Deep Learning in Endoscopic Image Processing. Journal of Imaging 10 11 (2024) 275.","DOI":"10.3390\/jimaging10110275"},{"key":"e_1_3_3_1_19_2","first-page":"8026\u2013\u20138037","volume-title":"Proceedings of the 33rd International Conference on Neural Information Processing Systems","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et\u00a0al. 2019. Pytorch: An imperative style, high-performance deep learning library. In Proceedings of the 33rd International Conference on Neural Information Processing Systems. 8026\u2013\u20138037."},{"key":"e_1_3_3_1_20_2","unstructured":"F. Pedregosa G. Varoquaux A. Gramfort V. Michel B. Thirion O. Grisel M. Blondel P. Prettenhofer R. Weiss V. Dubourg J. Vanderplas A. Passos D. Cournapeau M. Brucher M. Perrot and E. Duchesnay. 2011. Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research 12 (2011) 2825\u20132830."},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"Konstantin Pogorelov Michael Riegler Sigrun\u00a0Losada Eskeland Thomas de Lange Dag Johansen Carsten Griwodz Peter\u00a0Thelin Schmidt and P\u00e5l Halvorsen. 2017. Efficient disease detection in gastrointestinal videos\u2013global features versus neural networks. Multimedia Tools and Applications 76 21 (2017) 22493\u201322525.","DOI":"10.1007\/s11042-017-4989-y"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73661-2_5"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_3_1_24_2","series-title":"(NIPS\u201915)","first-page":"802","volume-title":"Proceedings of the 29th International Conference on Neural Information Processing Systems - Volume 1","author":"Shi Xingjian","year":"2015","unstructured":"Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, and Wang-chun Woo. 2015. Convolutional LSTM Network: a machine learning approach for precipitation nowcasting. In Proceedings of the 29th International Conference on Neural Information Processing Systems - Volume 1 (Montreal, Canada) (NIPS\u201915). MIT Press, Cambridge, MA, USA, 802\u2013810."},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-323-40232-3.00015-7"},{"key":"e_1_3_3_1_26_2","first-page":"6105","volume-title":"International Conference on Machine Learning","author":"Tan Mingxing","year":"2019","unstructured":"Mingxing Tan and Quoc Le. 2019. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. In International Conference on Machine Learning. PMLR, 6105\u20136114."},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Suigu Tang Xiaoyuan Yu Chak\u00a0Fong Cheang Yanyan Liang Penghui Zhao Hon\u00a0Ho Yu and I\u00a0Cheong Choi. 2023. Transformer-based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images. Computers in Biology and Medicine 157 (2023) 106723.","DOI":"10.1016\/j.compbiomed.2023.106723"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Thanh-Hai Tran Danh\u00a0Huy Vu Duc\u00a0Huy Tran Khanh\u00a0Linh Do Phuong\u00a0Thao Nguyen Van\u00a0Tuan Nguyen Long\u00a0Thuy Nguyen Nguyen\u00a0Khang Ho Hai Vu and Viet\u00a0Hang Dao. 2023. DCS-UNet: Dual-Path Framework for Segmentation of Reflux Esophagitis Lesions from Endoscopic Images with U-Net-Based Segmentation and Color\/Texture Analysis. Vietnam Journal of Computer Science 10 02 (2023) 217\u2013242.","DOI":"10.1142\/S2196888822500385"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"publisher","unstructured":"Ross Wightman. 2019. PyTorch Image Models. https:\/\/github.com\/rwightman\/pytorch-image-models. 10.5281\/zenodo.4414861","DOI":"10.5281\/zenodo.4414861"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"crossref","unstructured":"Ming Xu Wei Zhou Lianlian Wu Jun Zhang Jing Wang Ganggang Mu Xu Huang Yanxia Li Jingping Yuan Zhi Zeng et\u00a0al. 2021. Artificial intelligence in the diagnosis of gastric precancerous conditions by image-enhanced endoscopy: a multicenter diagnostic study (with video). Gastrointestinal Endoscopy 94 3 (2021) 540\u2013548.","DOI":"10.1016\/j.gie.2021.03.013"}],"event":{"name":"ICBBE 2025: 2025 12th International Conference on Biomedical and Bioinformatics Engineering","location":"Tokyo Japan","acronym":"ICBBE 2025"},"container-title":["Proceedings of the 2025 12th International Conference on Biomedical and Bioinformatics Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3794209.3794218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T10:18:13Z","timestamp":1779013093000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3794209.3794218"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,27]]},"references-count":29,"alternative-id":["10.1145\/3794209.3794218","10.1145\/3794209"],"URL":"https:\/\/doi.org\/10.1145\/3794209.3794218","relation":{},"subject":[],"published":{"date-parts":[[2025,11,27]]},"assertion":[{"value":"2026-05-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}