{"id":"https://openalex.org/W2056957096","doi":"https://doi.org/10.1117/12.2081034","title":"Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment","display_name":"Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment","publication_year":2015,"publication_date":"2015-03-20","ids":{"openalex":"https://openalex.org/W2056957096","doi":"https://doi.org/10.1117/12.2081034","mag":"2056957096"},"language":"en","primary_location":{"id":"doi:10.1117/12.2081034","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2081034","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"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/A5071542775","display_name":"Maxine Tan","orcid":"https://orcid.org/0000-0001-5071-2477"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maxine Tan","raw_affiliation_strings":["The University of Oklahoma (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065866225","display_name":"Joseph K. Leader","orcid":"https://orcid.org/0000-0002-9612-6884"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph K. Leader","raw_affiliation_strings":["University of Pittsburgh, United States#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, United States#TAB#","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410286","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-0896-8409"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["The University of Oklahoma (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045998635","display_name":"Bin Zheng","orcid":"https://orcid.org/0000-0002-7682-6648"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Zheng","raw_affiliation_strings":["The University of Oklahoma (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0482745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9414","issue":null,"first_page":"941416","last_page":"941416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9991999864578247,"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":0.9991999864578247,"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/T10556","display_name":"Global Cancer Incidence and Screening","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/digital-mammography","display_name":"Digital mammography","score":0.7497367858886719},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.724429190158844},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6544086933135986},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6370559334754944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5635855793952942},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.536463737487793},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.455477237701416},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.4499196410179138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4492017328739166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4374319911003113},{"id":"https://openalex.org/keywords/risk-factor","display_name":"Risk factor","score":0.43246033787727356},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2864949107170105},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.11900559067726135},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1158890426158905}],"concepts":[{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.7497367858886719},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.724429190158844},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6544086933135986},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6370559334754944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5635855793952942},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.536463737487793},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.455477237701416},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.4499196410179138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4492017328739166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4374319911003113},{"id":"https://openalex.org/C50440223","wikidata":"https://www.wikidata.org/wiki/Q1475848","display_name":"Risk factor","level":2,"score":0.43246033787727356},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2864949107170105},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.11900559067726135},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1158890426158905},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2081034","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2081034","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8399999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1964901833","https://openalex.org/W2014915963","https://openalex.org/W2023047363","https://openalex.org/W2044465660","https://openalex.org/W2080853599","https://openalex.org/W2095323310","https://openalex.org/W2095697356","https://openalex.org/W2123161028","https://openalex.org/W2129017343","https://openalex.org/W2131062842","https://openalex.org/W2133094542","https://openalex.org/W2143684265","https://openalex.org/W2144854846","https://openalex.org/W2144929691","https://openalex.org/W2147108195","https://openalex.org/W4254787950","https://openalex.org/W6681104860"],"related_works":["https://openalex.org/W2557931800","https://openalex.org/W2116047071","https://openalex.org/W54977395","https://openalex.org/W1993531705","https://openalex.org/W3197491245","https://openalex.org/W1966034269","https://openalex.org/W2000845075","https://openalex.org/W1766776469","https://openalex.org/W2029515485","https://openalex.org/W1990413141"],"abstract_inverted_index":{"We":[0,25,119],"recently":[1,101],"investigated":[2],"a":[3,18,21,70,152,197,227,248],"new":[4],"mammographic":[5,23,38,123,173,231],"image":[6,39,78,232],"feature":[7,40,148,161,166,233],"based":[8,41,127],"risk":[9,16,35,42,133,238],"factor":[10,43],"to":[11,65,98,164],"predict":[12],"near-term":[13,246],"breast":[14,141,242],"cancer":[15,243],"after":[17,247],"woman":[19],"has":[20],"negative":[22,53,249],"screening.":[24,250],"hypothesized":[26],"that":[27,203],"unlike":[28],"the":[29,37,48,52,94,190,204,216,245],"conventional":[30],"epidemiology-based":[31],"long-term":[32],"(or":[33],"lifetime)":[34],"factors,":[36],"value":[44],"will":[45],"increase":[46],"as":[47],"time":[49],"lag":[50],"between":[51],"and":[54,72,96,110,125,129,139,154,212,219,235],"positive":[55],"mammography":[56,76],"screening":[57],"decreases.":[58],"The":[59,168,186,200],"purpose":[60],"of":[61,189,230,240],"this":[62,67,146],"study":[63],"is":[64],"test":[66],"hypothesis.":[68],"From":[69],"large":[71],"diverse":[73],"full-field":[74],"digital":[75],"(FFDM)":[77],"database":[79],"with":[80,196],"1278":[81],"cases,":[82],"we":[83,150],"collected":[84],"all":[85],"available":[86],"sequential":[87,198],"FFDM":[88,222],"examinations":[89,106],"for":[90,214],"each":[91],"case":[92],"including":[93],"\u201ccurrent\u201d":[95,111],"1":[97],"3":[99],"most":[100],"\u201cprior\u201d":[102,105,221],"examinations.":[103],"All":[104],"were":[107,113,175,193,209],"interpreted":[108],"negative,":[109],"ones":[112],"either":[114],"malignant":[115],"or":[116],"recalled":[117],"negative/benign.":[118],"computed":[120,170],"92":[121],"global":[122],"texture":[124],"density":[126,142],"features,":[128],"included":[130],"three":[131],"clinical":[132],"factors":[134],"(woman\u2019s":[135],"age,":[136],"family":[137],"history":[138],"subjective":[140],"BIRADS":[143],"ratings).":[144],"On":[145],"initial":[147],"set,":[149],"applied":[151],"fast":[153],"accurate":[155],"Sequential":[156],"Forward":[157],"Floating":[158],"Selection":[159],"(SFFS)":[160],"selection":[162],"algorithm":[163],"reduce":[165],"dimensionality.":[167],"features":[169],"on":[171],"both":[172],"views":[174],"individually/":[176],"separately":[177],"trained":[178],"using":[179,215],"two":[180,191],"artificial":[181],"neural":[182],"network":[183],"(ANN)":[184],"classifiers.":[185],"classification":[187],"scores":[188],"ANNs":[192],"then":[194],"merged":[195],"ANN.":[199],"results":[201],"show":[202],"maximum":[205],"adjusted":[206],"odds":[207],"ratios":[208],"5.59,":[210],"7.98,":[211],"15.77":[213],"3rd,":[217],"2nd,":[218],"1st":[220],"examinations,":[223],"respectively,":[224],"which":[225],"demonstrates":[226],"higher":[228],"association":[229],"change":[234],"an":[236],"increasing":[237],"trend":[239],"developing":[241],"in":[244]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
