{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T07:10:02Z","timestamp":1755846602260,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,13]],"date-time":"2022-10-13T00:00:00Z","timestamp":1665619200000},"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":[[2022,10,13]]},"DOI":"10.1145\/3570773.3570817","type":"proceedings-article","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T15:57:42Z","timestamp":1670601462000},"page":"491-496","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Improved Deeplabv3+ based ultrasound image segmentation algorithm for thyroid nodules"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2283-9603","authenticated-orcid":false,"given":"Mengze","family":"Gao","sequence":"first","affiliation":[{"name":"School of Electrical and Electronic Engineering, Wuhan Textile University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1936-0332","authenticated-orcid":false,"given":"Li","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Wuhan Textile University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5437-5479","authenticated-orcid":false,"given":"He","family":"Min","sequence":"additional","affiliation":[{"name":"School of Electrical and Automation, Wuhan University, China"}]}],"member":"320","published-online":{"date-parts":[[2022,12,9]]},"reference":[{"issue":"10","key":"e_1_3_2_1_1_1","first-page":"62","article-title":"on the changes of thyroid function and its clinical significance in breast cancer patients after radiation therapy[J].","volume":"27","author":"Kelin Cui","year":"2019","unstructured":"Cui Kelin, Zhang Hong.Study on the changes of thyroid function and its clinical significance in breast cancer patients after radiation therapy[J].China Medical Engineering, 2019, 27(10): 62-64.","journal-title":"China Medical Engineering"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","unstructured":"Qi Yongxin. Diagnostic significance of ultrasound in thyroid nodular disease and analysis of ultrasound characteristics [J]. Health Big Vision 2019(13):209. DOI:10.3969\/j.issn.1005-0019.2019.13.349.","DOI":"10.3969\/j.issn.1005-0019.2019.13.349"},{"key":"e_1_3_2_1_3_1","first-page":"944","article-title":"Automatic segmentation of thyroid ultrasonograms by adaptive filtering combined with improved T-snake model [J]","volume":"2020","author":"Chun-Yu ZHOU","unstructured":"ZHOU Chun-Yu, CHENG Xian-Yi. Automatic segmentation of thyroid ultrasonograms by adaptive filtering combined with improved T-snake model [J]. Computer Application Research,2020,37(3):944-946.","journal-title":"Computer Application Research"},{"issue":"6","key":"e_1_3_2_1_4_1","first-page":"4","article-title":"Ultrasound image segmentation of thyroid nodules based on Chan-Vese model [J]","volume":"2018","author":"Zheng B.","unstructured":"B. Zheng, F. Xu, J. C. Guo, . Ultrasound image segmentation of thyroid nodules based on Chan-Vese model [J]. Computer & Telecom,2018(6):4-7.","journal-title":"Computer & Telecom"},{"key":"e_1_3_2_1_5_1","first-page":"2195","article-title":"Ultrasonic thyroid segmentation combining segmented frequency domain and local attention [J]","volume":"2020","author":"Yisan HU","unstructured":"HU Yisan, QIN Pinle, ZENG Jianchao, . Ultrasonic thyroid segmentation combining segmented frequency domain and local attention [J]. Chinese Journal of Graphical Graphics,2020,25(10):2195-2205.","journal-title":"Chinese Journal of Graphical Graphics"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.19529\/j.cnki.1672-6278.2019.02.09"},{"key":"e_1_3_2_1_7_1","volume-title":"The 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics","author":"Jianrui DING","year":"2019","unstructured":"DING Jianrui, HUANG Zichen, SHI Mengdie, Automatic thyroid ultrasound image segmentation based on u-shaped network[C]. The 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, Suzhou, China, 2019: 1\u20135."},{"key":"e_1_3_2_1_8_1","volume-title":"2019 IEEE International Conference on Bioinformatics and Biomedicine","author":"Jianrong WANG","year":"2019","unstructured":"WANG Jianrong, ZHANG Ruixuan, WEI Xi, An attention-based semi-supervised neural network for thyroid nodules segmentation[C]. 2019 IEEE International Conference on Bioinformatics and Biomedicine, San Diego,USA, 2019: 871\u2013876."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3022249"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103871"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Chen L C Zhu Y Papandreou G Encoder-decoder with atrous separable convolution for semantic image segmentation[C]\/\/Proceedings of the European conference on computer vision (ECCV). 2018: 801-818.","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Ronneberger O Fischer P Brox T. U-Net: Convolutional Networks for Biomedical Image Seg mentation[J]. CoRR. 2015","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Hu J Shen L Sun G. Squeeze-and-excitation networks[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 7132-7141.","DOI":"10.1109\/CVPR.2018.00745"},{"key":"e_1_3_2_1_14_1","volume-title":"Lee J Y","author":"Woo","year":"2018","unstructured":"Woo S, Park J, Lee J Y, Cbam: Convolutional block attention module[C]\/\/Proceedings of the European conference on computer vision (ECCV). 2018: 3-19."},{"key":"e_1_3_2_1_15_1","volume-title":"IEEE","author":"Wang Q","year":"2020","unstructured":"Wang Q , Wu B , Zhu P , ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks[C]\/\/ 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020."},{"key":"e_1_3_2_1_16_1","volume-title":"Cipolla R. Segnet: A deep convolutional encoder-decoder architecture for image segmentation[J]","author":"Badrinarayanan","year":"2017","unstructured":"Badrinarayanan V, Kendall A, Cipolla R. Segnet: A deep convolutional encoder-decoder architecture for image segmentation[J]. IEEE transactions on pattern analysis and machine intelligence, 2017, 39(12): 2481-2495."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"He K Zhang X Ren S Deep residual learning for image recognition[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 770-778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Sandler M Howard A Zhu M Mobilenetv2: Inverted residuals and linear bottlenecks[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 4510-4520.","DOI":"10.1109\/CVPR.2018.00474"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Chollet F. Xception: Deep learning with depthwise separable convolutions[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 1251-1258.","DOI":"10.1109\/CVPR.2017.195"}],"event":{"name":"ISAIMS 2022: 2022 3rd International Symposium on Artificial Intelligence for Medicine Sciences","acronym":"ISAIMS 2022","location":"Amsterdam Netherlands"},"container-title":["Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3570773.3570817","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3570773.3570817","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T06:48:50Z","timestamp":1755845330000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3570773.3570817"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,13]]},"references-count":19,"alternative-id":["10.1145\/3570773.3570817","10.1145\/3570773"],"URL":"https:\/\/doi.org\/10.1145\/3570773.3570817","relation":{},"subject":[],"published":{"date-parts":[[2022,10,13]]},"assertion":[{"value":"2022-12-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}