{"id":"https://openalex.org/W2052329245","doi":"https://doi.org/10.1109/jbhi.2015.2402173","title":"Adaptive Cosegmentation of Pheochromocytomas in CECT Images Using Localized Level Set Models","display_name":"Adaptive Cosegmentation of Pheochromocytomas in CECT Images Using Localized Level Set Models","publication_year":2015,"publication_date":"2015-02-10","ids":{"openalex":"https://openalex.org/W2052329245","doi":"https://doi.org/10.1109/jbhi.2015.2402173","mag":"2052329245","pmid":"https://pubmed.ncbi.nlm.nih.gov/25680219"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2015.2402173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2015.2402173","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5103457587","display_name":"San Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210151021","display_name":"Shanghai Institute of Computing Technology","ror":"https://ror.org/05ek0ze18","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151021"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"San Tang","raw_affiliation_strings":["Department of Electronic Engineering, Fudan University, Shanghai, China","Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I4210151021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049706279","display_name":"Yi Guo","orcid":"https://orcid.org/0000-0002-7142-2871"},"institutions":[{"id":"https://openalex.org/I4210151021","display_name":"Shanghai Institute of Computing Technology","ror":"https://ror.org/05ek0ze18","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151021"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Guo","raw_affiliation_strings":["Department of Electronic Engineering, Fudan University, Shanghai, China","Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I4210151021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423182","display_name":"Yuanyuan Wang","orcid":"https://orcid.org/0000-0003-1984-1136"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210151021","display_name":"Shanghai Institute of Computing Technology","ror":"https://ror.org/05ek0ze18","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Wang","raw_affiliation_strings":["Department of Electronic Engineering, Fudan University, Shanghai, China","Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I4210151021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026414876","display_name":"Wanli Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanli Cao","raw_affiliation_strings":["Department of Urology, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Urology, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071784786","display_name":"Fukang Sun","orcid":"https://orcid.org/0000-0003-1500-0196"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fukang Sun","raw_affiliation_strings":["Department of Urology, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Urology, Rujin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103457587"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210151021"],"apc_list":null,"apc_paid":null,"fwci":0.3682,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67950822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"20","issue":"2","first_page":"549","last_page":"562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9843000173568726,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.8188472986221313},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.734445333480835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6997511386871338},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6861388683319092},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6304824948310852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6069051027297974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.576930046081543},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5521772503852844},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5047723054885864},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48977160453796387},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47021105885505676},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.45453909039497375},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.45393240451812744},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4488421678543091},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4147354066371918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30576515197753906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10050615668296814},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06282839179039001}],"concepts":[{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.8188472986221313},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.734445333480835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6997511386871338},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6861388683319092},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6304824948310852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6069051027297974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.576930046081543},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5521772503852844},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5047723054885864},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48977160453796387},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47021105885505676},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.45453909039497375},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.45393240451812744},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4488421678543091},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4147354066371918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30576515197753906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10050615668296814},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06282839179039001},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000310","descriptor_name":"Adrenal