{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:48Z","timestamp":1750220088267,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T00:00:00Z","timestamp":1647561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,3,18]]},"DOI":"10.1145\/3532213.3532288","type":"proceedings-article","created":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T13:29:18Z","timestamp":1657718958000},"page":"498-504","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Region Segmentation of Retina OCT Image Layer Based on MS-UNet"],"prefix":"10.1145","author":[{"given":"Jun","family":"Wu","sequence":"first","affiliation":[{"name":"TianGong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuang","family":"Liu","sequence":"additional","affiliation":[{"name":"TianGong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhitao","family":"Xiao","sequence":"additional","affiliation":[{"name":"TianGong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Zhang","sequence":"additional","affiliation":[{"name":"TianGong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Geng","sequence":"additional","affiliation":[{"name":"TianGong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,7,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation. Opt","author":"Chiu Stephanie J","year":"2010","unstructured":"Stephanie J Chiu , Xiao T Li , Peter Nicholas , Cynthia A Toth , Joseph A Izatt , and Sina Farsiu . 2010. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation. Opt . Express . 18, 18( August 2010 ), 19413-19428. https:\/\/doi.org\/10.1364\/OE.18.019413 10.1364\/OE.18.019413 Stephanie J Chiu, Xiao T Li, Peter Nicholas, Cynthia A Toth, Joseph A Izatt, and Sina Farsiu. 2010. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation. Opt. Express. 18, 18(August 2010), 19413-19428. https:\/\/doi.org\/10.1364\/OE.18.019413"},{"key":"e_1_3_2_1_2_1","author":"Lee Joo Yong","year":"2013","unstructured":"Joo Yong Lee , Stephanie J Chiu , Pratul P Srinivasan , Joseph A Izatt , Cynthia A Toth , Sina Farsiu , Glenn J Jaffe. 2013 . Fully Automatic software for retinal thickness in eyes with diabetic macular edema from images acquired by cirrus and spectralis systems. Invest Ophthalmol Vis, 54, 12(November 2013), 7595-7602. https:\/\/doi.org\/10.1167\/iovs.13-11762 10.1167\/iovs.13-11762 Joo Yong Lee, Stephanie J Chiu, Pratul P Srinivasan, Joseph A Izatt, Cynthia A Toth, Sina Farsiu, Glenn J Jaffe. 2013. Fully Automatic software for retinal thickness in eyes with diabetic macular edema from images acquired by cirrus and spectralis systems. Invest Ophthalmol Vis, 54, 12(November 2013), 7595-7602. https:\/\/doi.org\/10.1167\/iovs.13-11762","journal-title":"Glenn J Jaffe."},{"key":"e_1_3_2_1_3_1","volume-title":"Advanced image processing for optical coherence tomographic angiography of macular diseases. Biomedical optics express, 6, 12(December","author":"Zhang Miao","year":"2015","unstructured":"Miao Zhang , Jie Wang , Alex D Pechauer , Thomas S Hwang , Simon S Gao , Liang Liu , Li Liu , Steven T Bailey , David J Wilson , David Huang , Yali Jia . 2015. Advanced image processing for optical coherence tomographic angiography of macular diseases. Biomedical optics express, 6, 12(December 2015 ), 4661-4675. http:\/\/doi.org\/10.1364\/BOE.6.004661 10.1364\/BOE.6.004661 Miao Zhang, Jie Wang, Alex D Pechauer, Thomas S Hwang, Simon S Gao, Liang Liu, Li Liu, Steven T Bailey, David J Wilson, David Huang, Yali Jia. 2015. Advanced image processing for optical coherence tomographic angiography of macular diseases. Biomedical optics express, 6, 12(December 2015), 4661-4675. http:\/\/doi.org\/10.1364\/BOE.6.004661"},{"key":"e_1_3_2_1_4_1","volume-title":"Automated volumetric segmentation of retinal fluid on optical coherence tomography. Biomedical optics express, 7, 4(April","author":"Wang Jie","year":"2016","unstructured":"Jie Wang , Miao Zhang , Alex D. Pechauer , Liang Liu . 