{"id":"https://openalex.org/W2517432425","doi":"https://doi.org/10.1016/j.procs.2016.07.391","title":"A Fast Segmentation Algorithm of PET Images Based on Visual Saliency Model","display_name":"A Fast Segmentation Algorithm of PET Images Based on Visual Saliency Model","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2517432425","doi":"https://doi.org/10.1016/j.procs.2016.07.391","mag":"2517432425"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2016.07.391","doi":"https://doi.org/10.1016/j.procs.2016.07.391","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2016.07.391","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050916316477/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.sciencedirect.com/science/article/pii/S1877050916316477/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100771922","display_name":"Lu Liu","orcid":"https://orcid.org/0000-0003-1352-421X","observed_orcids":["https://orcid.org/0000-0003-1352-421X"]},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liu Lu","raw_affiliation_strings":["School of Computer and Technology, Harbin University of Science & Technology (HRBUST), 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Technology, Harbin University of Science & Technology (HRBUST), 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101754952","display_name":"Xiaoting Yu","orcid":"https://orcid.org/0000-0002-6117-1044","observed_orcids":["https://orcid.org/0000-0002-6117-1044"]},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xiaoting","raw_affiliation_strings":["School of Computer and Technology, Harbin University of Science & Technology (HRBUST), 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Technology, Harbin University of Science & Technology (HRBUST), 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041422139","display_name":"Bo Ding","orcid":"https://orcid.org/0000-0002-9154-776X","observed_orcids":["https://orcid.org/0000-0002-9154-776X"]},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Bo","raw_affiliation_strings":["School of Computer and Technology, Harbin University of Science & Technology (HRBUST), 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Technology, Harbin University of Science & Technology (HRBUST), 150080, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100771922"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":null,"apc_paid":null,"fwci":0.3341,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68494023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"92","issue":null,"first_page":"361","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.012799999676644802,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pet-image-segmentation","display_name":"PET image segmentation","score":0.9940000176429749},{"id":"https://openalex.org/keywords/visual-saliency-model","display_name":"visual saliency model","score":0.906000018119812},{"id":"https://openalex.org/keywords/grabcut","display_name":"GrabCut","score":0.8270000219345093},{"id":"https://openalex.org/keywords/gaussian-mixture-model","display_name":"Gaussian mixture model","score":0.9639999866485596},{"id":"https://openalex.org/keywords/foreground-background-segmentation","display_name":"foreground-background segmentation","score":0.7760000228881836},{"id":"https://openalex.org/keywords/fast-segmentation-algorithm","display_name":"fast segmentation algorithm","score":0.4390000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8520781993865967},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7618874311447144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7518049478530884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6312791109085083},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5830695629119873},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5237393379211426},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.49060001969337463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.483352392911911},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4464595913887024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38378745317459106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10467097163200378},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2016.07.391","doi":"https://doi.org/10.1016/j.procs.2016.07.391","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2016.07.391","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050916316477/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2016.07.391","doi":"https://doi.org/10.1016/j.procs.2016.07.391","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2016.07.391","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050916316477/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2517432425.pdf","grobid_xml":"https://content.openalex.org/works/W2517432425.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1536022366","https://openalex.org/W1785730614","https://openalex.org/W2039219750","https://openalex.org/W2090335715","https://openalex.org/W2094524899","https://openalex.org/W2104095591","https://openalex.org/W2124351162","https://openalex.org/W2144764737","https://openalex.org/W2165067634","https://openalex.org/W2169551590","https://openalex.org/W2225435795","https://openalex.org/W2352724630","https://openalex.org/W2352975513","https://openalex.org/W2356858033","https://openalex.org/W2365971547","https://openalex.org/W2389248447","https://openalex.org/W2912279717","https://openalex.org/W4248635988","https://openalex.org/W6689569283"],"related_works":["https://openalex.org/W1510308599","https://openalex.org/W2147591589","https://openalex.org/W2015205751","https://openalex.org/W2766414629","https://openalex.org/W7071507617","https://openalex.org/W4237229284","https://openalex.org/W2143341041","https://openalex.org/W2119533052","https://openalex.org/W4416163619","https://openalex.org/W2532940437"],"abstract_inverted_index":{"Owing":[0],"to":[1,20],"fogged":[2],"image":[3,131],"quality":[4],"and":[5,23,67,76,116,133],"similar":[6],"gray":[7],"scale":[8],"of":[9,35,39,74,129],"PET,":[10],"the":[11,33,63,70,80,95,103,110,113,117,121,127,135],"current":[12],"main":[13],"segmentation":[14,30,132,136],"algorithm":[15,31,105,115],"cannot":[16],"give":[17],"much":[18],"attention":[19],"its":[21],"effects":[22],"efficiency.":[24],"Therefore,":[25],"this":[26],"paper":[27],"presents":[28],"a":[29,56],"on":[32],"basis":[34],"visual":[36,49],"saliency":[37,50],"model":[38,51,73],"PET":[40,53,81,130],"images.":[41],"Firstly,":[42],"manual":[43],"operation":[44],"substituted":[45],"by":[46,86],"optimized":[47,87],"Itti":[48],"distinguishes":[52],"images":[54,65,83],"in":[55,109],"fast":[57],"way.":[58],"Secondly,":[59],"one":[60],"should":[61],"preprocess":[62],"salient":[64,82],"acquired,":[66],"then":[68],"initialize":[69],"Gaussian":[71],"mixture":[72],"foreground":[75],"background":[77],"area.":[78],"Finally,":[79],"are":[84],"segmented":[85],"GrabCut":[88],"algorithm,":[89],"thus":[90],"obtaining":[91],"results.":[92,119,137],"Compared":[93],"with":[94],"other":[96],"two":[97],"algorithms,":[98],"experimental":[99],"results":[100],"show":[101],"that":[102],"proposed":[104],"has":[106],"some":[107],"advantages":[108],"simple":[111],"operation,":[112],"efficient":[114],"accurate":[118],"At":[120],"same":[122],"time,":[123],"it":[124],"effectively":[125],"improves":[126],"efficiency":[128],"ensures":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-09-16T00:00:00"}