{"id":"https://openalex.org/W4283278345","doi":"https://doi.org/10.1145/3529836.3529844","title":"Research on fine-tuning CNN for cancer diagnosis with gene expression data","display_name":"Research on fine-tuning CNN for cancer diagnosis with gene expression data","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W4283278345","doi":"https://doi.org/10.1145/3529836.3529844"},"language":"en","primary_location":{"id":"doi:10.1145/3529836.3529844","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529836.3529844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://mdsoar.org/bitstreams/42702dd0-822e-4038-bb46-c71001854a58/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100412034","display_name":"Zhen Liu","orcid":"https://orcid.org/0000-0002-1886-6457"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]},{"id":"https://openalex.org/I190242452","display_name":"Guangdong Pharmaceutical University","ror":"https://ror.org/02vg7mz57","country_code":"CN","type":"education","lineage":["https://openalex.org/I190242452"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Liu","raw_affiliation_strings":["School of Medical Information Engineering, Guangdong Pharmaceutical University, China and School of Information Science and Technology, Guangdong University of Foreign Studies, China"],"affiliations":[{"raw_affiliation_string":"School of Medical Information Engineering, Guangdong Pharmaceutical University, China and School of Information Science and Technology, Guangdong University of Foreign Studies, China","institution_ids":["https://openalex.org/I186272606","https://openalex.org/I190242452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653706","display_name":"Ruoyu Wang","orcid":"https://orcid.org/0000-0002-0422-6408"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoyu Wang","raw_affiliation_strings":["Information and Network Engineering Research Center, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Information and Network Engineering Research Center, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101565243","display_name":"Jin Yang","orcid":"https://orcid.org/0009-0006-2290-3632"},"institutions":[{"id":"https://openalex.org/I190242452","display_name":"Guangdong Pharmaceutical University","ror":"https://ror.org/02vg7mz57","country_code":"CN","type":"education","lineage":["https://openalex.org/I190242452"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Yang","raw_affiliation_strings":["School of Medical Information Engineering, Guangdong Pharmaceutical University, China"],"affiliations":[{"raw_affiliation_string":"School of Medical Information Engineering, Guangdong Pharmaceutical University, China","institution_ids":["https://openalex.org/I190242452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100710814","display_name":"Wenbin Zhang","orcid":"https://orcid.org/0000-0003-3024-5415"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenbin Zhang","raw_affiliation_strings":["information systems, University of Maryland, USA"],"affiliations":[{"raw_affiliation_string":"information systems, University of Maryland, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100412034"],"corresponding_institution_ids":["https://openalex.org/I186272606","https://openalex.org/I190242452"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06044006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"140","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.9929999709129333,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9812999963760376,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7241482734680176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6967939138412476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5644161701202393},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.5383108854293823},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.505233108997345},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49910593032836914},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4910163879394531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48971202969551086},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47428399324417114},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"Fine-tuning","score":0.4472092092037201},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4419037401676178},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09413325786590576}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7241482734680176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6967939138412476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5644161701202393},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.5383108854293823},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.505233108997345},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49910593032836914},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4910163879394531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48971202969551086},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47428399324417114},{"id":"https://openalex.org/C157524613","wikidata":"https://www.wikidata.org/wiki/Q2828883","display_name":"Fine-tuning","level":2,"score":0.4472092092037201},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4419037401676178},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09413325786590576},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3529836.3529844","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529836.3529844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","raw_type":"proceedings-article"},{"id":"pmh:oai:mdsoar.org:11603/26951","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/26951","pdf_url":"https://mdsoar.org/bitstreams/42702dd0-822e-4038-bb46-c71001854a58/download","source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.13016/m2o2as-bluy","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2o2as-bluy","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:mdsoar.org:11603/26951","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/26951","pdf_url":"https://mdsoar.org/bitstreams/42702dd0-822e-4038-bb46-c71001854a58/download","source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1705982060","display_name":null,"funder_award_id":"2017A03","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G1997247351","display_name":null,"funder_award_id":"2020ZDZX3060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2093106426","display_name":null,"funder_award_id":"2017A030313345","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G2800219896","display_name":null,"funder_award_id":"61976239","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G319046839","display_name":null,"funder_award_id":"2017A030313","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4132985236","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G4187941920","display_name":null,"funder_award_id":"51501078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6107177493","display_name":null,"funder_award_id":"5150107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6968067436","display_name":null,"funder_award_id":"2017A03","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7083260906","display_name":null,"funder_award_id":"2017A030313","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7484783227","display_name":null,"funder_award_id":"61501128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8589651859","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G8628469106","display_name":null,"funder_award_id":"2020A1515010783","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283278345.pdf","grobid_xml":"https://content.openalex.org/works/W4283278345.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2108728387","https://openalex.org/W2795688948","https://openalex.org/W2891288832","https://openalex.org/W2899823062","https://openalex.org/W2907803369","https://openalex.org/W2915414988","https://openalex.org/W3014321973","https://openalex.org/W3022818205","https://openalex.org/W3108380528","https://openalex.org/W4231805003"],"related_works":["https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W2352041579","https://openalex.org/W1488006380","https://openalex.org/W2138381686","https://openalex.org/W2141585124","https://openalex.org/W1998176685","https://openalex.org/W3185156046","https://openalex.org/W3216119459"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"have":[3],"been":[4],"used":[5,56,74,98,111],"for":[6,64,75,99,112],"cancer":[7,65,72,90,103,140,159,177],"type":[8,66,141,147,160,165,178,184],"prediction":[9],"with":[10,70,83,126,171],"gene":[11,27],"expression":[12,28],"data.":[13,29],"However,":[14],"its":[15],"success":[16],"is":[17,55,73,81,110],"impeded":[18],"by":[19],"the":[20,37,40,43,48,59,84,93,101,106,114,173,180],"lack":[21],"of":[22,42,61,87,139,145,158,163,176,182],"large":[23],"labeled":[24],"datasets":[25,125],"in":[26],"The":[30,68,79,123,131],"class":[31,115],"imbalance":[32,116],"problem":[33],"leads":[34],"to":[35,57],"that":[36],"model":[38,63,95],"ignores":[39],"performance":[41],"minority":[44],"class.":[45],"To":[46],"handle":[47],"small":[49],"sample":[50],"size":[51],"problem,":[52],"fine-tuning":[53],"CNN":[54,170],"transfer":[58],"knowledge":[60],"pre-trained":[62],"predicting.":[67],"dataset":[69],"one":[71,181],"training":[76,85],"a":[77,88],"model.":[78],"pre-model":[80],"fine-tuned":[82,94,132,151,169],"set":[86],"new":[89,102],"type,":[91],"and":[92,128,142,150,161,179,191],"could":[96],"be":[97],"identifying":[100],"type.":[104],"And":[105],"SMOTE":[107],"resampling":[108],"method":[109],"handling":[113],"problem.":[117],"We":[118],"carried":[119],"out":[120],"experiments":[121],"on":[122,148,166,193],"TCGA":[124],"1D-CNN":[127,133],"2D-CNN":[129,152],"models.":[130],"obtains":[134,153],"97.5%":[135],"accuracy,":[136,155,174],"98.6%":[137],"Fscore":[138,144,157,175],"78.1%":[143],"normal":[146,164,183],"average,":[149],"97.4%":[154],"98.5%":[156],"77.4%":[162],"average.":[167,194],"Using":[168],"SMOTE,":[172],"are":[185],"respectively":[186],"increased":[187],"about":[188],"1.5%,":[189],"0.5%":[190],"21.5%":[192]},"counts_by_year":[],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
