{"id":"https://openalex.org/W2001663117","doi":"https://doi.org/10.1109/vecims.2012.6273223","title":"A new automatic segmentation method for lung tumor based on SUV threshold on &lt;sup&gt;18&lt;/sup&gt;F-FDG PET images","display_name":"A new automatic segmentation method for lung tumor based on SUV threshold on &lt;sup&gt;18&lt;/sup&gt;F-FDG PET images","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2001663117","doi":"https://doi.org/10.1109/vecims.2012.6273223","mag":"2001663117"},"language":"en","primary_location":{"id":"doi:10.1109/vecims.2012.6273223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vecims.2012.6273223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS) Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101966567","display_name":"Xin Ming","orcid":"https://orcid.org/0000-0003-0748-6560"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Ming","raw_affiliation_strings":["Department of Biomedical Engineering, Tianjin Key Laboratory of BME Measurement Technology, Tianjin University, TJU, Tianjin, China","Dept. of Biomedical Engineering, Tianjin University, Tianjin Key Lab of BME, Measurement Technology, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tianjin Key Laboratory of BME Measurement Technology, Tianjin University, TJU, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Dept. of Biomedical Engineering, Tianjin University, Tianjin Key Lab of BME, Measurement Technology, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744687","display_name":"Yuanming Feng","orcid":"https://orcid.org/0000-0001-9107-7553"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanming Feng","raw_affiliation_strings":["Department of Biomedical Engineering, Tianjin Key Laboratory of BME Measurement Technology, Tianjin University, TJU, Tianjin, China","Dept. of Biomedical Engineering, Tianjin University, Tianjin Key Lab of BME, Measurement Technology, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tianjin Key Laboratory of BME Measurement Technology, Tianjin University, TJU, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Dept. of Biomedical Engineering, Tianjin University, Tianjin Key Lab of BME, Measurement Technology, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067992188","display_name":"Yu Guo","orcid":"https://orcid.org/0000-0001-7686-3775"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Guo","raw_affiliation_strings":["Department of Biomedical Engineering, Tianjin Key Laboratory of BME Measurement Technology, Tianjin University, TJU, Tianjin, China","Dept. of Biomedical Engineering, Tianjin University, Tianjin Key Lab of BME, Measurement Technology, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tianjin Key Laboratory of BME Measurement Technology, Tianjin University, TJU, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Dept. of Biomedical Engineering, Tianjin University, Tianjin Key Lab of BME, Measurement Technology, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100509622","display_name":"Chunmei Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunmei Yang","raw_affiliation_strings":["Department of Biomedical Engineering, Tianjin Key Laboratory of BME Measurement Technology, Tianjin University, TJU, Tianjin, China","Dept. of Biomedical Engineering, Tianjin University, Tianjin Key Lab of BME, Measurement Technology, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tianjin Key Laboratory of BME Measurement Technology, Tianjin University, TJU, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Dept. of Biomedical Engineering, Tianjin University, Tianjin Key Lab of BME, Measurement Technology, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101966567"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.0201,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78624079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.8021019697189331},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6804275512695312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5837932229042053},{"id":"https://openalex.org/keywords/standardized-uptake-value","display_name":"Standardized uptake value","score":0.531245231628418},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5280129313468933},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.48730218410491943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4680606722831726},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.4002687335014343},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2781779170036316},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.239535391330719}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8021019697189331},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6804275512695312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5837932229042053},{"id":"https://openalex.org/C199374082","wikidata":"https://www.wikidata.org/wiki/Q907080","display_name":"Standardized uptake value","level":3,"score":0.531245231628418},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5280129313468933},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.48730218410491943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4680606722831726},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.4002687335014343},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2781779170036316},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.239535391330719}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vecims.2012.6273223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vecims.2012.6273223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS) Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2106002835","https://openalex.org/W2112545418","https://openalex.org/W2117853853","https://openalex.org/W2128989367","https://openalex.org/W2138062797","https://openalex.org/W2356507128","https://openalex.org/W2368289862"],"related_works":["https://openalex.org/W2138983844","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2111883783","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2356903262","https://openalex.org/W4237142086","https://openalex.org/W2327601824"],"abstract_inverted_index":{"Heart":[0],"metabolizes":[1],"more":[2,7],"glucose":[3],"and":[4,19,28,41,75,98,123,134,152,160,211],"\"light":[5],"up\"":[6],"brightly":[8],"on":[9,58,87,110,190],"PET":[10,63,191,228],"lung":[11,38],"images":[12,64,133],"than":[13],"other":[14],"healthy":[15,121],"or":[16],"normal":[17],"tissues":[18,122],"organs":[20],"because":[21],"of":[22,26,30,37,120,173,208,219],"its":[23],"constant":[24],"pumping":[25],"blood":[27],"accumulation":[29],"radiotracer":[31],"concentration.":[32],"It":[33],"affects":[34],"the":[35,44,49,114,118,132,149,156,163,171,178,197,206],"results":[36,194],"tumor":[39,80,97,115,179,222],"detection":[40],"segmentation":[42,107,188],"using":[43],"thresholding":[45,139],"methods,":[46],"which":[47],"is":[48,65,184,200],"most":[50],"used":[51,215],"method":[52,108,140,183,199],"currently.":[53],"Standardized":[54],"uptake":[55],"value":[56],"(SUV)":[57],"<sup":[59,224],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[60,225],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">18</sup>":[61,226],"F-FDG":[62,227],"an":[66,137],"important":[67],"indicator":[68],"to":[69,93,112,130,141,176,202],"differentiate":[70],"malignant":[71],"from":[72,117,223],"benign":[73],"tumors,":[74],"has":[76],"been":[77,90],"applied":[78],"in":[79,205],"volume":[81],"segmentation.":[82],"However,":[83],"some":[84],"methods":[85,189],"based":[86,109],"SUV":[88,111,129,157,174],"have":[89],"shown":[91],"unable":[92],"distinguish":[94],"regions":[95],"between":[96],"heart.":[99],"In":[100],"this":[101],"paper,":[102],"we":[103,127,147,169],"present":[104],"a":[105,143,217],"novel":[106],"extract":[113],"alone":[116],"background":[119,207],"image":[124],"noise.":[125],"Firstly":[126],"use":[128,170],"enhance":[131],"then":[135,161],"apply":[136],"iterative":[138],"get":[142],"coarse":[144],"result.":[145],"Secondly":[146],"label":[148],"fragmented":[150],"parts":[151],"fuse":[153],"them":[154],"with":[155,186],"distribution":[158],"image,":[159],"calculate":[162],"SUVmean":[164],"for":[165],"each":[166],"part.":[167],"Finally":[168],"maximum":[172],"mean":[175],"locate":[177],"region.":[180],"The":[181,193],"proposed":[182],"compared":[185],"current":[187],"images.":[192,229],"show":[195],"that":[196],"new":[198],"able":[201],"detect":[203],"tumors":[204],"heart":[209],"effectively,":[210],"can":[212],"potentially":[213],"be":[214],"as":[216],"tool":[218],"automatic":[220],"segmenting":[221]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
