{"id":"https://openalex.org/W4386249991","doi":"https://doi.org/10.1109/icsse58758.2023.10227239","title":"Tensor-based Color Feature Image Extraction for Blood Cell Recognition","display_name":"Tensor-based Color Feature Image Extraction for Blood Cell Recognition","publication_year":2023,"publication_date":"2023-07-27","ids":{"openalex":"https://openalex.org/W4386249991","doi":"https://doi.org/10.1109/icsse58758.2023.10227239"},"language":"en","primary_location":{"id":"doi:10.1109/icsse58758.2023.10227239","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icsse58758.2023.10227239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on System Science and Engineering (ICSSE)","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/A5044232275","display_name":"Ngoc Tuyen Le","orcid":"https://orcid.org/0000-0002-5155-2150"},"institutions":[{"id":"https://openalex.org/I12213908","display_name":"Ming Chi University of Technology","ror":"https://ror.org/04xgh4d03","country_code":"TW","type":"education","lineage":["https://openalex.org/I12213908"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tuyen Ngoc Le","raw_affiliation_strings":["Ming Chi University of Technology,Department of Electronic Engineering,New Taipei,Taiwan","Department of Electronic Engineering, Ming Chi University of Technology, New Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Ming Chi University of Technology,Department of Electronic Engineering,New Taipei,Taiwan","institution_ids":["https://openalex.org/I12213908"]},{"raw_affiliation_string":"Department of Electronic Engineering, Ming Chi University of Technology, New Taipei, Taiwan","institution_ids":["https://openalex.org/I12213908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104162070","display_name":"Anh Quynh Vu","orcid":null},"institutions":[{"id":"https://openalex.org/I138622004","display_name":"National Economics University","ror":"https://ror.org/021xbwv17","country_code":"VN","type":"education","lineage":["https://openalex.org/I138622004"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Anh Quynh Vu","raw_affiliation_strings":["National Economics University,Faculty of Economic Mathematics,Hanoi,Vietnam","Faculty of Economic Mathematics, National Economics University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"National Economics University,Faculty of Economic Mathematics,Hanoi,Vietnam","institution_ids":["https://openalex.org/I138622004"]},{"raw_affiliation_string":"Faculty of Economic Mathematics, National Economics University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I138622004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101238652","display_name":"Hoan Quoc Bui","orcid":null},"institutions":[{"id":"https://openalex.org/I138622004","display_name":"National Economics University","ror":"https://ror.org/021xbwv17","country_code":"VN","type":"education","lineage":["https://openalex.org/I138622004"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Hoan Quoc Bui","raw_affiliation_strings":["National Economics University,Faculty of Economic Mathematics,Hanoi,Vietnam","Faculty of Economic Mathematics, National Economics University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"National Economics University,Faculty of Economic Mathematics,Hanoi,Vietnam","institution_ids":["https://openalex.org/I138622004"]},{"raw_affiliation_string":"Faculty of Economic Mathematics, National Economics University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I138622004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102021620","display_name":"Long Nguyen","orcid":"https://orcid.org/0000-0001-6264-8855"},"institutions":[{"id":"https://openalex.org/I138622004","display_name":"National Economics University","ror":"https://ror.org/021xbwv17","country_code":"VN","type":"education","lineage":["https://openalex.org/I138622004"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Long Tuan Nguyen","raw_affiliation_strings":["National Economics University,Faculty of Economic Mathematics,Hanoi,Vietnam","Faculty of Economic Mathematics, National Economics University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"National Economics University,Faculty of Economic Mathematics,Hanoi,Vietnam","institution_ids":["https://openalex.org/I138622004"]},{"raw_affiliation_string":"Faculty of Economic Mathematics, National Economics University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I138622004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044232275"],"corresponding_institution_ids":["https://openalex.org/I12213908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09935978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"631","last_page":"636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9976999759674072,"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":0.9976999759674072,"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/T10862","display_name":"AI in cancer