2016. Automated volumetric segmentation of retinal fluid on optical coherence tomography. Biomedical optics express, 7, 4(April 2016 ), 1577-1589 https:\/\/doi.org\/10.1364\/BOE.7.001577 10.1364\/BOE.7.001577 Jie Wang, Miao Zhang, Alex D. Pechauer, Liang Liu. 2016. Automated volumetric segmentation of retinal fluid on optical coherence tomography. Biomedical optics express, 7, 4(April 2016), 1577-1589 https:\/\/doi.org\/10.1364\/BOE.7.001577"},{"key":"e_1_3_2_1_5_1","volume-title":"Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema. Biomedical optics express, 6, 4(April","author":"Chiu Stephanie J","year":"2015","unstructured":"Stephanie J Chiu , Michael J Allingham , Priyatham S Mettu , Scott W Cousins , Joseph A Izatt , Sina Farsiu . 2015. Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema. Biomedical optics express, 6, 4(April 2015 ), 1172-1194. http:\/\/doi.org\/10.1364\/BOE.6.001172 10.1364\/BOE.6.001172 Stephanie J Chiu, Michael J Allingham, Priyatham S Mettu, Scott W Cousins, Joseph A Izatt, Sina Farsiu. 2015. Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema. Biomedical optics express, 6, 4(April 2015), 1172-1194. http:\/\/doi.org\/10.1364\/BOE.6.001172"},{"issue":"24","key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","first-page":"367","DOI":"10.3788\/LOP57.241702","article-title":"Segmentation of the retinal layer in OCT images based on CNN and improved graph search","volume":"57","author":"Tang Yanhong","year":"2020","unstructured":"Yanhong Tang , Yunzhao Chen , Mingdi Liu , Yaguang Zeng , Yuexia Zhou . Segmentation of the retinal layer in OCT images based on CNN and improved graph search . Progress in Laser and Optoelectronics , 2020 , 57 ( 24 ): 367 - 374 . http:\/\/doi.org\/10.3788\/lop57.241105 10.3788\/lop57.241105 Yanhong Tang, Yunzhao Chen, Mingdi Liu, Yaguang Zeng, Yuexia Zhou. Segmentation of the retinal layer in OCT images based on CNN and improved graph search. Progress in Laser and Optoelectronics, 2020, 57(24):367-374. http:\/\/doi.org\/10.3788\/lop57.241105","journal-title":"Progress in Laser and Optoelectronics"},{"key":"e_1_3_2_1_7_1","volume-title":"Debdoot Sheet, Amin Katouzian, Christian Wachinger, and Nassir Navab.","author":"Roy Abhijit Guha","year":"2017","unstructured":"Abhijit Guha Roy , Sailesh Conjeti , Sri Phani Krishna Karri , Debdoot Sheet, Amin Katouzian, Christian Wachinger, and Nassir Navab. 2017 . ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks. Biomed. Opt. Express . 8, 8(July 2017), 3627. https:\/\/doi.org\/10.1364\/BOE.8.003627 10.1364\/BOE.8.003627 Abhijit Guha Roy, Sailesh Conjeti, Sri Phani Krishna Karri, Debdoot Sheet, Amin Katouzian, Christian Wachinger, and Nassir Navab. 2017. ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks. Biomed. Opt. Express. 8, 8(July 2017), 3627. https:\/\/doi.org\/10.1364\/BOE.8.003627"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_9_1","volume-title":"DO-Conv: Depthwise Over-parameterized Convolutional Layer. Computer Science. (June","author":"Cao Jinming","year":"2020","unstructured":"Jinming Cao , Yangyan Li , Mingchao Sun , Ying Chen , Dani Lischinski , Daniel Cohen-Or , Baoquan Chen , Changhe Tu. 2020. DO-Conv: Depthwise Over-parameterized Convolutional Layer. Computer Science. (June 2020 ). http:\/\/arxiv.org\/abs\/2006.12030 Jinming Cao, Yangyan Li, Mingchao Sun, Ying Chen, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen, Changhe Tu. 2020. DO-Conv: Depthwise Over-parameterized Convolutional Layer. Computer Science. (June 2020). http:\/\/arxiv.org\/abs\/2006.12030"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"e_1_3_2_1_11_1","volume-title":"Jonathan Long and Trevor Darrell","author":"Shelhamer Evan","year":"2017","unstructured":"Evan Shelhamer , Jonathan Long and Trevor Darrell . 