{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:13Z","timestamp":1750220353932,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,20]],"date-time":"2021-08-20T00:00:00Z","timestamp":1629417600000},"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":[[2021,8,20]]},"DOI":"10.1145\/3484424.3484436","type":"proceedings-article","created":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T23:12:33Z","timestamp":1636413153000},"page":"72-78","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["An FPGA-Based Hardware Accelerator for 2D Labeling"],"prefix":"10.1145","author":[{"given":"Xianfu","family":"Xu","sequence":"first","affiliation":[{"name":"School of Computer and Electronic Information, Guangxi University, China"}]},{"given":"Wenjun","family":"Su","sequence":"additional","affiliation":[{"name":"School of Computer and Electronic Information, Guangxi University, China"}]},{"given":"Bin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer and Electronic Information, Guangxi University, China"}]},{"given":"Yini","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Computer and Electronic Information, Guangxi University, China"}]},{"given":"Deyu","family":"Kong","sequence":"additional","affiliation":[{"name":"School of Computer and Electronic Information, Guangxi University, China"}]},{"given":"Hongjie","family":"Zeng","sequence":"additional","affiliation":[{"name":"School of Computer,Electronics and Information, Guangxi University, China"}]},{"given":"Xuejun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer and Electronic Information, Guangxi University, China"}]}],"member":"320","published-online":{"date-parts":[[2021,11,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"An Fully Automated CAD System for Juxta-Vacular Nodules Segmentation in CT Scan Images. 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC). IEEE.","author":"Mekali V.","year":"2019","unstructured":"Mekali, V. , & Girijamma, H. A. 2019. An Fully Automated CAD System for Juxta-Vacular Nodules Segmentation in CT Scan Images. 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC). IEEE."},{"volume-title":"A comprehensive review of computer-aided diagnosis of pulmonary nodules based on computed tomography scans","author":"Cao W.","key":"e_1_3_2_1_2_1","unstructured":"Cao, W. , Wu, R. , Cao, G. , & He, Z. 2020. A comprehensive review of computer-aided diagnosis of pulmonary nodules based on computed tomography scans. IEEE Access, PP(99), 1-1."},{"key":"e_1_3_2_1_3_1","first-page":"1","article-title":"Drinet for medical image segmentation","author":"Chen L.","year":"2018","unstructured":"Chen, L. , Bentley, P. , Mori, K. , Misawa, K. , Fujiwara, M. , & D Rueckert. 2018. Drinet for medical image segmentation. IEEE Transactions on Medical Imaging, 1-1.","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-017-0655-5"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16916-9"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.6.2.152-159"},{"key":"e_1_3_2_1_7_1","article-title":"Interactive medical image segmentation using deep learning with image-specific fine-tuning","author":"Wang G.","year":"2017","unstructured":"Wang, G. , Li, W. , Zuluaga, M. A. , Pratt, R. , Patel, P. A. , & Aertsen, M. , 2017. Interactive medical image segmentation using deep learning with image-specific fine-tuning. IEEE Transactions on Medical Imaging, PP(99).","journal-title":"IEEE Transactions on Medical Imaging, PP(99)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2015.2487346"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/NCC48643.2020.9055999"},{"volume-title":"A Survey on Various Median Filtering Techniques For Removal of Impulse Noise From Digital Image. 2018 Conference on Emerging Devices and Smart Systems (ICEDSS)","author":"George G.","key":"e_1_3_2_1_10_1","unstructured":"George, G. , Oommen, R. M. , Shelly, S. , Philipose, S. S. , & Varghese, A. M. 2018. A Survey on Various Median Filtering Techniques For Removal of Impulse Noise From Digital Image. 2018 Conference on Emerging Devices and Smart Systems (ICEDSS). IEEE."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Wang X. Gong S. & Liu J. 2019. Application of improved sobel operator in static gesture segmentation. Electric Engineering.","DOI":"10.1049\/joe.2019.1075"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2020.103053"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3038891"},{"key":"e_1_3_2_1_14_1","volume-title":"Materials Today: Proceedings(8).","author":"Ravivarma G.","year":"2020","unstructured":"Ravivarma, G. , Gavaskar, K. , Malathi, D. , Asha, K. G. , & Aarthi, S. 2020. Implementation of sobel operator based image edge detection on fpga. Materials Today: Proceedings(8)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.3788\/LOP56.101502"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00208-010-0577-4"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.3182\/20080706-5-KR-1001.02291"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Benjamini D. & Basser P. J. 2018. Water mobility spectral imaging of the spinal cord: parametrization of model-free laplace mri. Magnetic Resonance Imaging.","DOI":"10.1016\/j.mri.2018.12.001"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Anshad P. Kumar S. S. & Shahudheen S. 2019. Segmentation of chondroblastoma from medical images using modified region growing algorithm. Cluster Computing.","DOI":"10.1007\/s10586-018-1954-0"}],"event":{"name":"ICBIP '21: 2021 6th International Conference on Biomedical Signal and Image Processing","acronym":"ICBIP '21","location":"Suzhou China"},"container-title":["Proceedings of the 6th International Conference on Biomedical Signal and Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3484424.3484436","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3484424.3484436","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:14Z","timestamp":1750191434000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3484424.3484436"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,20]]},"references-count":19,"alternative-id":["10.1145\/3484424.3484436","10.1145\/3484424"],"URL":"https:\/\/doi.org\/10.1145\/3484424.3484436","relation":{},"subject":[],"published":{"date-parts":[[2021,8,20]]},"assertion":[{"value":"2021-11-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}