{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:21:23Z","timestamp":1750220483332,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,22]],"date-time":"2021-10-22T00:00:00Z","timestamp":1634860800000},"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":[[2021,10,22]]},"DOI":"10.1145\/3501409.3501513","type":"proceedings-article","created":{"date-parts":[[2022,1,2]],"date-time":"2022-01-02T06:18:12Z","timestamp":1641104292000},"page":"567-572","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Study on Ultrasound Nerve Image Segmentation with multi-densely-layer supervision mechanism"],"prefix":"10.1145","author":[{"given":"Shang","family":"Gao","sequence":"first","affiliation":[{"name":"Inner Mongolia Sheng Quan Law Firm"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,12,31]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"219","volume-title":"Urology, 146","author":"Fernandez N.","year":"2020","unstructured":"Fernandez, N., Santander, J., Ceballos, C: Regional Anesthesia. An Alternative to General Anesthesia in the Management of Neonatal Testicular Torsion. In: Urology, 146, pp.219--221. (2020)"},{"key":"e_1_3_2_1_2_1","volume-title":"Delbos","author":"Hafiane A.","year":"2017","unstructured":"Hafiane, A., Vieyres, P., Delbos, A.: Deep learning with spatiotemporal consistency for never segmentation in ultrasound images. arXiv preprint arXiv: 1706.05870. (2017)"},{"key":"e_1_3_2_1_3_1","first-page":"1","volume-title":"Vellore","author":"Vashishtha V.","year":"2017","unstructured":"Vashishtha V., Aju D.: Nerve segmentation in ultrasound images. In: 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), Vellore, India, 2017, pp. 1--5. (2017)"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_1_5_1","volume-title":"Jia","author":"Zhao H.","year":"2017","unstructured":"Zhao, H., Shi, J., Qi, X., Wang, X., Jia, J.: Pyramid Scene Parsing Network. arXiv preprint arXiv: 1612.01105(2017)"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Wang Z. Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT. arXiv preprint arXiv:2103.05546. (2021)","DOI":"10.1109\/EMBC46164.2021.9629904"},{"key":"e_1_3_2_1_7_1","volume-title":"Adam","author":"Chen L.","year":"2017","unstructured":"Chen, L. Papandreou, G. Schroff, F. Adam, H.: Rethinking Atrous Convolution for Semantic Image Segmentation. arXiv preprint arXiv: 1706.0558. (2017)"},{"key":"e_1_3_2_1_8_1","first-page":"234","volume-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, 2015","author":"Ronneberger O.","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional net- works for biomedical image segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, 2015, pp. 234--241. (2015)"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11755-3_15"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICECA.2017.8203654"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CAC.2018.8623052"},{"key":"e_1_3_2_1_12_1","volume-title":"Androutsos","author":"Abraham N.","year":"2019","unstructured":"Abraham, N., Illanko, K., Khan, N., Androutsos, D.: Deep Learning for Semantic Segmentation of Brachial Plexus Nervesin Ultrasound Images Using U-NetandM-Net. In: 2019 3rd International Conference on Imaging, Signal Processing and Communication. (2019)"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Russakovsky J. Deng H. Su J. Krause S. Satheesh S. Ma Z. Huang A. Karpathy A. Khosla M. Bernstein et al. Imagenet large scale visual recognition challenge. arXiv preprint arXiv:1409.0575. (2014)","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_2_1_14_1","first-page":"770","volume-title":"J.: Deep Residual Learning for Image Recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016","author":"He K.","year":"2016","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep Residual Learning for Image Recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 770--778. (2016)"},{"key":"e_1_3_2_1_15_1","first-page":"21","volume-title":"RAR-U-NET: A Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation Under Noisy Labels,\" 2021 IEEE International Conference on Image Processing (ICIP)","author":"Wang Z.","year":"2021","unstructured":"Z. Wang, Z. Zhang and I. Voiculescu, \"RAR-U-NET: A Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation Under Noisy Labels,\" 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 21--25. (2021)"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"e_1_3_2_1_17_1","volume-title":"Kweon","author":"Woo S.","year":"1807","unstructured":"Woo, S., Park, J., Lee, J., Kweon, I.: CBAM: Convolutional Block Attention Module. arXiv preprint arXiv: 1807.06521v2. (2018)"},{"key":"e_1_3_2_1_18_1","volume-title":"N. Tajbakhsh and Liang","author":"Zhou Z.","year":"2018","unstructured":"Zhou, Z., Md Mahfuzur Rahman Siddiquee, N. Tajbakhsh and Liang, J.: UNet++: A Nested U-Net Architecture for Medical Image Segmentation. In: Deep Learning in Medical Image Analysis (DLMIA). (2018)."},{"key":"e_1_3_2_1_19_1","unstructured":"Kaggle ultrasound nerve segmentation. https:\/\/www.kaggle.com\/c\/ultrasound-nerve-segmentation"}],"event":{"name":"EITCE 2021: 2021 5th International Conference on Electronic Information Technology and Computer Engineering","acronym":"EITCE 2021","location":"Xiamen China"},"container-title":["Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3501409.3501513","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3501409.3501513","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:01Z","timestamp":1750193341000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3501409.3501513"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,22]]},"references-count":19,"alternative-id":["10.1145\/3501409.3501513","10.1145\/3501409"],"URL":"https:\/\/doi.org\/10.1145\/3501409.3501513","relation":{},"subject":[],"published":{"date-parts":[[2021,10,22]]},"assertion":[{"value":"2021-12-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}