2017 . Fully Convolutional Networks for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence , 39, 4(April 2017), 640-65. http:\/\/doi.org\/10.1109\/TPAMI.2016.2572683 10.1109\/TPAMI.2016.2572683 Evan Shelhamer, Jonathan Long and Trevor Darrell. 2017. Fully Convolutional Networks for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 4(April 2017), 640-65. http:\/\/doi.org\/10.1109\/TPAMI.2016.2572683"},{"key":"e_1_3_2_1_12_1","volume-title":"SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation","author":"Badrinarayanan Vijay","year":"2017","unstructured":"Vijay Badrinarayanan , Alex Kendall , Roberto Cipolla . 2015. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation . IEEE Transactions on Pattern Analysis and Machine Intelligence . 39, 12( December 2017 ), 2481-2495. http:\/\/doi.org\/10.1109\/TPAMI.2016.2644615 10.1109\/TPAMI.2016.2644615 Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla. 2015. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39, 12(December 2017), 2481-2495. http:\/\/doi.org\/10.1109\/TPAMI.2016.2644615"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"e_1_3_2_1_14_1","first-page":"1451","volume-title":"Understanding Convolution for Semantic Segmentation. IEEE Winter Conference on Applications of Computer Vision (WACV). (March 2018","author":"Wang Panqu","year":"2018","unstructured":"Panqu Wang , Pengfei Chen , Ye Yuan , Ding Liu , Zehua Huang , Xiaodi Hou , Garrison Cottrell . 2018 . Understanding Convolution for Semantic Segmentation. IEEE Winter Conference on Applications of Computer Vision (WACV). (March 2018 ), 1451 - 1460 . http:\/\/doi.org\/10.1109\/WACV.2018.00163 10.1109\/WACV.2018.00163 Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison Cottrell. 2018. Understanding Convolution for Semantic Segmentation. IEEE Winter Conference on Applications of Computer Vision (WACV). (March 2018), 1451-1460. http:\/\/doi.org\/10.1109\/WACV.2018.00163"},{"key":"e_1_3_2_1_15_1","volume-title":"ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation. Computer Science. (June","author":"Paszke Adam","year":"2016","unstructured":"Adam Paszke , Abhishek Chaurasia , Sangpil Kim , Eugenio Culurciello . 2016. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation. Computer Science. (June 2016 ). http:\/\/arxiv.org\/abs\/1606.02147 Adam Paszke, Abhishek Chaurasia, Sangpil Kim, Eugenio Culurciello. 2016. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation. Computer Science. (June 2016). http:\/\/arxiv.org\/abs\/1606.02147"}],"event":{"name":"ICCAI '22: 2022 8th International Conference on Computing and Artificial Intelligence","acronym":"ICCAI '22","location":"Tianjin China"},"container-title":["Proceedings of the 8th International Conference on Computing and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3532213.3532288","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3532213.3532288","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:44Z","timestamp":1750183784000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3532213.3532288"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,18]]},"references-count":15,"alternative-id":["10.1145\/3532213.3532288","10.1145\/3532213"],"URL":"https:\/\/doi.org\/10.1145\/3532213.3532288","relation":{},"subject":[],"published":{"date-parts":[[2022,3,18]]},"assertion":[{"value":"2022-07-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}