{"id":"https://openalex.org/W4400975411","doi":"https://doi.org/10.1109/accai61061.2024.10601987","title":"ELVCP: A Comprehensive Evaluation of Leukemia Prediction Using Enhanced Learning Based Vector Classification Principle","display_name":"ELVCP: A Comprehensive Evaluation of Leukemia Prediction Using Enhanced Learning Based Vector Classification Principle","publication_year":2024,"publication_date":"2024-05-09","ids":{"openalex":"https://openalex.org/W4400975411","doi":"https://doi.org/10.1109/accai61061.2024.10601987"},"language":"en","primary_location":{"id":"doi:10.1109/accai61061.2024.10601987","doi":"https://doi.org/10.1109/accai61061.2024.10601987","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/accai61061.2024.10601987","pdf_url":null,"source":{"id":"https://openalex.org/S4363608055","display_name":"International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5051850366","display_name":"G Kalyan Kumar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4399657946","display_name":"Rajalakshmi Engineering College","ror":"https://ror.org/01dw2vm55","country_code":"IN","type":"education","lineage":["https://openalex.org/I4399657946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G Kalyan Kumar","raw_affiliation_strings":["Rajalakshmi Institute of Technology,Department of Computer and Communication Engineering,Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rajalakshmi Institute of Technology,Department of Computer and Communication Engineering,Chennai","institution_ids":["https://openalex.org/I4399657946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078466020","display_name":"Anita Titus","orcid":"https://orcid.org/0000-0003-4478-1817","observed_orcids":["https://orcid.org/0000-0003-4478-1817"]},"institutions":[{"id":"https://openalex.org/I4405278269","display_name":"Jeppiaar University","ror":"https://ror.org/05htxty53","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405278269"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anita Titus","raw_affiliation_strings":["Jeppiaar University,Department of Electronics and Communication Engineering,Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jeppiaar University,Department of Electronics and Communication Engineering,Chennai","institution_ids":["https://openalex.org/I4405278269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073955717","display_name":"A. Sumaiya Begum","orcid":"https://orcid.org/0000-0002-7225-9164","observed_orcids":["https://orcid.org/0000-0002-7225-9164"]},"institutions":[{"id":"https://openalex.org/I4387154816","display_name":"R.M.D. Engineering College","ror":"https://ror.org/03gjktv92","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387154816"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Sumaiya Begum","raw_affiliation_strings":["R.M.D. Engineering College, Kavaraipettai,Department of Electronics and Communication Engineering,Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"R.M.D. Engineering College, Kavaraipettai,Department of Electronics and Communication Engineering,Chennai","institution_ids":["https://openalex.org/I4387154816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108813156","display_name":"K. Glory Prasanth","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Glory Prasanth","raw_affiliation_strings":["S.A. Engineering College,Department of Mathematics,Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S.A. Engineering College,Department of Mathematics,Chennai","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069178742","display_name":"Ms. Shalini","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387154592","display_name":"St. Joseph\u2019s College of Engineering","ror":"https://ror.org/01g3pby21","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387154592"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shalini M","raw_affiliation_strings":["St. Joseph\u2019s College of Engineering,Department of Computer Science and Engineering,Chennai,119"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"St. Joseph\u2019s College of Engineering,Department of Computer Science and Engineering,Chennai,119","institution_ids":["https://openalex.org/I4387154592"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","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":0.9990000128746033,"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":0.9990000128746033,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leukemia-classification","display_name":"leukemia classification","score":0.675000011920929},{"id":"https://openalex.org/keywords/acute-lymphoblastic-leukemia","display_name":"acute lymphoblastic leukemia","score":0.9900000095367432},{"id":"https://openalex.org/keywords/white-blood-cell-classification","display_name":"white blood cell classification","score":0.7080000042915344},{"id":"https://openalex.org/keywords/eosinophils","display_name":"eosinophils","score":0.7490000128746033},{"id":"https://openalex.org/keywords/lymphocytes","display_name":"lymphocytes","score":0.9620000123977661},{"id":"https://openalex.org/keywords/monocytes","display_name":"monocytes","score":0.9860000014305115},{"id":"https://openalex.org/keywords/neutrophils","display_name":"neutrophils","score":1.0},{"id":"https://openalex.org/keywords/vector-classification","display_name":"vector