{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T22:20:05Z","timestamp":1744496405770},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,20]],"date-time":"2022-12-20T00:00:00Z","timestamp":1671494400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,20]],"date-time":"2022-12-20T00:00:00Z","timestamp":1671494400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,20]]},"DOI":"10.1109\/rivf55975.2022.10013878","type":"proceedings-article","created":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T13:54:15Z","timestamp":1674050055000},"page":"629-634","source":"Crossref","is-referenced-by-count":4,"title":["MSMA-Net: A Multi-scale Multidirectional Adaptation Network for Polyp Segmentation"],"prefix":"10.1109","volume":"8","author":[{"given":"Trung-Kien","family":"Le","sequence":"first","affiliation":[{"name":"School of Electrical and Electronic Engineering Hanoi University of Science and Technology,Department of Automation Engineering,Hanoi,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hoang-Minh-Quang","family":"Le","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering Hanoi University of Science and Technology,Department of Automation Engineering,Hanoi,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thi-Thao","family":"Tran","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering Hanoi University of Science and Technology,Department of Automation Engineering,Hanoi,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Van-Truong","family":"Pham","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering Hanoi University of Science and Technology,Department of Automation Engineering,Hanoi,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475375"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ISM46123.2019.00049"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-013-0926-3"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.03.002"},{"key":"ref34","article-title":"Caranet: Context axial reverse attention network for segmentation of small medical objects","author":"lou","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s41095-022-0274-8","article-title":"Pvtv2: Improved baselines with pyramid vision transformer","volume":"8","author":"wang","year":"2022","journal-title":"Computational Visual Media"},{"journal-title":"Lawin Transformer Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attention","year":"0","author":"yan","key":"ref11"},{"key":"ref12","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref13","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2021","journal-title":"ICLRE"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref15","article-title":"Transunet: Transformers make strong encoders for medical image segmentation","author":"chen","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59725-2_26"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE55644.2022.9852066"},{"journal-title":"Squeeze-and-Excitation Networks","year":"2019","author":"hu","key":"ref18"},{"key":"ref19","article-title":"CBAM: Convolutional Block Attention Module","author":"woo","year":"2018","journal-title":"ECC 2018"},{"key":"ref28","first-page":"451","article-title":"Kvasir-seg: A segmented polyp dataset","author":"jha","year":"2020","journal-title":"MMM"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/NICS48868.2019.9023862"},{"key":"ref27","article-title":"Panop-tic Feature Pyramid Networks","author":"kirillov","year":"2019","journal-title":"CVVPR2019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref6","first-page":"3","author":"zhou","year":"2018","journal-title":"UNet++ A Nested U-Net Architecture for Medical Image Segmentation"},{"key":"ref29","first-page":"99","article-title":"Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians","volume":"43","author":"bernal","year":"2015","journal-title":"CMIG"},{"key":"ref5","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Med Image Comput Comput -Assisted Intervention"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2021.102065"},{"key":"ref7","article-title":"Attention U-net: Learning where to look for the pancreas","author":"oktay","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref2","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"In NIPS"},{"key":"ref9","article-title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs","author":"chen","year":"2017","journal-title":"TPAMI"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1298","DOI":"10.1056\/NEJMoa1309086","article-title":"Adenoma detection rate and risk of colorectal cancer and death","volume":"370","author":"corley","year":"2014","journal-title":"N Engl J Med"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16437-8_15"},{"journal-title":"Spatial pyramid pooling in deep convolutional networks for visual recognition","year":"0","author":"he","key":"ref22"},{"journal-title":"COVID-19 chest ct image segmentation-a deep convolutional neural network solution","year":"0","author":"yan","key":"ref21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","article-title":"Receptive Field Block Net for Accurate and Fast Object Detection","author":"songtao","year":"0","journal-title":"the European Conference on Computer Vision (ECCV)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-12053-4_65"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16437-8_11"}],"event":{"name":"2022 RIVF International Conference on Computing and Communication Technologies (RIVF)","start":{"date-parts":[[2022,12,20]]},"location":"Ho Chi Minh City, Vietnam","end":{"date-parts":[[2022,12,22]]}},"container-title":["2022 RIVF International Conference on Computing and Communication Technologies (RIVF)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10013784\/10013785\/10013878.pdf?arnumber=10013878","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T16:54:42Z","timestamp":1676912082000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10013878\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,20]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/rivf55975.2022.10013878","relation":{},"subject":[],"published":{"date-parts":[[2022,12,20]]}}}