{"id":"https://openalex.org/W1971614851","doi":"https://doi.org/10.1109/icmlc.2013.6890407","title":"Adaptive marker-based watershed segmentation approach for T cell fluorescence images","display_name":"Adaptive marker-based watershed segmentation approach for T cell fluorescence images","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1971614851","doi":"https://doi.org/10.1109/icmlc.2013.6890407","mag":"1971614851"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2013.6890407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2013.6890407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101589508","display_name":"Ge Fan","orcid":"https://orcid.org/0000-0001-5653-1626"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Fan","raw_affiliation_strings":["School of Computer Science & Engineering, South China University of Technology, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688916","display_name":"Jianwei Zhang","orcid":"https://orcid.org/0000-0001-8358-6278"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Wei Zhang","raw_affiliation_strings":["School of Computer Science & Engineering, South China University of Technology, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103089300","display_name":"Yong Wu","orcid":"https://orcid.org/0000-0001-5985-7293"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wu","raw_affiliation_strings":["School of Computer Science & Engineering, South China University of Technology, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061695793","display_name":"Dongfa Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong-Fa Gao","raw_affiliation_strings":["School of Informatics, Guang Dong University of Foreign Studies, Guangzhou, China","School of Informatics, Guang Dong University of Foreign Studies, Guangzhou 510420, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Guang Dong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"School of Informatics, Guang Dong University of Foreign Studies, Guangzhou 510420, China","institution_ids":["https://openalex.org/I186272606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":"smc 9","issue":null,"first_page":"877","last_page":"883"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9890000224113464,"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/T10580","display_name":"Immunotherapy and Immune Responses","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8019284009933472},{"id":"https://openalex.org/keywords/watershed","display_name":"Watershed","score":0.7492169737815857},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.681918740272522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.670320451259613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6701411008834839},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6672382950782776},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5991837382316589},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5913186073303223},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46566036343574524},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08655819296836853}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8019284009933472},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.7492169737815857},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.681918740272522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.670320451259613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6701411008834839},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6672382950782776},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5991837382316589},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5913186073303223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46566036343574524},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08655819296836853},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2013.6890407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2013.6890407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7799999713897705,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W167154346","https://openalex.org/W1497420307","https://openalex.org/W1565415887","https://openalex.org/W1652775531","https://openalex.org/W1976735775","https://openalex.org/W2003730814","https://openalex.org/W2027150484","https://openalex.org/W2044599041","https://openalex.org/W2098703307","https://openalex.org/W2124260943","https://openalex.org/W2133059825","https://openalex.org/W2153592242","https://openalex.org/W2157840858","https://openalex.org/W3048851382","https://openalex.org/W4300189514","https://openalex.org/W6606755519","https://openalex.org/W6674616925","https://openalex.org/W6680096826","https://openalex.org/W6782305967"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2068651737","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4298131179","https://openalex.org/W1522196789"],"abstract_inverted_index":{"It":[0,88],"is":[1,39,65,76,96],"intractable":[2],"problem":[3],"to":[4,45,61,78,98],"segment":[5],"the":[6,68,71,80,84,90,108,127],"fluorescence":[7],"image":[8],"of":[9,70,92,101,126],"T-cells":[10,49],"with":[11],"different":[12,99],"sizes,":[13],"irregular":[14],"shape,":[15,57],"and":[16,83,118,124],"severe":[17],"overlapping":[18,85],"by":[19],"conventional":[20],"marker-based":[21],"watershed":[22],"segmentation.":[23,128],"In":[24],"this":[25,112],"paper,":[26],"Adaptive":[27],"Marker-controlled":[28],"Watershed":[29],"method":[30],"(AMWS)":[31],"will":[32],"be":[33],"proposed.":[34],"The":[35,103],"Otsu":[36],"strategy":[37,60,75,110],"firstly":[38],"performed":[40],"twice":[41],"in":[42,111],"a":[43],"row":[44],"capture":[46],"as":[47,50],"many":[48],"possible.":[51],"Then":[52],"based":[53],"on":[54],"T-cells'":[55],"roundish":[56],"an":[58],"improved":[59],"obtain":[62],"markers":[63],"adaptively":[64],"present":[66],"using":[67],"evaluation":[69],"segmentation":[72],"result.":[73],"This":[74],"able":[77],"mark":[79],"single":[81],"cell":[82],"cells":[86],"accurately.":[87],"avoids":[89],"ineffectiveness":[91],"ultimate":[93],"erosion":[94],"which":[95],"due":[97],"sizes":[100],"cells.":[102],"experimental":[104],"results":[105],"show":[106],"that":[107],"proposed":[109],"paper":[113],"can":[114],"effectively":[115],"avoid":[116],"over-segmentation":[117],"under-segmentation":[119],"thus":[120],"improves":[121],"both":[122],"accuracy":[123],"robustness":[125]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}