{"id":"https://openalex.org/W2185824146","doi":"https://doi.org/10.1109/sips.2015.7344978","title":"A simple and accurate method for white blood cells segmentation using K-means algorithm","display_name":"A simple and accurate method for white blood cells segmentation using K-means algorithm","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2185824146","doi":"https://doi.org/10.1109/sips.2015.7344978","mag":"2185824146"},"language":"en","primary_location":{"id":"doi:10.1109/sips.2015.7344978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2015.7344978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Signal Processing Systems (SiPS)","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/A5087700545","display_name":"Omid Sarrafzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I114982161","display_name":"Isfahan University of Medical Sciences","ror":"https://ror.org/04waqzz56","country_code":"IR","type":"education","lineage":["https://openalex.org/I114982161"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Omid Sarrafzadeh","raw_affiliation_strings":["Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran","institution_ids":["https://openalex.org/I114982161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107823946","display_name":"Alireza Mehri Dehnavi","orcid":null},"institutions":[{"id":"https://openalex.org/I114982161","display_name":"Isfahan University of Medical Sciences","ror":"https://ror.org/04waqzz56","country_code":"IR","type":"education","lineage":["https://openalex.org/I114982161"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Alireza Mehri Dehnavi","raw_affiliation_strings":["Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran","institution_ids":["https://openalex.org/I114982161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052490368","display_name":"Hossein Rabbani","orcid":"https://orcid.org/0000-0002-0551-3636"},"institutions":[{"id":"https://openalex.org/I114982161","display_name":"Isfahan University of Medical Sciences","ror":"https://ror.org/04waqzz56","country_code":"IR","type":"education","lineage":["https://openalex.org/I114982161"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hossein Rabbani","raw_affiliation_strings":["Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran","institution_ids":["https://openalex.org/I114982161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059915468","display_name":"Ardeshir Talebi","orcid":"https://orcid.org/0000-0001-7313-5086"},"institutions":[{"id":"https://openalex.org/I114982161","display_name":"Isfahan University of Medical Sciences","ror":"https://ror.org/04waqzz56","country_code":"IR","type":"education","lineage":["https://openalex.org/I114982161"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ardeshir Talebi","raw_affiliation_strings":["Department of Pathology, Isfahan University of Medical Sciences, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, Isfahan University of Medical Sciences, Isfahan, Iran","institution_ids":["https://openalex.org/I114982161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114982161"],"apc_list":null,"apc_paid":null,"fwci":1.4977,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.88378161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":1.0,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":1.0,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9133999943733215,"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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9016000032424927,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.7104607820510864},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6943283677101135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6573648452758789},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.640703022480011},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5889230370521545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5600778460502625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.549353301525116},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4899212718009949},{"id":"https://openalex.org/keywords/prime","display_name":"Prime (order theory)","score":0.4854141175746918},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4808298349380493},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47157615423202515},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4613293707370758},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4489542245864868},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.44516322016716003},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4141181707382202},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38445910811424255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30823296308517456},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08053693175315857}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.7104607820510864},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6943283677101135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6573648452758789},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.640703022480011},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5889230370521545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5600778460502625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.549353301525116},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4899212718009949},{"id":"https://openalex.org/C184992742","wikidata":"https://www.wikidata.org/wiki/Q7243229","display_name":"Prime (order theory)","level":2,"score":0.4854141175746918},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4808298349380493},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47157615423202515},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4613293707370758},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4489542245864868},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.44516322016716003},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4141181707382202},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38445910811424255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30823296308517456},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08053693175315857},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sips.2015.7344978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2015.7344978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W154084981","https://openalex.org/W155685019","https://openalex.org/W1509508444","https://openalex.org/W1535386177","https://openalex.org/W1549727664","https://openalex.org/W1574756641","https://openalex.org/W1608047833","https://openalex.org/W1678695179","https://openalex.org/W1895806900","https://openalex.org/W1941812433","https://openalex.org/W2007750032","https://openalex.org/W2045170979","https://openalex.org/W2047922146","https://openalex.org/W2080860745","https://openalex.org/W2086472667","https://openalex.org/W2091463880","https://openalex.org/W2096761600","https://openalex.org/W2104095591","https://openalex.org/W2110218375","https://openalex.org/W2120332621","https://openalex.org/W2156354701","https://openalex.org/W2161950489","https://openalex.org/W2167809092","https://openalex.org/W2405367521","https://openalex.org/W2534622136","https://openalex.org/W2585015296","https://openalex.org/W2919879609","https://openalex.org/W4285719527","https://openalex.org/W6631920345","https://openalex.org/W6636340130","https://openalex.org/W6639570313","https://openalex.org/W6673646340","https://openalex.org/W6675770446"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W3127229356","https://openalex.org/W2000801317","https://openalex.org/W2294604808","https://openalex.org/W4368283028","https://openalex.org/W1984270672"],"abstract_inverted_index":{"White":[0],"Blood":[1],"Cells":[2],"(WBCs)":[3],"counting":[4,14],"provides":[5],"invaluable":[6],"information":[7],"for":[8,17,29],"diagnosis":[9],"of":[10,136],"different":[11],"disease.":[12],"Automatic":[13],"is":[15,27,45,50,84,108],"helpful":[16],"improving":[18],"the":[19,93],"hematological":[20],"procedure.":[21],"First":[22],"step":[23],"in":[24,56,82,116,148],"automation;":[25],"segmentation;":[26],"crucial":[28],"subsequent":[30],"steps;":[31],"feature":[32],"extraction":[33],"and":[34,58,80,98,105,110,128,140],"classification.":[35],"In":[36],"this":[37],"paper,":[38],"WBCs":[39],"segmentation":[40],"using":[41],"K-means":[42],"Clustering":[43],"(KMC)":[44],"proposed.":[46],"First,":[47],"RGB":[48],"image":[49,79,104,107],"converted":[51,111],"to":[52,62,70,86,91,112,120,125],"a*L*b*.":[53],"Next,":[54,95,114],"data":[55,81,115],"a*":[57],"b*":[59,117],"are":[60,75,100,118,146],"fed":[61,85,119],"KMC":[63,87,121],"with":[64,88,122],"proper":[65],"Initial":[66],"Seed":[67],"Points":[68],"(ISP)":[69],"extract":[71],"nuclei.":[72],"Then,":[73],"nuclei":[74,97],"subtracted":[76,101],"from":[77,102],"prime":[78,103],"L*":[83],"suitable":[89],"ISP":[90,124],"estimate":[92],"background.":[94],"both":[96],"background":[99],"residual":[106],"enhanced":[109],"L*a*b*.":[113],"appropriate":[123],"segment":[126],"cytoplasm":[127],"finally":[129],"entire":[130],"cell.":[131],"We":[132],"achieved":[133],"an":[134],"average":[135],"6.46%":[137],"Segmentation":[138],"Error":[139],"93.71%":[141],"Jaccard":[142],"Similarity":[143],"Index":[144],"which":[145],"desired":[147],"segmentation.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}