{"id":"https://openalex.org/W2066856376","doi":"https://doi.org/10.1109/icip.2013.6738236","title":"Segmentation of kidneys from computed tomography using 3D fast GrowCut algorithm","display_name":"Segmentation of kidneys from computed tomography using 3D fast GrowCut algorithm","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2066856376","doi":"https://doi.org/10.1109/icip.2013.6738236","mag":"2066856376"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5065310582","display_name":"Gao-Yuan Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gao-Yuan Dai","raw_affiliation_strings":["Computer School South China Normal University, Guangzhou, China","Shenzhen Key Lab. for Low-cost Healthcare, Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Computer School South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"Shenzhen Key Lab. for Low-cost Healthcare, Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622225","display_name":"Zhicheng Li","orcid":"https://orcid.org/0000-0003-4140-0580"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Cheng Li","raw_affiliation_strings":["Shenzhen Key Laboratory for Low-cost Healthcare, Chinese Academy of Sciences, Shenzhen, China","Shenzhen Key Lab. for Low-cost Healthcare, Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory for Low-cost Healthcare, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen Key Lab. for Low-cost Healthcare, Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755117","display_name":"Jia Gu","orcid":"https://orcid.org/0000-0001-7498-9892"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Gu","raw_affiliation_strings":["Shenzhen Key Laboratory for Low-cost Healthcare, Chinese Academy of Sciences, Shenzhen, China","Shenzhen Key Lab. for Low-cost Healthcare, Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory for Low-cost Healthcare, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen Key Lab. for Low-cost Healthcare, Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435996","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-7033-9806"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Shenzhen Key Laboratory for Low-cost Healthcare, Chinese Academy of Sciences, Shenzhen, China","Shenzhen Key Lab. for Low-cost Healthcare, Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory for Low-cost Healthcare, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen Key Lab. for Low-cost Healthcare, Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101582315","display_name":"Xingmin Li","orcid":"https://orcid.org/0000-0003-4008-7713"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing-Min Li","raw_affiliation_strings":["Computer School South China Normal University, Guangzhou, China","Comput. Sch., South China Normal Univ., Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Computer School South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"Comput. Sch., South China Normal Univ., Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065310582"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":0.8165,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76888106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"1144","last_page":"1147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9904000163078308,"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":0.9855999946594238,"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/computed-tomography","display_name":"Computed tomography","score":0.7023091316223145},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.676469624042511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6002951860427856},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.5981127619743347},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5598524808883667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.526422917842865},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5208573937416077},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.5128055214881897},{"id":"https://openalex.org/keywords/gray","display_name":"Gray (unit)","score":0.49177125096321106},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4781642556190491},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4306967854499817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32370761036872864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2516708970069885},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08784744143486023},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.07347977161407471},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06841102242469788},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.06097358465194702}],"concepts":[{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.7023091316223145},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.676469624042511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6002951860427856},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.5981127619743347},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5598524808883667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.526422917842865},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5208573937416077},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.5128055214881897},{"id":"https://openalex.org/C166275286","wikidata":"https://www.wikidata.org/wiki/Q190095","display_name":"Gray (unit)","level":2,"score":0.49177125096321106},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4781642556190491},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4306967854499817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32370761036872864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2516708970069885},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08784744143486023},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.07347977161407471},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06841102242469788},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.06097358465194702},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":1,"locations":[{"id":"doi:10.1109/icip.2013.6738236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W49481999","https://openalex.org/W392873248","https://openalex.org/W1824888789","https://openalex.org/W1964715128","https://openalex.org/W1993947467","https://openalex.org/W1999244633","https://openalex.org/W2038952578","https://openalex.org/W2049516470","https://openalex.org/W2076092856","https://openalex.org/W2118386984","https://openalex.org/W2148875485","https://openalex.org/W2150227353","https://openalex.org/W2152502777","https://openalex.org/W2334164689","https://openalex.org/W4211210403"],"related_works":["https://openalex.org/W2022419910","https://openalex.org/W2808615211","https://openalex.org/W4246259471","https://openalex.org/W4239226046","https://openalex.org/W4246457037","https://openalex.org/W4242705089","https://openalex.org/W659309325","https://openalex.org/W4251930800","https://openalex.org/W1989714207","https://openalex.org/W4254289682"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,54,63],"fast":[4],"GrowCut":[5],"(FGC)":[6],"algorithm":[7,12],"and":[8,45,82],"applies":[9],"the":[10,27,39],"new":[11],"in":[13,34,57,66,80],"three-dimensional":[14],"(3D)":[15],"kidney":[16],"segmentation":[17],"from":[18],"computed":[19],"tomography":[20],"(CT)":[21],"volume":[22],"data.":[23],"Users":[24],"could":[25],"mark":[26],"object":[28],"of":[29,78],"interest":[30],"with":[31,68],"different":[32],"labels":[33,40],"CT":[35],"slices.":[36],"FGC":[37,79],"propagates":[38],"using":[41],"monotonically":[42],"decreasing":[43],"function":[44],"gray":[46,60],"features":[47,61],"to":[48],"derive":[49],"an":[50],"optimal":[51],"cut":[52],"for":[53],"given":[55],"data":[56],"space.":[58],"The":[59,71],"play":[62],"great":[64],"role":[65],"comparing":[67],"neighborhood":[69],"cells.":[70],"experimental":[72],"results":[73],"clearly":[74],"demonstrate":[75],"nie":[76],"superiority":[77],"accuracy":[81],"speed.":[83]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
