{"id":"https://openalex.org/W1981334170","doi":"https://doi.org/10.1109/iembs.2011.6090924","title":"Automated CT liver segmentation using improved Chan-Vese model with global shape constrained energy","display_name":"Automated CT liver segmentation using improved Chan-Vese model with global shape constrained energy","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W1981334170","doi":"https://doi.org/10.1109/iembs.2011.6090924","mag":"1981334170","pmid":"https://pubmed.ncbi.nlm.nih.gov/22255073"},"language":"en","primary_location":{"id":"doi:10.1109/iembs.2011.6090924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iembs.2011.6090924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046614213","display_name":"Xiuying Wang","orcid":"https://orcid.org/0000-0001-7160-5929"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The 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 and Multimedia Information Technology, Research Group, School of Information Technologies, University of Sydney, Australia. xiuying@it.usyd.edu.au","Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Technologies,, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical and Multimedia Information Technology, Research Group, School of Information Technologies, University of Sydney, Australia. xiuying@it.usyd.edu.au","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Technologies,, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101990067","display_name":"Chaojie Zheng","orcid":"https://orcid.org/0000-0003-2418-7669"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The 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":"Chaojie Zheng","raw_affiliation_strings":["Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Technologies,, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Technologies,, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569536","display_name":"Changyang Li","orcid":"https://orcid.org/0000-0002-0074-3889"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The 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":"Changyang Li","raw_affiliation_strings":["Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Technologies,, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Technologies,, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100715073","display_name":"Yong Yin","orcid":"https://orcid.org/0000-0003-2321-9200"},"institutions":[{"id":"https://openalex.org/I4210100830","display_name":"Shandong Tumor Hospital","ror":"https://ror.org/01413r497","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210100830"]},{"id":"https://openalex.org/I4210163399","display_name":"Shandong First Medical University","ror":"https://ror.org/05jb9pq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yin","raw_affiliation_strings":["Department of Radiation Oncology, Shandong Tumor Hospital, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Shandong Tumor Hospital, Jinan, China","institution_ids":["https://openalex.org/I4210100830","https://openalex.org/I4210163399"]}]},{"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/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"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/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["AU","CN","HK"],"is_corresponding":false,"raw_author_name":"D. D. Feng","raw_affiliation_strings":["BMIT Research Group, School of IT, University of Sydney, Australia","CMSP, Department of EIE, Hong Kong Polytechnic University, Hong Kong, China","Med-X Research Institute, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMIT Research Group, School of IT, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"CMSP, Department of EIE, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Med-X Research Institute, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2011","issue":null,"first_page":"3415","last_page":"3418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10862","display_name":"AI in cancer detection","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9965000152587891,"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/segmentation","display_name":"Segmentation","score":0.8133480548858643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7473228573799133},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6287220120429993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6133008003234863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6060135364532471},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5710198879241943},{"id":"https://openalex.org/keywords/signed-distance-function","display_name":"Signed distance function","score":0.550028920173645},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5290143489837646},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5209537744522095},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.516827404499054},{"id":"https://openalex.org/keywords/point-distribution-model","display_name":"Point distribution model","score":0.49208587408065796},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.465758353471756},{"id":"https://openalex.org/keywords/energy-functional","display_name":"Energy functional","score":0.4265931248664856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27420198917388916},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10164359211921692}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8133480548858643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7473228573799133},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6287220120429993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133008003234863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6060135364532471},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5710198879241943},{"id":"https://openalex.org/C71169176","wikidata":"https://www.wikidata.org/wiki/Q7512907","display_name":"Signed distance function","level":2,"score":0.550028920173645},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5290143489837646},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5209537744522095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.516827404499054},{"id":"https://openalex.org/C118317068","wikidata":"https://www.wikidata.org/wiki/Q2100760","display_name":"Point distribution model","level":2,"score":0.49208587408065796},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.465758353471756},{"id":"https://openalex.org/C191640071","wikidata":"https://www.wikidata.org/wiki/Q5377056","display_name":"Energy functional","level":2,"score":0.4265931248664856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27420198917388916},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10164359211921692},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"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":"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":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"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},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/iembs.2011.6090924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iembs.2011.6090924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:22255073","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22255073","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/12071","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/12071","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":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1991113069","https://openalex.org/W2038218396","https://openalex.org/W2038952578","https://openalex.org/W2104276184","https://openalex.org/W2109759912","https://openalex.org/W2116040950","https://openalex.org/W2127453010","https://openalex.org/W2136537268","https://openalex.org/W2142853128","https://openalex.org/W2143781397","https://openalex.org/W2147484997","https://openalex.org/W2153431772","https://openalex.org/W2158362736","https://openalex.org/W2167338900","https://openalex.org/W2168161078","https://openalex.org/W6676198305"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W80586315","https://openalex.org/W2758994127"],"abstract_inverted_index":{"In":[0,102],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5],"automated":[6],"liver":[7,21,32,47,134],"segmentation":[8,135],"method":[9,128],"to":[10,77,86],"overcome":[11],"the":[12,31,39,52,60,68,74,79,88,95,100],"challenging":[13],"issues":[14],"of":[15,18,41,138],"high":[16],"degree":[17],"variations":[19],"in":[20,49],"shape":[22,44,80,97],"/":[23],"size":[24],"and":[25,33,82,92,113,132,140],"similar":[26],"density":[27],"distribution":[28],"shared":[29],"by":[30,99],"its":[34],"surrounding":[35],"structures.":[36],"To":[37],"improve":[38,73],"performance":[40],"conventional":[42],"statistical":[43],"model":[45,76],"for":[46,111,120],"segmentation,":[48],"our":[50,103,127],"method,":[51],"signed":[53],"distance":[54],"function":[55],"is":[56,63],"utilized":[57],"so":[58],"that":[59,126],"landmarks":[61],"correspondence":[62],"not":[64],"required":[65],"when":[66],"performing":[67],"principle":[69],"component":[70],"analysis.":[71],"We":[72],"Chan-Vese":[75],"bind":[78],"energy":[81],"local":[83],"intensity":[84],"feature":[85],"evolve":[87],"surface":[89],"both":[90,137],"globally":[91],"locally":[93],"toward":[94],"closest":[96],"driven":[98],"PCA.":[101],"experiments,":[104],"20":[105],"clinical":[106,115],"CT":[107,116,142],"studies":[108,117],"were":[109,118],"used":[110,119],"training":[112],"25":[114],"validation.":[121],"Our":[122],"experimental":[123],"results":[124],"demonstrate":[125],"can":[129],"achieve":[130],"accurate":[131],"robust":[133],"from":[136],"low-contrast":[139],"high-contrast":[141],"images.":[143]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}