{"id":"https://openalex.org/W2105396905","doi":"https://doi.org/10.1109/bmei.2009.5305309","title":"Hybrid Contour Model for Segmentation of Cell Nucleolus and Membranes","display_name":"Hybrid Contour Model for Segmentation of Cell Nucleolus and Membranes","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2105396905","doi":"https://doi.org/10.1109/bmei.2009.5305309","mag":"2105396905"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2009.5305309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2009.5305309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd International Conference on Biomedical Engineering and Informatics","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/A5060173884","display_name":"Min Chen","orcid":"https://orcid.org/0009-0009-5276-1219"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Chen","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China","Zhejiang University of Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055627037","display_name":"Shengyong Chen","orcid":"https://orcid.org/0000-0002-6705-3831"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyong Chen","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China","Zhejiang University of Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058671031","display_name":"Qiu Guan","orcid":"https://orcid.org/0000-0002-6928-3040"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiu Guan","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China","Zhejiang University of Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060173884"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.527,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7170339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9887999892234802,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9887999892234802,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10725","display_name":"RNA Interference and Gene Delivery","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.6740925908088684},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6573902368545532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5837368965148926},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.552168071269989},{"id":"https://openalex.org/keywords/contour-line","display_name":"Contour line","score":0.5108315944671631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4635765850543976},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43093204498291016},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39774101972579956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3924098312854767},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38281944394111633},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15580615401268005},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10000139474868774}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.6740925908088684},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6573902368545532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5837368965148926},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.552168071269989},{"id":"https://openalex.org/C86069527","wikidata":"https://www.wikidata.org/wiki/Q6653802","display_name":"Contour line","level":2,"score":0.5108315944671631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4635765850543976},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43093204498291016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39774101972579956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3924098312854767},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38281944394111633},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15580615401268005},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10000139474868774},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2009.5305309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2009.5305309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd International Conference on Biomedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1988189270","https://openalex.org/W1990529284","https://openalex.org/W2073982904","https://openalex.org/W2112891016","https://openalex.org/W2116040950","https://openalex.org/W2122184585","https://openalex.org/W2126563020","https://openalex.org/W2128089874","https://openalex.org/W2128589733","https://openalex.org/W2139478903","https://openalex.org/W2145803225","https://openalex.org/W2148395215","https://openalex.org/W2149184914","https://openalex.org/W2165734775","https://openalex.org/W2344048381","https://openalex.org/W4241283611","https://openalex.org/W6677607857"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W2365596436","https://openalex.org/W1522196789","https://openalex.org/W2375013257","https://openalex.org/W4210537690","https://openalex.org/W2885157826","https://openalex.org/W2159463658","https://openalex.org/W2051067977"],"abstract_inverted_index":{"Regional":[0],"difference":[1],"is":[2,98,106,126],"the":[3,7,29,38,49,53,58,87,94,101,109,123,131,140],"kernel":[4],"guidance":[5],"in":[6,115,152],"area":[8],"of":[9,31,52,60,89,96,108,149],"image":[10],"segmentation.":[11],"In":[12],"this":[13],"paper,":[14],"we":[15],"present":[16],"a":[17],"novel":[18],"region-based":[19],"active":[20,54],"contour":[21,30,55,97],"model":[22,56,151],"that":[23,71],"could":[24,74,81],"be":[25,75,82],"applied":[26],"to":[27,128],"detect":[28],"both":[32],"nucleolus":[33],"and":[34,42,66,77,91,111,133],"cell":[35],"membrane":[36],"from":[37],"background.":[39],"Both":[40],"local":[41,65,72,90,110,132],"global":[43,67,78,92,112,134],"intensity":[44],"information":[45,125],"are":[46],"used":[47],"as":[48,139],"driving":[50],"forces":[51,69],"on":[57],"principle":[59],"maximum":[61],"regional":[62],"difference.":[63],"The":[64],"fitting":[68,103,113,135,142],"ensure":[70],"dissimilarities":[73],"captured":[76],"different":[79],"areas":[80],"segmented":[83],"respectively.":[84],"By":[85],"combining":[86],"advantages":[88],"information,":[93],"motion":[95],"driven":[99],"by":[100],"mixed":[102,141],"force,":[104],"which":[105],"composed":[107],"term":[114],"energy":[116],"functional.":[117],"A":[118],"strategic":[119],"weight":[120],"parameter":[121],"using":[122],"gradient":[124],"introduced":[127],"explain":[129],"how":[130],"terms":[136],"work":[137],"together":[138],"force.":[143],"Experimental":[144],"results":[145],"show":[146],"desirable":[147],"performances":[148],"our":[150],"segmenting":[153],"nucleolus.":[154]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
