{"id":"https://openalex.org/W2058073254","doi":"https://doi.org/10.1117/12.535987","title":"Potential improvement of computerized classification for malignant versus benign mammographic microcalcification clusters with the use of special views","display_name":"Potential improvement of computerized classification for malignant versus benign mammographic microcalcification clusters with the use of special views","publication_year":2004,"publication_date":"2004-05-12","ids":{"openalex":"https://openalex.org/W2058073254","doi":"https://doi.org/10.1117/12.535987","mag":"2058073254"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.535987","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","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":"https://openalex.org/A5056409370","display_name":"Sophie Paquerault","orcid":null},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sophie Paquerault","raw_affiliation_strings":["Univ of Chicago (United States)"],"affiliations":[{"raw_affiliation_string":"Univ of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000741582","display_name":"Laura M. Yarusso","orcid":null},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura M. Yarusso","raw_affiliation_strings":["Univ of Chicago (United States)"],"affiliations":[{"raw_affiliation_string":"Univ of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020468113","display_name":"John Papaioannou","orcid":"https://orcid.org/0000-0002-3852-3208"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Papaioannou","raw_affiliation_strings":["Univ of Chicago (United States)"],"affiliations":[{"raw_affiliation_string":"Univ of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":61},"biblio":{"volume":"5370","issue":null,"first_page":"985","last_page":"985"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9985,"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":0.9985,"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":0.9919,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9192,"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/microcalcification","display_name":"Microcalcification","score":0.82373106},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-Aided Diagnosis","score":0.45932978},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41589934}],"concepts":[{"id":"https://openalex.org/C2781129008","wikidata":"https://www.wikidata.org/wiki/Q1933877","display_name":"Microcalcification","level":5,"score":0.82373106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6673499},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6025845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.59762555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.54797816},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.5398142},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.52779764},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.45932978},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45666295},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43482736},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.42307973},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41589934},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2172248},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13919011},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.11726308},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.535987","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.56}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4378191048","https://openalex.org/W3190666406","https://openalex.org/W2378946663","https://openalex.org/W2354834859","https://openalex.org/W2340621660","https://openalex.org/W2328635413","https://openalex.org/W2306216960","https://openalex.org/W2051046354","https://openalex.org/W2031284012","https://openalex.org/W1540588256"],"abstract_inverted_index":{"We":[0,35,167],"are":[1,160],"investigating":[2],"the":[3,38,53,140,149,154,163,169,200,234],"use":[4],"of":[5,42,55,62,94,96,102,145,175,189,221,237,252],"special":[6,46,89,158,214,227,241],"mammographic":[7],"views,":[8,14,215],"i.e.":[9],"magnification":[10],"and":[11,48,88,105,138,157,181,216,226],"spot":[12],"compression":[13],"into":[15],"computerized":[16,250],"classification":[17,61,188,251],"schemes":[18,59],"for":[19,32,60,136,187],"malignant":[20,63,128,180,190],"versus":[21,64,191],"benign":[22,65,192],"microcalcification":[23,66,193,253],"clusters.":[24,67,254],"Radiologists":[25],"often":[26],"recall":[27],"patients":[28,178],"with":[29,74,243],"suspicious":[30],"lesions":[31],"additional":[33],"views.":[34,90,228],"expect":[36],"that":[37,72,233,244],"fusion,":[39],"or":[40,129],"combination,":[41],"information":[43,239],"extracted":[44],"from":[45,148,223,240,245],"views":[47,159,242],"conventional":[49,86,155,210,224,246],"mammograms":[50,87,156,225,247],"will":[51],"improve":[52,249],"performances":[54,186],"computer-aided":[56],"diagnosis":[57],"(CAD)":[58],"It":[68],"has":[69],"been":[70],"shown":[71],"reading":[73],"CAD":[75,80],"improves":[76],"radiologists'":[77],"performances.":[78],"The":[79,91,131,142,184],"scheme":[81,92],"is":[82,117,134],"applied":[83,119,151,168],"separately":[84,152],"to":[85,110,120,123,153,172],"consists":[93],"segmentation":[95],"manually-identified":[97],"microcalcifications,":[98],"followed":[99],"by":[100],"extraction":[101],"microcalcification-based":[103],"geometrical":[104],"textural":[106],"features":[107],"in":[108,196],"addition":[109],"cluster-based":[111],"features.":[112],"Linear":[113],"discriminant":[114],"analysis":[115],"(LDA)":[116],"then":[118],"each":[121],"image":[122],"classify":[124],"a":[125,173],"cluster":[126],"as":[127],"benign.":[130],"leave-one-out":[132],"technique":[133,171,236],"used":[135],"training":[137],"testing":[139],"classifier.":[141],"resulting":[143],"likelihoods":[144,220],"malignancy":[146,222],"output":[147],"LDA":[150],"combined":[161],"using":[162],"maximum":[164],"classifier":[165],"output.":[166],"proposed":[170,235],"database":[174],"75":[176],"biopsy-proven":[177],"(31":[179],"44":[182],"benign).":[183],"case-based":[185],"clusters":[194],"resulted":[195],"an":[197],"area":[198],"under":[199],"receiver":[201],"operating":[202],"characteristic":[203],"(ROC)":[204],"curves,":[205],"Az,":[206],"of:":[207],"0.771":[208],"on":[209,213],"mammograms,":[211],"0.845":[212],"0.908":[217],"when":[218],"merging":[219],"These":[229],"preliminary":[230],"results":[231],"indicate":[232],"combining":[238],"can":[248]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2058073254","counts_by_year":[],"updated_date":"2024-12-10T04:48:26.429417","created_date":"2016-06-24"}