{"id":"https://openalex.org/W2136989581","doi":"https://doi.org/10.1109/embc.2013.6610417","title":"Measure oriented cost-sensitive SVM for 3D nodule detection","display_name":"Measure oriented cost-sensitive SVM for 3D nodule detection","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2136989581","doi":"https://doi.org/10.1109/embc.2013.6610417","mag":"2136989581","pmid":"https://pubmed.ncbi.nlm.nih.gov/24110604"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2013.6610417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6610417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5064264675","display_name":"Peng Cao","orcid":"https://orcid.org/0000-0002-1116-1171"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Cao","raw_affiliation_strings":["Key Lab. of Med. Image Comput. of Minist. of Educ., Northeastern Univ., Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Lab. of Med. Image Comput. of Minist. of Educ., Northeastern Univ., Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049764032","display_name":"Dazhe Zhao","orcid":"https://orcid.org/0000-0001-7749-4414"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazhe Zhao","raw_affiliation_strings":["Northeastern University , Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University , Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053745515","display_name":"Osmar R. Za\u0131\u0308ane","orcid":"https://orcid.org/0000-0002-0060-5988"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Osmar Zaiane","raw_affiliation_strings":["University of Alberta,Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta,Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064264675"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":2.9654,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91983141,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2013","issue":null,"first_page":"3981","last_page":"3984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9891999959945679,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9891999959945679,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9498999714851379,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9300000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7910637855529785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7197542786598206},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7106500267982483},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6236607432365417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6086339950561523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5693450570106506},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5427342653274536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47975954413414},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47670572996139526},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4640834331512451},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06913816928863525}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7910637855529785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7197542786598206},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7106500267982483},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6236607432365417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6086339950561523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5693450570106506},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5427342653274536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47975954413414},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47670572996139526},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4640834331512451},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06913816928863525},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","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}],"mesh":[{"descriptor_ui":"D003951","descriptor_name":"Diagnostic Errors","qualifier_ui":"Q000191","qualifier_name":"economics","is_major_topic":false},{"descriptor_ui":"D003951","descriptor_name":"Diagnostic Errors","qualifier_ui":"Q000191","qualifier_name":"economics","is_major_topic":false},{"descriptor_ui":"D003951","descriptor_name":"Diagnostic Errors","qualifier_ui":"Q000191","qualifier_name":"economics","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000191","qualifier_name":"economics","is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000191","qualifier_name":"economics","is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000191","qualifier_name":"economics","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2013.6610417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6610417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:24110604","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24110604","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.419.7724","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.7724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://webdocs.cs.ualberta.ca/~zaiane/postscript/embc2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1506588750","https://openalex.org/W1521843029","https://openalex.org/W1563938718","https://openalex.org/W1580049798","https://openalex.org/W1588282782","https://openalex.org/W1968009201","https://openalex.org/W2012355247","https://openalex.org/W2015283109","https://openalex.org/W2023522838","https://openalex.org/W2058514166","https://openalex.org/W2071192161","https://openalex.org/W2081423733","https://openalex.org/W2109943925","https://openalex.org/W2112915739","https://openalex.org/W2118978333","https://openalex.org/W2123927174","https://openalex.org/W2128536929","https://openalex.org/W2131391419","https://openalex.org/W2148143831","https://openalex.org/W2152195021","https://openalex.org/W2166249949","https://openalex.org/W2547650818","https://openalex.org/W6630208708","https://openalex.org/W6633571703","https://openalex.org/W6634569365","https://openalex.org/W6670834228","https://openalex.org/W6682141768"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W3209204065","https://openalex.org/W4255837520","https://openalex.org/W2090763504","https://openalex.org/W1755711892","https://openalex.org/W2160907113","https://openalex.org/W2070813941","https://openalex.org/W2105707930"],"abstract_inverted_index":{"The":[0],"class":[1],"imbalance":[2,15],"issue":[3],"occurs":[4],"when":[5],"training":[6],"a":[7,103],"computer-aided":[8],"detection":[9],"(CAD)":[10],"system":[11],"for":[12,20],"nodules.":[13,22],"This":[14],"causes":[16],"poor":[17],"prediction":[18],"performance":[19,80],"true":[21,36],"Moreover,":[23],"the":[24,41,49,63,70,79,86,100,110,129,135],"misclassification":[25,90,139],"costs":[26],"are":[27],"different":[28],"between":[29],"two":[30],"classes":[31],"and":[32,95,137],"high":[33,54],"sensitivity":[34],"of":[35,66,73,81,89,131],"nodules":[37],"is":[38],"essential":[39],"in":[40],"detection.":[42],"In":[43],"order":[44],"to":[45],"eliminate":[46],"or":[47],"reduce":[48],"false":[50],"positives":[51],"while":[52],"keeping":[53],"sensitivity,":[55],"we":[56],"present":[57],"an":[58],"effective":[59],"wrapper":[60],"framework":[61],"incorporating":[62],"evaluation":[64],"measure":[65],"imbalanced":[67,123,136],"data":[68,124,141],"into":[69],"objective":[71],"function":[72],"cost":[74,91,140],"sensitive":[75],"SVM.":[76],"We":[77,98],"improve":[78],"classification":[82],"by":[83],"simultaneously":[84],"optimizing":[85],"best":[87],"pair":[88],"parameter,":[92],"feature":[93],"subset":[94],"intrinsic":[96],"parameters.":[97],"evaluated":[99],"method":[101,112,133],"on":[102,134],"3D":[104],"Lung":[105],"nodule":[106],"dataset,":[107],"showing":[108],"that":[109],"proposed":[111],"outperforms":[113],"many":[114],"other":[115],"exiting":[116],"common":[117],"methods,":[118,126],"as":[119,121],"well":[120],"specific":[122],"learning":[125],"which":[127],"indicates":[128],"effectiveness":[130],"our":[132],"unequal":[138],"classification.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}