classification","score":0.4729999899864197},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.878000020980835},{"id":"https://openalex.org/keywords/blood-cancer-diagnosis","display_name":"blood cancer diagnosis","score":0.5210000276565552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656830906867981},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5694341659545898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5508365035057068},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5281593799591064},{"id":"https://openalex.org/C2778461978","wikidata":"https://www.wikidata.org/wiki/Q29496","display_name":"Leukemia","level":2,"score":0.42115306854248047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3479851186275482},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06338557600975037},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/accai61061.2024.10601987","doi":"https://doi.org/10.1109/accai61061.2024.10601987","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/accai61061.2024.10601987","pdf_url":null,"source":{"id":"https://openalex.org/S4363608055","display_name":"International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9537000060081482}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2576007441","https://openalex.org/W3009515551","https://openalex.org/W3082208210","https://openalex.org/W3111295039","https://openalex.org/W3112921962","https://openalex.org/W3172795996","https://openalex.org/W4206486197","https://openalex.org/W4292055200","https://openalex.org/W4298110294","https://openalex.org/W4312489483","https://openalex.org/W4362612721","https://openalex.org/W4387695976"],"related_works":["https://openalex.org/W4408359098","https://openalex.org/W4379598965","https://openalex.org/W4403024305","https://openalex.org/W3092648986","https://openalex.org/W4396710553","https://openalex.org/W4402187940","https://openalex.org/W4286377357","https://openalex.org/W7160110486","https://openalex.org/W7133519293","https://openalex.org/W4387381390"],"abstract_inverted_index":{"Cancer,":[0],"defined":[1],"as":[2,26,28,32,72,140,154,223,225],"the":[3,9,123,126,129,155,169,243],"uncontrolled":[4],"growth":[5],"of":[6,40,104,125,135,168,179,190,206,230],"cells":[7],"within":[8],"body,":[10],"can":[11],"take":[12],"numerous":[13,37],"forms,":[14],"including":[15,182],"but":[16],"not":[17,115],"limited":[18],"to":[19,65,97,121,211,217,241],"skin":[20],"cancer,":[21,23,25,41],"breast":[22],"lung":[24],"well":[27,224],"blood":[29,99,221],"malignancies":[30],"such":[31,71,139],"leukaemia":[33,44,66],"and":[34,75,81,84,91,107,143,185,187,193,209],"lymphoma.":[35],"Within":[36],"serious":[38],"kinds":[39],"acute":[42],"lymphoblastic":[43],"strikes":[45],"out.":[46],"Blood":[47],"cancer":[48,100],"diagnoses":[49],"are":[50],"notoriously":[51],"time-consuming":[52,92],"because":[53],"haematologists":[54],"often":[55],"make":[56],"mistakes.":[57],"Therefore,":[58],"this":[59],"study":[60],"considers":[61],"a":[62,89,102,166,177,188],"fresh":[63],"approach":[64,152],"classification":[67],"using":[68,101,146],"state-of-the-art":[69],"technologies":[70],"Deep":[73],"Learning":[74,157],"Machine":[76],"Learning.":[77],"Eosinophil,":[78],"lymphocyte,":[79],"monocyte,":[80],"neutrophil":[82],"prediction":[83,245],"analysis":[85],"by":[86],"hand":[87],"is":[88,133,165],"laborious":[90],"process.":[93],"Earlier":[94],"research":[95,131],"attempted":[96],"forecast":[98],"plethora":[103],"deep":[105,149,171],"learning":[106,109,150,172,180,183,194,234],"machine":[108],"methods;":[110],"however,":[111],"these":[112],"efforts":[113],"were":[114],"without":[116],"their":[117],"flaws.":[118],"In":[119],"order":[120],"assess":[122],"efficacy":[124],"suggested":[127],"scheme,":[128],"proposed":[130,170,200],"pipeline":[132],"comprised":[134],"several":[136],"interdependent":[137],"components,":[138],"dataset":[141],"construction":[142],"feature":[144],"extraction":[145],"an":[147,203,227],"advanced":[148],"based":[151,158],"known":[153],"Enhanced":[156],"Vector":[159],"Classification":[160],"Principle":[161],"(ELVCP).":[162],"Image":[163],"processing":[164,216],"strength":[167],"model,":[173],"ELVCP,":[174],"which":[175],"employs":[176],"number":[178,229],"criteria,":[181],"rate":[184],"epochs,":[186],"range":[189,205],"analysis,":[191],"prediction,":[192],"methods":[195,208],"at":[196],"different":[197],"degrees.":[198],"The":[199],"model":[201,240],"used":[202,226],"extensive":[204,228],"performance":[207],"processes":[210],"incorporate":[212],"techniques":[213],"for":[214,232,238],"image":[215],"predict":[218],"cancer-causing":[219],"white":[220],"cells,":[222],"models":[231],"transfer":[233],"with":[235],"various":[236],"parameters":[237],"each":[239],"select":[242],"best":[244],"model.":[246]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-07-26T00:00:00"}