{"id":"https://openalex.org/W5535156","doi":"https://doi.org/10.1007/0-387-34224-9_83","title":"Computer Aided Diagnosis of CT Focal Liver Lesions based on Texture Features, Feature Selection and Ensembles of Classifiers","display_name":"Computer Aided Diagnosis of CT Focal Liver Lesions based on Texture Features, Feature Selection and Ensembles of Classifiers","publication_year":2006,"publication_date":"2006-08-25","ids":{"openalex":"https://openalex.org/W5535156","doi":"https://doi.org/10.1007/0-387-34224-9_83","mag":"5535156"},"language":"en","primary_location":{"id":"doi:10.1007/0-387-34224-9_83","is_oa":true,"landing_page_url":"https://doi.org/10.1007/0-387-34224-9_83","pdf_url":"https://link.springer.com/content/pdf/10.1007/0-387-34224-9_83.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP International Federation for Information Processing","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/0-387-34224-9_83.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033248976","display_name":"Stavroula Mougiakakou","orcid":"https://orcid.org/0000-0002-6355-9982"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Stavroula G. Mougiakakou","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografou, Athens, Greece","National Technical University Of Athens"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografou, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"National Technical University Of Athens","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045630754","display_name":"Ioannis Valavanis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis K. Valavanis","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografou, Athens, Greece","National Technical University Of Athens"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografou, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"National Technical University Of Athens","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057532076","display_name":"Alexandra Nikita","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Alexandra Nikita","raw_affiliation_strings":["Medical School, Department of Radiology, University of Athens, 20 Papadiamantopoulou Str., 15228, Athens, Greece","University of Athens"],"affiliations":[{"raw_affiliation_string":"Medical School, Department of Radiology, University of Athens, 20 Papadiamantopoulou Str., 15228, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]},{"raw_affiliation_string":"University of Athens","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082313849","display_name":"Konstantina S. Nikita","orcid":"https://orcid.org/0000-0001-8255-4354"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantina S. Nikita","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografou, Athens, Greece","National Technical University Of Athens"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografou, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"National Technical University Of Athens","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033248976"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":1.2799,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88095238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"705","last_page":"712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9775999784469604,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9733999967575073,"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":0.8095451593399048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7837441563606262},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.7455259561538696},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6246276497840881},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5991315245628357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5979502201080322},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5490411520004272},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.5359222888946533},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.48606279492378235},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4552849233150482},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3481794595718384},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2533707022666931}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8095451593399048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7837441563606262},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.7455259561538696},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6246276497840881},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5991315245628357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5979502201080322},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5490411520004272},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.5359222888946533},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.48606279492378235},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4552849233150482},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3481794595718384},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2533707022666931},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/0-387-34224-9_83","is_oa":true,"landing_page_url":"https://doi.org/10.1007/0-387-34224-9_83","pdf_url":"https://link.springer.com/content/pdf/10.1007/0-387-34224-9_83.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP International Federation for Information Processing","raw_type":"book-chapter"},{"id":"pmh:oai:dspace.lib.ntua.gr:123456789/17117","is_oa":true,"landing_page_url":"http://doi.org/10.1007/0-387-34224-9_83","pdf_url":null,"source":{"id":"https://openalex.org/S4377196837","display_name":"DSpace - NTUA (National Technical University of Athens)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I174458059","host_organization_name":"National Technical University of Athens","host_organization_lineage":["https://openalex.org/I174458059"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IFIP International Federation for Information Processing","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/0-387-34224-9_83","is_oa":true,"landing_page_url":"https://doi.org/10.1007/0-387-34224-9_83","pdf_url":"https://link.springer.com/content/pdf/10.1007/0-387-34224-9_83.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP International Federation for Information Processing","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W5535156.pdf","grobid_xml":"https://content.openalex.org/works/W5535156.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1564419782","https://openalex.org/W2028608149","https://openalex.org/W2044465660","https://openalex.org/W2081314858","https://openalex.org/W2107167693","https://openalex.org/W2117395697","https://openalex.org/W2121302072","https://openalex.org/W2124776405","https://openalex.org/W2151551382","https://openalex.org/W2152150600","https://openalex.org/W2156260858","https://openalex.org/W2162192302","https://openalex.org/W2167003500","https://openalex.org/W2309693750","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W1845209238","https://openalex.org/W2801793565","https://openalex.org/W88722211","https://openalex.org/W2534614934","https://openalex.org/W1971238016","https://openalex.org/W2137567908","https://openalex.org/W4233975745","https://openalex.org/W1518273806","https://openalex.org/W3183089610","https://openalex.org/W2083259201"],"abstract_inverted_index":{"A":[0],"computer":[1],"aided":[2],"diagnosis":[3],"system":[4],"aiming":[5],"to":[6],"classify":[7],"liver":[8],"tissue":[9],"from":[10,101],"computed":[11,55],"tomography":[12],"images":[13],"is":[14],"presented.":[15],"For":[16],"each":[17,47,120],"region":[18],"of":[19,24,32,42,53,69,78,91,104,119,122],"interest":[20],"five":[21,43,75,106],"distinct":[22],"sets":[23,58],"texture":[25,56,107],"features":[26],"were":[27,34],"extracted.":[28],"Two":[29],"different":[30,76],"ensembles":[31],"classifiers":[33,70,90,123],"constructed":[35],"and":[36,83],"compared.":[37],"The":[38,66,88,117],"first":[39],"one":[40,52],"consists":[41],"Neural":[44],"Networks":[45],"(NNs),":[46],"using":[48],"as":[49],"input":[50,97],"either":[51,110],"the":[54,92,102,105],"feature":[57,64,108,115],"or":[59,112],"its":[60],"reduced":[61],"version":[62],"after":[63,113],"selection.":[65,116],"second":[67,93],"ensemble":[68,94,121],"was":[71,124],"generated":[72],"by":[73,126],"combining":[74],"type":[77],"primary":[79,89],"classifiers,":[80],"two":[81],"NNs,":[82],"three":[84],"k-nearest":[85],"neighbor":[86],"classifiers.":[87],"used":[95],"identical":[96],"vectors,":[98],"which":[99],"resulted":[100],"combination":[103],"sets,":[109],"directly":[111],"proper":[114],"decision":[118],"extracted":[125],"applying":[127],"voting":[128],"schemes.":[129]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
