{"id":"https://openalex.org/W2424512063","doi":"https://doi.org/10.1109/isbi.2016.7493247","title":"Multi-channel algorithm for segmentation of tumor blood vessels using multiplexed image data","display_name":"Multi-channel algorithm for segmentation of tumor blood vessels using multiplexed image data","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2424512063","doi":"https://doi.org/10.1109/isbi.2016.7493247","mag":"2424512063"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2016.7493247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","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/A5053211372","display_name":"Yousef Al\u2010Kofahi","orcid":"https://orcid.org/0000-0001-6093-6001"},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yousef Al-Kofahi","raw_affiliation_strings":["GE Global Research, New York"],"affiliations":[{"raw_affiliation_string":"GE Global Research, New York","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076728915","display_name":"Christopher J. Sevinsky","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Sevinsky","raw_affiliation_strings":["GE Global Research, New York"],"affiliations":[{"raw_affiliation_string":"GE Global Research, New York","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025131969","display_name":"Alberto Santamar\u00eda-Pang","orcid":"https://orcid.org/0000-0003-4012-8394"},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alberto Santamaria-Pang","raw_affiliation_strings":["GE Global Research, New York"],"affiliations":[{"raw_affiliation_string":"GE Global Research, New York","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081260142","display_name":"Fiona Ginty","orcid":"https://orcid.org/0000-0001-6638-683X"},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fiona Ginty","raw_affiliation_strings":["GE Global Research, New York"],"affiliations":[{"raw_affiliation_string":"GE Global Research, New York","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003948628","display_name":"Anup Sood","orcid":"https://orcid.org/0000-0001-7768-0209"},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anup Sood","raw_affiliation_strings":["GE Global Research, New York"],"affiliations":[{"raw_affiliation_string":"GE Global Research, New York","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404169","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-2652-6070"},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["GE Global Research, New York"],"affiliations":[{"raw_affiliation_string":"GE Global Research, New York","institution_ids":["https://openalex.org/I4210134512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053211372"],"corresponding_institution_ids":["https://openalex.org/I4210134512"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03445699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"213","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10422","display_name":"Angiogenesis and VEGF in Cancer","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10422","display_name":"Angiogenesis and VEGF in Cancer","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10831","display_name":"Cell Adhesion Molecules Research","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2723","display_name":"Immunology and Allergy"},"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/angiogenesis","display_name":"Angiogenesis","score":0.7296091318130493},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7243412137031555},{"id":"https://openalex.org/keywords/blood-vessel","display_name":"Blood vessel","score":0.7163777351379395},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5755032300949097},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.525675356388092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5212550759315491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4037218391895294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36022329330444336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3593834638595581},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.3426974415779114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32572662830352783},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2139057219028473},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.141706645488739},{"id":"https://openalex.org/keywords/cancer-research","display_name":"Cancer research","score":0.08489161729812622}],"concepts":[{"id":"https://openalex.org/C2780394083","wikidata":"https://www.wikidata.org/wiki/Q539568","display_name":"Angiogenesis","level":2,"score":0.7296091318130493},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7243412137031555},{"id":"https://openalex.org/C2777663904","wikidata":"https://www.wikidata.org/wiki/Q988343","display_name":"Blood vessel","level":2,"score":0.7163777351379395},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5755032300949097},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.525675356388092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5212550759315491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4037218391895294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36022329330444336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3593834638595581},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.3426974415779114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32572662830352783},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2139057219028473},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.141706645488739},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.08489161729812622},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2016.7493247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1978139448","https://openalex.org/W1991140840","https://openalex.org/W1992112921","https://openalex.org/W2015255108","https://openalex.org/W2100608628","https://openalex.org/W2129534965","https://openalex.org/W2132670761","https://openalex.org/W2133059825","https://openalex.org/W2151081836","https://openalex.org/W2151562353"],"related_works":["https://openalex.org/W2653474507","https://openalex.org/W2907384233","https://openalex.org/W4391317930","https://openalex.org/W1522196789","https://openalex.org/W2414879916","https://openalex.org/W2051449188","https://openalex.org/W2789606105","https://openalex.org/W2030590715","https://openalex.org/W2170257836","https://openalex.org/W4320061831"],"abstract_inverted_index":{"Angiogenesis":[0],"is":[1],"the":[2,94,115,123],"development":[3],"of":[4,15,20,90,125],"new":[5,112],"vasculature":[6],"from":[7,67],"existing":[8],"vasculature.":[9],"The":[10],"developmental":[11],"biology":[12],"and":[13,51,129],"pathology":[14],"angiogenesis":[16,126],"are":[17,35],"major":[18],"focuses":[19],"biomedical":[21],"research.":[22],"While":[23],"many":[24],"segmentation":[25],"algorithms":[26],"have":[27],"been":[28],"implemented":[29],"for":[30],"blood":[31,42,69],"vessel":[32,43,53,81,91,116],"analysis,":[33],"they":[34],"limited":[36],"by":[37,47,103],"maturation":[38],"dependent":[39],"variation":[40],"in":[41,88,122,127],"protein":[44],"expression,":[45],"expression":[46],"other":[48],"cell":[49],"types":[50],"discontinuous":[52],"staining":[54],"due":[55],"to":[56,72,78],"tissue":[57],"sectioning.":[58],"We":[59],"describe":[60],"a":[61],"method":[62],"that":[63,110],"combines":[64],"image":[65],"data":[66],"multiple":[68],"vessel-expressed":[70],"proteins":[71],"dynamically":[73],"estimate":[74],"optimal":[75],"correlation":[76],"metrics":[77],"drive":[79],"improved":[80],"segmentation.":[82],"A":[83],"single":[84],"marker":[85],"approach":[86,113],"resulted":[87],"overestimation":[89],"number,":[92],"whereas":[93],"multi-channel":[95],"algorithm":[96],"agreed":[97],"closely":[98],"with":[99],"manual":[100],"counts":[101],"generated":[102],"two":[104],"independent":[105],"observers.":[106],"Our":[107],"results":[108],"suggest":[109],"this":[111],"improves":[114],"segmentation,":[117],"which":[118],"will":[119],"be":[120],"useful":[121],"study":[124],"health":[128],"disease.":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
