{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:31Z","timestamp":1750220251384,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,12,22]],"date-time":"2021-12-22T00:00:00Z","timestamp":1640131200000},"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":[[2021,12,22]]},"DOI":"10.1145\/3508546.3508563","type":"proceedings-article","created":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T11:53:44Z","timestamp":1645790024000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Contour Detection Model Based on Primary Visual Path Response Mechanism"],"prefix":"10.1145","author":[{"given":"Xiu","family":"Liu","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Zhejiang Sci-Tech University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junbao","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Zhejiang Sci-Tech University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lixian","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Zhejiang Sci-Tech University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,2,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-015-0494-y"},{"key":"#cr-split#-e_1_3_2_1_2_1.1","doi-asserted-by":"crossref","unstructured":"George Azzopardi and Nicolai Petkov \"A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model\" 2012 DOI: 10.1007\/s00422-012-0486-6 10.1007\/s00422-012-0486-6","DOI":"10.1007\/s00422-012-0486-6"},{"key":"#cr-split#-e_1_3_2_1_2_1.2","doi-asserted-by":"crossref","unstructured":"George Azzopardi and Nicolai Petkov \"A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model\" 2012 DOI: 10.1007\/s00422-012-0486-6","DOI":"10.1007\/s00422-012-0486-6"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0098424"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.25.4.043018"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2017.0679"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.814250"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2017.0251"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2014.03.023"},{"key":"e_1_3_2_1_9_1","volume-title":"Natural image and receptive field statistics predict saccade sizes[J]. Nature neuroscience","author":"Samonds J M","year":"2018","unstructured":"Samonds J M , Geisler W S , Priebe N J . Natural image and receptive field statistics predict saccade sizes[J]. Nature neuroscience , 2018 , 21(11): 1591-1599. Samonds J M, Geisler W S, Priebe N J. Natural image and receptive field statistics predict saccade sizes[J]. Nature neuroscience, 2018, 21(11): 1591-1599."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/27666"},{"key":"e_1_3_2_1_11_1","volume-title":"Weakly supervised mitosis detection in breast histopathology images using concentric loss[J]. Medical image analysis","author":"Li C","year":"2019","unstructured":"Li C , Wang X , Liu W , Weakly supervised mitosis detection in breast histopathology images using concentric loss[J]. Medical image analysis , 2019 , 53: 165-178. Li C, Wang X, Liu W, Weakly supervised mitosis detection in breast histopathology images using concentric loss[J]. Medical image analysis, 2019, 53: 165-178."},{"key":"e_1_3_2_1_12_1","volume-title":"Non-rigid contour-based registration of cell nuclei in 2-D live cell microscopy images using a dynamic elasticity model[J]","author":"Sorokin D V","year":"2017","unstructured":"Sorokin D V , Peterlik I , Tektonidis M , Non-rigid contour-based registration of cell nuclei in 2-D live cell microscopy images using a dynamic elasticity model[J] . IEEE transactions on medical imaging, 2017 , 37(1): 173-184. Sorokin D V, Peterlik I, Tektonidis M, Non-rigid contour-based registration of cell nuclei in 2-D live cell microscopy images using a dynamic elasticity model[J]. IEEE transactions on medical imaging, 2017, 37(1): 173-184."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Somandepalli K Toutios A Narayanan S S. Semantic Edge Detection for Tracking Vocal Tract Air-Tissue Boundaries in Real-Time Magnetic Resonance Images[C]\/\/Interspeech. 2017: 631-635.  Somandepalli K Toutios A Narayanan S S. Semantic Edge Detection for Tracking Vocal Tract Air-Tissue Boundaries in Real-Time Magnetic Resonance Images[C]\/\/Interspeech. 2017: 631-635.","DOI":"10.21437\/Interspeech.2017-1580"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2017.04.002"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/ima.22476"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.3390\/sym11030431"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.03.009"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2361210"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.173"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Liu Y Cheng M M Hu X Richer convolutional features for edge detection[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 3000-3009.  Liu Y Cheng M M Hu X Richer convolutional features for edge detection[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 3000-3009.","DOI":"10.1109\/CVPR.2017.622"},{"key":"e_1_3_2_1_21_1","volume-title":"Semantic edge detection with diverse deep supervision[J]. arXiv preprint arXiv:1804.02864","author":"Liu Y","year":"2018","unstructured":"Liu Y , Cheng M M , Fan D P , Semantic edge detection with diverse deep supervision[J]. arXiv preprint arXiv:1804.02864 , 2018 . Liu Y, Cheng M M, Fan D P, Semantic edge detection with diverse deep supervision[J]. arXiv preprint arXiv:1804.02864, 2018."}],"event":{"name":"ACAI'21: 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence","acronym":"ACAI'21","location":"Sanya China"},"container-title":["2021 4th International Conference on Algorithms, Computing and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3508546.3508563","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3508546.3508563","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:41Z","timestamp":1750188641000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3508546.3508563"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,22]]},"references-count":22,"alternative-id":["10.1145\/3508546.3508563","10.1145\/3508546"],"URL":"https:\/\/doi.org\/10.1145\/3508546.3508563","relation":{},"subject":[],"published":{"date-parts":[[2021,12,22]]},"assertion":[{"value":"2022-02-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}