{"id":"https://openalex.org/W1963574328","doi":"https://doi.org/10.1109/healthcom.2013.6720751","title":"Application of Support Vector Machine and k-means clustering algorithms for robust chronic lymphocytic leukemia color cell segmentation","display_name":"Application of Support Vector Machine and k-means clustering algorithms for robust chronic lymphocytic leukemia color cell segmentation","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1963574328","doi":"https://doi.org/10.1109/healthcom.2013.6720751","mag":"1963574328"},"language":"en","primary_location":{"id":"doi:10.1109/healthcom.2013.6720751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/healthcom.2013.6720751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013)","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/A5008595017","display_name":"Emad A. Mohammed","orcid":"https://orcid.org/0000-0001-8722-4856"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Emad A. Mohammed","raw_affiliation_strings":["Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada","Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008779348","display_name":"Behrouz H. Far","orcid":"https://orcid.org/0000-0003-1589-8039"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Behrouz H. Far","raw_affiliation_strings":["Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada","Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108900122","display_name":"Mostafa M.A. Mohamed","orcid":null},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]},{"id":"https://openalex.org/I4210092646","display_name":"Calgary Laboratory Services","ror":"https://ror.org/00g6ztp19","country_code":"CA","type":"facility","lineage":["https://openalex.org/I126859394","https://openalex.org/I4210092646"]}],"countries":["CA","EG"],"is_corresponding":false,"raw_author_name":"Mostafa M.A. Mohamed","raw_affiliation_strings":["Department of Pathology, Calgary Laboratory Services, Calgary, AB, Canada","Biomed. Eng., Helwan Univ., Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Calgary Laboratory Services, Calgary, AB, Canada","institution_ids":["https://openalex.org/I4210092646"]},{"raw_affiliation_string":"Biomed. Eng., Helwan Univ., Cairo, Egypt","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063558122","display_name":"Christopher Naugler","orcid":"https://orcid.org/0000-0002-4570-1279"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]},{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["CA","EG"],"is_corresponding":false,"raw_author_name":"Christopher Naugler","raw_affiliation_strings":["Biomedical Engineering, Helwan University, Cairo, Egypt","Department of Pathology University of Calgary Calgary AB Canada"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering, Helwan University, Cairo, Egypt","institution_ids":["https://openalex.org/I84058292"]},{"raw_affiliation_string":"Department of Pathology University of Calgary Calgary AB Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008595017"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":1.6329,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.85222647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"622","last_page":"626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9976000189781189,"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":0.9976000189781189,"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/T11157","display_name":"Chronic Lymphocytic Leukemia Research","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/T10602","display_name":"Glycosylation and Glycoproteins Research","score":0.9815000295639038,"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/segmentation","display_name":"Segmentation","score":0.7530547380447388},{"id":"https://openalex.org/keywords/chronic-lymphocytic-leukemia","display_name":"Chronic lymphocytic leukemia","score":0.7205691337585449},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.672347903251648},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6452890634536743},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5662583708763123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5536728501319885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5243787169456482},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.47145065665245056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46166709065437317},{"id":"https://openalex.org/keywords/leukemia","display_name":"Leukemia","score":0.44913992285728455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38797223567962646},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25514477491378784},{"id":"https://openalex.org/keywords/immunology","display_name":"Immunology","score":0.16781103610992432}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7530547380447388},{"id":"https://openalex.org/C2777938653","wikidata":"https://www.wikidata.org/wiki/Q1088156","display_name":"Chronic lymphocytic leukemia","level":3,"score":0.7205691337585449},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.672347903251648},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6452890634536743},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5662583708763123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536728501319885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5243787169456482},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.47145065665245056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46166709065437317},{"id":"https://openalex.org/C2778461978","wikidata":"https://www.wikidata.org/wiki/Q29496","display_name":"Leukemia","level":2,"score":0.44913992285728455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38797223567962646},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25514477491378784},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.16781103610992432}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/healthcom.2013.6720751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/healthcom.2013.6720751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6899999976158142,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1512098439","https://openalex.org/W1576520375","https://openalex.org/W1998859494","https://openalex.org/W2006536226","https://openalex.org/W2017848739","https://openalex.org/W2024723841","https://openalex.org/W2116511687","https://openalex.org/W2127407318","https://openalex.org/W2133059825","https://openalex.org/W2147260542","https://openalex.org/W2147364566","https://openalex.org/W2158388185","https://openalex.org/W4244996583","https://openalex.org/W6630527977","https://openalex.org/W6634442568","https://openalex.org/W6678858045","https://openalex.org/W6683372824"],"related_works":["https://openalex.org/W579273576","https://openalex.org/W2418031697","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W80586315"],"abstract_inverted_index":{"Chronic":[0],"lymphocytic":[1],"leukemia":[2],"(CLL)":[3],"is":[4,24],"the":[5,74,83],"most":[6],"common":[7],"type":[8],"of":[9,46],"blood":[10],"cancer":[11],"in":[12,22,52,106],"Canadian":[13],"adults.":[14],"The":[15,71,122,136],"relative":[16],"5-year":[17],"survival":[18],"rates":[19],"for":[20,39,112,119,128,133],"CLL":[21,26],"Canada":[23],"decreasing.":[25],"cell":[27,60,134],"morphology":[28],"maybe":[29],"similar":[30],"to":[31,82],"normal":[32],"lymphocytes":[33,78],"and":[34,67,89,104,116,131],"require":[35],"a":[36,43],"hematopathologist":[37],"examination":[38],"diagnosis.":[40],"There":[41],"are":[42,79,92,110],"low":[44],"number":[45],"related":[47],"works":[48],"on":[49,57],"image":[50],"analysis":[51],"CLL.":[53],"This":[54],"paper":[55,97],"focuses":[56],"lymphocyte":[58,101],"color":[59],"segmentation":[61,113],"using":[62],"Support":[63],"Vector":[64],"Machine":[65],"(SVM)":[66],"k-means":[68],"clustering":[69],"algorithms.":[70],"algorithm":[72,123],"overcomes":[73],"occlusion":[75],"problem":[76],"when":[77],"tightly":[80],"bound":[81],"surrounding":[84],"Red":[85],"Blood":[86],"Cells.":[87],"Over":[88],"under-segmentation":[90],"problems":[91],"significantly":[93],"reduced.":[94],"In":[95],"this":[96],"we":[98],"used":[99,111],"440":[100],"images":[102,109,118],"(normal":[103],"CLL),":[105],"which":[107],"140":[108],"accuracy":[114,127,145],"measurement":[115],"12":[117],"SVM":[120],"training.":[121],"obtained":[124],"98.43%":[125],"maximum":[126,144],"nucleus":[129],"segmentation,":[130],"98.69%":[132],"segmentation.":[135],"cytoplasm":[137],"region":[138],"can":[139],"be":[140],"extracted":[141],"by":[142],"99.85%":[143],"with":[146],"simple":[147],"mask":[148],"subtraction.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