detection","score":0.9833999872207642,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9758999943733215,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7688318490982056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6828078031539917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6825827956199646},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6762203574180603},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6178511381149292},{"id":"https://openalex.org/keywords/unavailability","display_name":"Unavailability","score":0.5959597229957581},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5341989398002625},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.5338503122329712},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5108625292778015},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.45171573758125305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38139912486076355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37088248133659363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21205687522888184}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7688318490982056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6828078031539917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6825827956199646},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6762203574180603},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6178511381149292},{"id":"https://openalex.org/C2780505938","wikidata":"https://www.wikidata.org/wiki/Q17093282","display_name":"Unavailability","level":2,"score":0.5959597229957581},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5341989398002625},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.5338503122329712},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5108625292778015},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.45171573758125305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38139912486076355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37088248133659363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21205687522888184},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsse58758.2023.10227239","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icsse58758.2023.10227239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on System Science and Engineering (ICSSE)","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":15,"referenced_works":["https://openalex.org/W2024165284","https://openalex.org/W2066215243","https://openalex.org/W2072604406","https://openalex.org/W2080860745","https://openalex.org/W2097117768","https://openalex.org/W2117333179","https://openalex.org/W2194775991","https://openalex.org/W2303542150","https://openalex.org/W2546948708","https://openalex.org/W2617163510","https://openalex.org/W2618530766","https://openalex.org/W2779166865","https://openalex.org/W2888184648","https://openalex.org/W3161200379","https://openalex.org/W4207016125"],"related_works":["https://openalex.org/W2766870359","https://openalex.org/W4292636185","https://openalex.org/W2050785904","https://openalex.org/W89301254","https://openalex.org/W2623954137","https://openalex.org/W2535084101","https://openalex.org/W2136348949","https://openalex.org/W4210544666","https://openalex.org/W4401571858","https://openalex.org/W2962732538"],"abstract_inverted_index":{"Blood":[0],"cell":[1,26,65,76,83,132],"recognition":[2,77,182],"plays":[3],"a":[4,56,72,86,104,178],"huge":[5],"role":[6],"in":[7,67],"medicine.":[8],"Many":[9],"researchers":[10],"have":[11],"recently":[12],"promoted":[13],"the":[14,22,34,42,61,68,80,112,117,127,130,137,140,174,187],"use":[15,192],"of":[16,24,36,63,71,129],"deep":[17,73,163],"learning":[18,164],"models":[19],"to":[20,59,123],"improve":[21],"accuracy":[23,181],"blood":[25,64,75,82,131],"recognition.":[27],"However,":[28],"many":[29],"remain":[30],"challenges,":[31,52],"such":[32],"as":[33,85],"unavailability":[35],"large":[37],"training":[38],"data":[39,196],"sets":[40],"and":[41,46,91,116,158,168],"similarity":[43],"between":[44],"normal":[45],"malignant":[47],"cells.":[48],"To":[49],"overcome":[50],"these":[51],"this":[53],"paper":[54],"proposed":[55,175],"novel":[57],"method":[58],"extract":[60],"feature":[62,128,176],"images":[66,190],"preprocessing":[69],"step":[70],"learning-based":[74],"system.":[78],"First,":[79],"color":[81],"image":[84,138],"third-order":[87],"tensor":[88,96,107,143],"is":[89,108,184],"expressed,":[90],"then":[92],"compute":[93],"its":[94],"core":[95,106,142],"using":[97,160,173,188],"high-order":[98],"singular":[99],"value":[100],"decomposition":[101],"(HOSVD).":[102],"Second,":[103],"new":[105,141],"created":[109],"by":[110,135,144,172],"fixing":[111],"second":[113],"frontal":[114,119],"slice,":[115],"remaining":[118],"slices":[120],"are":[121],"set":[122],"all-zero":[124],"matrices.":[125],"Finally,":[126],"was":[133],"obtained":[134],"reconstructing":[136],"with":[139],"inverting":[145],"HOSVD.":[146],"Experiments":[147],"performed":[148],"on":[149],"two":[150],"most":[151],"famous":[152],"public":[153],"medical":[154],"datasets":[155],"named":[156],"BCCD":[157],"Raabin-WBC":[159],"three":[161],"state-of-art":[162],"models,":[165],"AlexNet,":[166],"GoogLeNet,":[167],"ResNet":[169],"show":[170],"that":[171],"image,":[177],"very":[179],"high":[180],"rate":[183],"obtained,":[185],"higher":[186],"original":[189],"even":[191],"only":[193],"small":[194],"amount":[195],"for":[197],"training.":[198]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}