{"id":"https://openalex.org/W2725436061","doi":"https://doi.org/10.1109/siu.2017.7960360","title":"Detection of mitotic cells in multispectral histopathological images","display_name":"Detection of mitotic cells in multispectral histopathological images","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2725436061","doi":"https://doi.org/10.1109/siu.2017.7960360","mag":"2725436061"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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/A5066036299","display_name":"H\u00fcseyin \u00c7ukur","orcid":null},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Huseyin Cukur","raw_affiliation_strings":["Elektonik ve Haberle\u015fme M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektonik ve Haberle\u015fme M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082045666","display_name":"G\u00f6khan Bilgin","orcid":"https://orcid.org/0000-0002-5532-477X"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gokhan Bilgin","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I4101805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066036299"],"corresponding_institution_ids":["https://openalex.org/I4101805"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60778665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9987000226974487,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9927999973297119,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8230533003807068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6900962591171265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6618626713752747},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6595981121063232},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.658233642578125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5865697860717773},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5436290502548218},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4276670217514038},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4234142601490021},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09195029735565186}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8230533003807068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6900962591171265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6618626713752747},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6595981121063232},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.658233642578125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5865697860717773},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5436290502548218},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4276670217514038},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4234142601490021},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09195029735565186},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W126699435","https://openalex.org/W1866954005","https://openalex.org/W1961632191","https://openalex.org/W2024971501","https://openalex.org/W2035257606","https://openalex.org/W2050883594","https://openalex.org/W2053154970","https://openalex.org/W2096003572","https://openalex.org/W2103243046","https://openalex.org/W2122394460","https://openalex.org/W2126032703","https://openalex.org/W2128899090","https://openalex.org/W2162023482","https://openalex.org/W2236311560","https://openalex.org/W2313698153","https://openalex.org/W2427429293","https://openalex.org/W2483915837","https://openalex.org/W6602002561"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2058127401","https://openalex.org/W2049864679"],"abstract_inverted_index":{"In":[0,60,77],"this":[1,61,78],"study,":[2],"high-resolution":[3],"detection":[4,22,40],"was":[5],"aimed":[6],"with":[7,84],"an":[8],"approach":[9],"based":[10],"on":[11],"the":[12,21,39,74,85,123,133],"simultaneous":[13],"consideration":[14],"of":[15,23,41,66,101],"spatial":[16,87],"and":[17,50,68,81,88,115,135],"spectral":[18,89],"relationships":[19],"in":[20,26,35,73,132],"mitotic":[24,42,67],"cells":[25,43,70],"digital":[27],"multispectral":[28,63],"histopathologic":[29,64],"images.":[30],"Thanks":[31],"to":[32,48],"these":[33],"studies":[34],"computer-aided":[36],"diagnosis":[37],"(CAD),":[38],"which":[44],"are":[45,91,130],"normally":[46],"difficult":[47],"examine":[49],"detect":[51],"by":[52,58,127],"microscopes":[53],"can":[54],"be":[55],"performed":[56],"automatically":[57],"experts.":[59],"context,":[62],"images":[65],"non-mitotic":[69],"were":[71,96],"extracted":[72],"first":[75],"step.":[76],"case,":[79],"training":[80,102],"test":[82],"samples":[83],"same":[86],"dimensions":[90],"obtained.":[92],"Subsequently,":[93],"classifier":[94],"models":[95],"developed":[97],"for":[98],"different":[99,128],"sets":[100],"clusters":[103],"using":[104],"support":[105],"vector":[106],"machines":[107],"(SVM),":[108],"random":[109],"forests":[110],"(RF),":[111],"naive":[112],"Bayes":[113],"(NB),":[114],"k-Nearest":[116],"Neighbor":[117],"classification":[118],"methods.":[119],"For":[120],"comparison":[121],"purposes,":[122],"numerical":[124],"results":[125,136],"obtained":[126],"methods":[129],"presented":[131],"experiments":[134],"section.":[137]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}