Gland Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000310","descriptor_name":"Adrenal Gland Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000310","descriptor_name":"Adrenal Gland Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010673","descriptor_name":"Pheochromocytoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D010673","descriptor_name":"Pheochromocytoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D010673","descriptor_name":"Pheochromocytoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2015.2402173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2015.2402173","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:25680219","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25680219","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G1208846612","display_name":null,"funder_award_id":"14YF1400300","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G5196763209","display_name":null,"funder_award_id":"2015CB755500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8646973176","display_name":null,"funder_award_id":"61401102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1591483705","https://openalex.org/W1862674809","https://openalex.org/W1888550275","https://openalex.org/W1966707541","https://openalex.org/W1974835681","https://openalex.org/W1975377002","https://openalex.org/W1979393293","https://openalex.org/W1986643265","https://openalex.org/W1988117153","https://openalex.org/W1989135034","https://openalex.org/W1991113069","https://openalex.org/W1992632596","https://openalex.org/W1993105593","https://openalex.org/W2003258143","https://openalex.org/W2004600904","https://openalex.org/W2005424083","https://openalex.org/W2028349147","https://openalex.org/W2029430517","https://openalex.org/W2043140964","https://openalex.org/W2044250551","https://openalex.org/W2050302867","https://openalex.org/W2079707637","https://openalex.org/W2080593651","https://openalex.org/W2085799631","https://openalex.org/W2103858720","https://openalex.org/W2104095591","https://openalex.org/W2108709260","https://openalex.org/W2110511424","https://openalex.org/W2111744777","https://openalex.org/W2112891016","https://openalex.org/W2114444010","https://openalex.org/W2114487471","https://openalex.org/W2115664739","https://openalex.org/W2116040950","https://openalex.org/W2119173284","https://openalex.org/W2125130222","https://openalex.org/W2137978892","https://openalex.org/W2138524633","https://openalex.org/W2139264066","https://openalex.org/W2157727190","https://openalex.org/W2162077303","https://openalex.org/W2331108513","https://openalex.org/W3211330693","https://openalex.org/W4210969235","https://openalex.org/W6651038036"],"related_works":["https://openalex.org/W2367921179","https://openalex.org/W3080476861","https://openalex.org/W657288383","https://openalex.org/W2098360446","https://openalex.org/W2373659438","https://openalex.org/W2102683994","https://openalex.org/W2063813108","https://openalex.org/W2050783914","https://openalex.org/W2736846486","https://openalex.org/W2385310810"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,17,32,69,141],"pheochromocytomas":[2],"in":[3,126,139,151],"contrast-enhanced":[4],"computed":[5],"tomography":[6],"(CECT)":[7],"images":[8,34],"is":[9,51,65,98,137],"an":[10],"ill-posed":[11],"problem":[12],"due":[13],"to":[14,36,88,100,119],"the":[15,73,90,103,121,133,152],"presence":[16],"weak":[18,155],"boundaries,":[19,156],"intratumoral":[20],"degeneration,":[21],"and":[22,25,82,116,146,157,160],"nearby":[23],"structures":[24],"clutter.":[26],"Additional":[27],"information":[28,76],"from":[29,77,110],"different":[30],"phases":[31,145],"CECT":[33,128],"needs":[35],"be":[37],"imposed":[38],"for":[39],"better":[40,148],"mass":[41],"segmentations.":[42],"In":[43],"this":[44],"paper,":[45],"a":[46,55],"novel":[47],"adaptive":[48,70,134],"cosegmentation":[49],"method":[50,136],"proposed":[52],"by":[53],"incorporating":[54],"localized":[56],"region-based":[57],"level":[58,91,107],"set":[59,92,108],"model":[60],"(LRLSM).":[61],"The":[62],"energy":[63,122],"function":[64],"formulated":[66],"with":[67,154],"consideration":[68],"tradeoff":[71],"between":[72],"complementary":[74],"local":[75],"image":[78,112,129],"pairs.":[79],"Gradient":[80],"direction":[81],"shape":[83],"dissimilarity":[84],"measure":[85],"are":[86,114],"integrated":[87],"guide":[89],"evolution.":[93],"Automatic":[94],"localization":[95],"radius":[96],"selection":[97],"added":[99],"further":[101],"facilitate":[102],"segmentation.":[104],"Then,":[105],"two":[106,144],"functions":[109],"each":[111],"pair":[113],"evolved":[115],"refined":[117],"alternately":[118],"minimize":[120],"function.":[123],"Experimental":[124],"results":[125],"50":[127],"pairs":[130],"show":[131],"that":[132],"LRLSM-based":[135],"effective":[138],"segmentation":[140],"pheochromocytoma":[142],"at":[143],"produces":[147],"results,":[149],"especially":[150],"cases":[153],"complex":[158],"foreground":[159],"background.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
