{"id":"https://openalex.org/W1481858740","doi":"https://doi.org/10.1007/0-387-34224-9_85","title":"Wavelet-based Feature Analysis for Classification of Breast Masses from Normal Dense Tissue","display_name":"Wavelet-based Feature Analysis for Classification of Breast Masses from Normal Dense Tissue","publication_year":2006,"publication_date":"2006-08-25","ids":{"openalex":"https://openalex.org/W1481858740","doi":"https://doi.org/10.1007/0-387-34224-9_85","mag":"1481858740"},"language":"en","primary_location":{"id":"doi:10.1007/0-387-34224-9_85","is_oa":true,"landing_page_url":"https://doi.org/10.1007/0-387-34224-9_85","pdf_url":"https://link.springer.com/content/pdf/10.1007/0-387-34224-9_85.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_85.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006287586","display_name":"Filippos Sakellaropoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Filippos Sakellaropoulos","raw_affiliation_strings":["Department of Medical Physics, School of Medicine, University of Patras, 265 00, Patras, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Medical Physics, School of Medicine, University of Patras, 265 00, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006851041","display_name":"Spyros Skiadopoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Spyros Skiadopoulos","raw_affiliation_strings":["Department of Medical Physics, School of Medicine, University of Patras, 265 00, Patras, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Medical Physics, School of Medicine, University of Patras, 265 00, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076303709","display_name":"Anna Karahaliou","orcid":null},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anna Karahaliou","raw_affiliation_strings":["Department of Medical Physics, School of Medicine, University of Patras, 265 00, Patras, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Medical Physics, School of Medicine, University of Patras, 265 00, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002583185","display_name":"George Panayiotakis","orcid":"https://orcid.org/0000-0002-4802-666X"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Panayiotakis","raw_affiliation_strings":["Department of Medical Physics, School of Medicine, University of Patras, 265 00, Patras, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Medical Physics, School of Medicine, University of Patras, 265 00, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023540625","display_name":"Lena Costaridou","orcid":"https://orcid.org/0000-0001-9567-9818"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Lena Costaridou","raw_affiliation_strings":["Department of Medical Physics, School of Medicine, University of Patras, 265 00, Patras, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Medical Physics, School of Medicine, University of Patras, 265 00, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006287586"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05251901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"722","last_page":"729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9921000003814697,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.991599977016449,"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/wavelet","display_name":"Wavelet","score":0.6900993585586548},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6110807657241821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5670524835586548},{"id":"https://openalex.org/keywords/breast-tissue","display_name":"Breast tissue","score":0.5440314412117004},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5118040442466736},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4714154899120331},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.354261577129364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3336518406867981},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2544413208961487},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.13309863209724426},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12282669544219971}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6900993585586548},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6110807657241821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5670524835586548},{"id":"https://openalex.org/C3020109028","wikidata":"https://www.wikidata.org/wiki/Q9103","display_name":"Breast tissue","level":4,"score":0.5440314412117004},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5118040442466736},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4714154899120331},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.354261577129364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3336518406867981},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2544413208961487},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.13309863209724426},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12282669544219971},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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":[],"locations_count":1,"locations":[{"id":"doi:10.1007/0-387-34224-9_85","is_oa":true,"landing_page_url":"https://doi.org/10.1007/0-387-34224-9_85","pdf_url":"https://link.springer.com/content/pdf/10.1007/0-387-34224-9_85.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"}],"best_oa_location":{"id":"doi:10.1007/0-387-34224-9_85","is_oa":true,"landing_page_url":"https://doi.org/10.1007/0-387-34224-9_85","pdf_url":"https://link.springer.com/content/pdf/10.1007/0-387-34224-9_85.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":"Life in Land","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G3998201246","display_name":null,"funder_award_id":"Social","funder_id":"https://openalex.org/F4320338080","funder_display_name":"European Social Fund"}],"funders":[{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1481858740.pdf","grobid_xml":"https://content.openalex.org/works/W1481858740.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W177004468","https://openalex.org/W561791173","https://openalex.org/W1550394725","https://openalex.org/W1971967553","https://openalex.org/W1972311232","https://openalex.org/W1988971693","https://openalex.org/W2014408515","https://openalex.org/W2015802872","https://openalex.org/W2019245842","https://openalex.org/W2051798922","https://openalex.org/W2053495009","https://openalex.org/W2059972525","https://openalex.org/W2061187902","https://openalex.org/W2076069245","https://openalex.org/W2103233037","https://openalex.org/W2143585916","https://openalex.org/W2147535659","https://openalex.org/W2147825873","https://openalex.org/W2157355410","https://openalex.org/W2168978326","https://openalex.org/W2501529132","https://openalex.org/W2516093597","https://openalex.org/W6628188252"],"related_works":["https://openalex.org/W2970784617","https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W4385649027","https://openalex.org/W2784060934","https://openalex.org/W2217963778","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2129882004","https://openalex.org/W4303685026"],"abstract_inverted_index":{"Automated":[0],"detection":[1],"of":[2,11,17,25,33,46,49,66],"masses":[3,54,57,102,113,127],"on":[4,40,71],"mammograms":[5],"is":[6,118],"challenged":[7],"by":[8,84],"the":[9,23,80,85,96,121,135],"presence":[10],"dense":[12,38,61,105,116,130],"breast":[13],"parenchyma.":[14],"The":[15,42,107],"aim":[16],"this":[18],"study":[19],"was":[20,92],"to":[21,94],"investigate":[22],"feasibility":[24],"using":[26],"wavelet-based":[27],"feature":[28],"analysis":[29,91],"for":[30,100],"differentiating":[31,101,111,125],"masses,":[32],"varying":[34],"sizes,":[35],"from":[36,79,103,114,128],"normal":[37,60,104,115,129],"tissue":[39,62,117],"mammograms.":[41],"dataset":[43],"analyzed":[44],"consists":[45],"166":[47],"regions":[48],"interest":[50],"(ROIs)":[51],"containing":[52],"spiculated":[53,126],"(60),":[55],"circumscribed":[56,112],"(40)":[58],"and":[59,74,139],"(66).":[63],"A":[64],"set":[65],"ten":[67],"multiscale":[68,98],"features,":[69],"based":[70],"intensity,":[72],"texture":[73],"edge":[75],"variations,":[76],"were":[77],"extracted":[78],"ROIs":[81],"subimages":[82],"provided":[83],"overcomplete":[86],"wavelet":[87],"transform.":[88],"Logistic":[89],"regression":[90],"employed":[93],"determine":[95],"optimal":[97],"features":[99],"tissue.":[106],"classification":[108],"accuracy":[109,123],"in":[110,124],"comparable":[119],"with":[120],"corresponding":[122],"tissue,":[131],"achieving":[132],"areas":[133],"under":[134],"ROC":[136],"curve":[137],"0.895":[138],"0.875,":[140],"respectively.":[141]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
