{"id":"https://openalex.org/W4400976286","doi":"https://doi.org/10.1109/accai61061.2024.10601727","title":"Experimental Evaluation in Identification of Kidney Cancer using Modified Learning Scheme","display_name":"Experimental Evaluation in Identification of Kidney Cancer using Modified Learning Scheme","publication_year":2024,"publication_date":"2024-05-09","ids":{"openalex":"https://openalex.org/W4400976286","doi":"https://doi.org/10.1109/accai61061.2024.10601727"},"language":"en","primary_location":{"id":"doi:10.1109/accai61061.2024.10601727","doi":"https://doi.org/10.1109/accai61061.2024.10601727","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/accai61061.2024.10601727","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":null,"display_name":"S. Niranjana","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Niranjana","raw_affiliation_strings":["Rajalakshmi Institute of Technology,Department of Artificial Intelligence & Data Science,Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rajalakshmi Institute of Technology,Department of Artificial Intelligence & Data Science,Chennai","institution_ids":[]}]},{"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/A5083590506","display_name":"S Venkat","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S Venkat","raw_affiliation_strings":["S.A. Engineering College,Department of ECE,Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S.A. Engineering College,Department of ECE,Chennai","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016360036","display_name":"Dhandapani Arulanantham","orcid":"https://orcid.org/0000-0002-5482-748X","observed_orcids":["https://orcid.org/0000-0002-5482-748X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Arulanantham","raw_affiliation_strings":["Builders Engineering College,Department of ECE,Nathakadaiyur, Kangeyam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Builders Engineering College,Department of ECE,Nathakadaiyur, Kangeyam","institution_ids":[]}]},{"author_position":"last","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,Department of Electronics and Communication Engineering,Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"R.M.D. Engineering College,Department of Electronics and Communication Engineering,Chennai","institution_ids":["https://openalex.org/I4387154816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3054,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50447172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"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/T10862","display_name":"AI in cancer detection","score":0.9535999894142151,"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":0.9535999894142151,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.04089999943971634,"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/T10449","display_name":"Renal cell carcinoma treatment","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kidney-cancer","display_name":"kidney cancer","score":0.8519999980926514},{"id":"https://openalex.org/keywords/contrast-enhanced-computed-tomography","display_name":"contrast-enhanced CT","score":0.8259999752044678},{"id":"https://openalex.org/keywords/partial-nephrectomy","display_name":"partial nephrectomy","score":0.6320000290870667},{"id":"https://openalex.org/keywords/convolutional-neural-network-comparison","display_name":"convolutional neural network comparison","score":0.781000018119812}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7259475588798523},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6841074228286743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6319476962089539},{"id":"https://openalex.org/C2781068499","wikidata":"https://www.wikidata.org/wiki/Q3242950","display_name":"Kidney cancer","level":3,"score":0.5172115564346313},{"id":"https://openalex.org/C2778922385","wikidata":"https://www.wikidata.org/wiki/Q3475620","display_name":"Identification scheme","level":3,"score":0.4732899069786072},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.44716158509254456},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39935678243637085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38191449642181396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19156509637832642},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17933356761932373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14665335416793823},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07549619674682617},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06546032428741455},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/accai61061.2024.10601727","doi":"https://doi.org/10.1109/accai61061.2024.10601727","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/accai61061.2024.10601727","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":0.9476000070571899}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W3036814529","https://openalex.org/W4225158868","https://openalex.org/W4283075503","https://openalex.org/W4292534679","https://openalex.org/W4303980394","https://openalex.org/W4308844583","https://openalex.org/W4309855372","https://openalex.org/W4312489483","https://openalex.org/W4362696912","https://openalex.org/W4380997873","https://openalex.org/W4386377346","https://openalex.org/W4387695976"],"related_works":["https://openalex.org/W4380997873","https://openalex.org/W4404245937","https://openalex.org/W3092014565","https://openalex.org/W2996840670","https://openalex.org/W4407639658","https://openalex.org/W7133543204","https://openalex.org/W7220598981","https://openalex.org/W3015790131","https://openalex.org/W6885133401","https://openalex.org/W4384075966"],"abstract_inverted_index":{"The":[0,41],"most":[1,98],"critical":[2],"part":[3,138,198],"of":[4,34,43,55,79,89,96,101,112,123,131,139,181,196,199,208],"dealing":[5],"with":[6,92,143,236],"kidney":[7,56,107,144,160,187,201],"cancer":[8,102,114],"is":[9,106,119,135,202,234],"making":[10],"a":[11,62,121,132,186,213],"diagnosis,":[12,133],"which":[13,134],"necessitates":[14],"pinpoint":[15],"accuracy":[16,130],"in":[17,68,103,166,189,192],"identifying":[18],"tumour":[19,23,26],"locations":[20],"and":[21,28,53,82,116],"categorizing":[22],"types.":[24],"Furthermore,":[25],"volume":[27,111],"relative":[29],"severity":[30],"inform":[31],"the":[32,50,77,87,97,104,124,129,153,179,190,200,204,227],"selection":[33],"suitable":[35],"surgical":[36,84],"techniques":[37],"for":[38,49,141,162,178,219],"malignant":[39,163],"situations.":[40],"use":[42],"contrast-enhanced":[44],"computed":[45],"tomography":[46],"(CT)":[47],"images":[48],"localization,":[51],"quantification,":[52],"stratification":[54],"tumours":[57],"has":[58,74],"been":[59],"suggested":[60],"as":[61],"strategy":[63],"based":[64],"on":[65,176],"machine":[66],"learning":[67,215,240],"recent":[69],"years.":[70],"Nevertheless,":[71],"prior":[72],"research":[73],"mainly":[75],"ignored":[76],"possibility":[78],"enhancing":[80],"diagnosis":[81],"guiding":[83],"procedures":[85],"through":[86],"integration":[88],"patient":[90,205],"information":[91],"clinical":[93],"imaging.":[94],"One":[95],"prevalent":[99],"types":[100],"world":[105],"cancer.":[108,145,209],"Size":[109],"or":[110,158,184],"tumour,":[113],"type":[115],"stage,":[117],"etc.":[118],"just":[120,197],"few":[122],"variables":[125],"that":[126],"could":[127],"affect":[128],"an":[136,237],"essential":[137],"caring":[140],"patients":[142],"Clinicians":[146],"frequently":[147],"lack":[148],"convincing":[149],"evidence":[150],"to":[151,155,224],"support":[152],"choice":[154],"perform":[156],"partial":[157],"radical":[159,170],"surgery":[161],"tumours.":[164],"While":[165],"less":[167],"severe":[168],"cases":[169,193],"nephrectomy":[171],"may":[172,206],"unnecessarily":[173],"put":[174],"people":[175],"dialysis":[177],"rest":[180],"their":[182],"lives":[183],"need":[185],"transplant":[188],"future,":[191],"when":[194],"removal":[195],"necessary,":[203],"die":[207],"This":[210],"paper":[211],"introduces":[212],"new":[214],"scheme,":[216],"Learning":[217],"Model":[218],"Kidney":[220],"Cancer":[221],"Detection":[222],"(LMKCD),":[223],"intelligently":[225],"identify":[226],"disease.":[228],"To":[229],"evaluate":[230],"its":[231],"efficiency,":[232],"it":[233],"cross-validated":[235],"existing":[238],"deep":[239],"model,":[241],"Convolutional":[242],"Neural":[243],"Network":[244],"(CNN).":[245]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-07-26T00:00:00"}
