{"id":"https://openalex.org/W2032900084","doi":"https://doi.org/10.1109/icip.2011.6116042","title":"Lung tumor delineation in PET-CT images using a downhill region growing and a Gaussian mixture model","display_name":"Lung tumor delineation in PET-CT images using a downhill region growing and a Gaussian mixture model","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2032900084","doi":"https://doi.org/10.1109/icip.2011.6116042","mag":"2032900084"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","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/A5057921293","display_name":"Cherry Ballangan","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Cherry Ballangan","raw_affiliation_strings":["Biomedical & Multimedia Information Technology (BMIT) Research Group, University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Biomedical & Multimedia Information Technology (BMIT) Research Group, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046614213","display_name":"Xiuying Wang","orcid":"https://orcid.org/0000-0001-7160-5929"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuying Wang","raw_affiliation_strings":["Biomedical & Multimedia Information Technology (BMIT) Research Group, University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Biomedical & Multimedia Information Technology (BMIT) Research Group, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082979981","display_name":"Michael Fulham","orcid":"https://orcid.org/0000-0003-0602-6319"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Fulham","raw_affiliation_strings":["Sydney Medical School, University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Sydney Medical School, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033497816","display_name":"Stefan Eberl","orcid":"https://orcid.org/0000-0001-6069-7530"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I2799732068","display_name":"Royal Prince Alfred Hospital","ror":"https://ror.org/05gpvde20","country_code":"AU","type":"healthcare","lineage":["https://openalex.org/I2799732068"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stefan Eberl","raw_affiliation_strings":["Biomedical & Multimedia Information Technology (BMIT) Research Group, University of Sydney, Australia","Department of PET and Nuclear Medicine, Royal Prince Alfred Hospital, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Biomedical & Multimedia Information Technology (BMIT) Research Group, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Department of PET and Nuclear Medicine, Royal Prince Alfred Hospital, Sydney, Australia","institution_ids":["https://openalex.org/I2799732068"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU","HK"],"is_corresponding":false,"raw_author_name":"Dagan Feng","raw_affiliation_strings":["Biomedical & Multimedia Information Technology (BMIT) Research Group, University of Sydney, Australia","Center for Multimedia Signal Processing (CMSP), Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Biomedical & Multimedia Information Technology (BMIT) Research Group, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Center for Multimedia Signal Processing (CMSP), Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057921293"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":0.5083,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68873292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"6514","issue":null,"first_page":"2173","last_page":"2176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9901999831199646,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9901999831199646,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9872000217437744,"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/T10862","display_name":"AI in cancer detection","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/lung-cancer","display_name":"Lung cancer","score":0.7093226313591003},{"id":"https://openalex.org/keywords/mediastinum","display_name":"Mediastinum","score":0.4799628257751465},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.4725249409675598},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4580880403518677},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.43775027990341187},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4375115633010864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.429731547832489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4252266585826874},{"id":"https://openalex.org/keywords/lung-tumor","display_name":"Lung tumor","score":0.4129210412502289},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.38116782903671265},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3806636333465576},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2903084456920624},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1458142101764679},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.145692378282547}],"concepts":[{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.7093226313591003},{"id":"https://openalex.org/C2779126056","wikidata":"https://www.wikidata.org/wiki/Q337247","display_name":"Mediastinum","level":2,"score":0.4799628257751465},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.4725249409675598},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4580880403518677},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.43775027990341187},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4375115633010864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.429731547832489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4252266585826874},{"id":"https://openalex.org/C3018373657","wikidata":"https://www.wikidata.org/wiki/Q15124212","display_name":"Lung tumor","level":3,"score":0.4129210412502289},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.38116782903671265},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3806636333465576},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2903084456920624},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1458142101764679},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.145692378282547},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2011.6116042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/16777","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/16777","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.75,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1605887385","https://openalex.org/W1663973292","https://openalex.org/W1940093082","https://openalex.org/W1968296533","https://openalex.org/W2008664891","https://openalex.org/W2043337697","https://openalex.org/W2045734075","https://openalex.org/W2104716980","https://openalex.org/W2128280382","https://openalex.org/W2150992047","https://openalex.org/W2165496688","https://openalex.org/W2538302572","https://openalex.org/W2594639291","https://openalex.org/W6683892790"],"related_works":["https://openalex.org/W3199040512","https://openalex.org/W1999401283","https://openalex.org/W4313031141","https://openalex.org/W2990323019","https://openalex.org/W2014494654","https://openalex.org/W3130349901","https://openalex.org/W2636879879","https://openalex.org/W2093058714","https://openalex.org/W1578916557","https://openalex.org/W2396763425"],"abstract_inverted_index":{"Combined":[0],"PET-CT":[1,68],"is":[2,13,44,79],"now":[3],"increasingly":[4],"used":[5],"for":[6,52,59],"the":[7,15,89,104,108,112,119],"clinical":[8],"evaluation":[9],"of":[10,118,132],"cancer":[11,23],"and":[12,39,54],"arguably":[14],"best":[16],"tool":[17],"to":[18,29,81],"stage":[19],"non-small":[20],"cell":[21],"lung":[22,32,83],"(NSCLC).":[24],"We":[25,62,114],"propose":[26],"a":[27,47,55,128],"framework":[28,43,65],"better":[30],"delineate":[31,82],"tumors":[33,84,90,105],"which":[34,126],"utilizes":[35],"information":[36],"from":[37,70],"PET":[38,53,100],"CT":[40,60],"images.":[41,61],"The":[42],"based":[45],"on":[46],"downhill":[48],"region":[49],"growing":[50],"technique":[51],"Gaussian":[56],"mixture":[57],"model":[58],"applied":[63],"our":[64,77],"in":[66,85,99],"20":[67],"studies":[69],"patients":[71],"with":[72,96,121],"NSCLC.":[73],"Experiments":[74],"show":[75],"that":[76],"method":[78],"able":[80],"complex":[86],"cases":[87],"where":[88],"are":[91],"located":[92],"near":[93],"other":[94],"organs":[95],"similar":[97],"intensities":[98],"images":[101],"or":[102,111],"when":[103],"extends":[106],"into":[107],"chest":[109],"wall":[110],"mediastinum.":[113],"also":[115],"compared":[116],"10":[117],"datasets":[120],"experts":[122],"performing":[123],"manual":[124],"delineation,":[125],"produced":[127],"volumetric":[129],"overlapped":[130],"fraction":[131],"0.78":[133],"\u00b1":[134],"0.10.":[135]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
