{"id":"https://openalex.org/W2807376362","doi":"https://doi.org/10.1109/isbi.2018.8363697","title":"Information theory optimization based feature selection in breast mammography lesion classification","display_name":"Information theory optimization based feature selection in breast mammography lesion classification","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2807376362","doi":"https://doi.org/10.1109/isbi.2018.8363697","mag":"2807376362"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","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/A5040564858","display_name":"Johanna Uthoff","orcid":"https://orcid.org/0000-0002-3293-5332"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Johanna Uthoff","raw_affiliation_strings":["Department of Radiology, University of Iowa, Iowa City, Iowa, United States"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Iowa, Iowa City, Iowa, United States","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026306257","display_name":"Jessica C. Sieren","orcid":"https://orcid.org/0000-0002-1109-7886"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica C. Sieren","raw_affiliation_strings":["Department of Radiology, University of Iowa, Iowa City, Iowa, United States"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Iowa, Iowa City, Iowa, United States","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040564858"],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":1.1401,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83498138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"817","last_page":"821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9984999895095825,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9423999786376953,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7578113675117493},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.7437602281570435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7302874326705933},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.648709774017334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6276501417160034},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5811623930931091},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5114759206771851},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4956291913986206},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46841850876808167},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.4643111228942871},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4434208273887634},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.2550126910209656},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09170398116111755}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7578113675117493},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.7437602281570435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7302874326705933},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.648709774017334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6276501417160034},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5811623930931091},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5114759206771851},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4956291913986206},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46841850876808167},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.4643111228942871},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4434208273887634},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.2550126910209656},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09170398116111755},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2018.8363697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1000930111","https://openalex.org/W1966566478","https://openalex.org/W1979577627","https://openalex.org/W1998960726","https://openalex.org/W2003304826","https://openalex.org/W2008428440","https://openalex.org/W2009767800","https://openalex.org/W2016599848","https://openalex.org/W2019090719","https://openalex.org/W2076045951","https://openalex.org/W2083927153","https://openalex.org/W2107167693","https://openalex.org/W2115113482","https://openalex.org/W2139708568","https://openalex.org/W2144762229","https://openalex.org/W2157767900","https://openalex.org/W2219446152","https://openalex.org/W2521782317","https://openalex.org/W2540115786","https://openalex.org/W2570618306","https://openalex.org/W2734402721","https://openalex.org/W2741332867","https://openalex.org/W2753326822","https://openalex.org/W6740447143"],"related_works":["https://openalex.org/W1514924336","https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2002967116","https://openalex.org/W1978794434","https://openalex.org/W3190666406","https://openalex.org/W4311196528","https://openalex.org/W2338709101","https://openalex.org/W2101163260","https://openalex.org/W3134990726"],"abstract_inverted_index":{"Quantitative":[0],"imaging":[1],"features":[2,32,65],"of":[3,63,99,102,105,109],"intensity,":[4],"texture,":[5],"and":[6,13,38,85,107,115],"shape":[7],"were":[8],"extracted":[9],"from":[10,76],"breast":[11],"lesions":[12],"surrounding":[14],"tissue":[15],"in":[16],"287":[17],"mammograms":[18],"(150":[19],"malignant,":[20],"137":[21],"benign).":[22],"A":[23,42],"feature":[24,44,55,79],"set":[25,56,68,80],"reduction":[26],"method":[27,46],"to":[28],"remove":[29],"highly":[30],"intra-correlated":[31],"was":[33,50,74],"devised":[34],"using":[35,47,81],"k-medoids":[36],"clustering":[37],"k-fold":[39],"cross":[40],"validation.":[41],"novel":[43],"selection":[45],"information":[48],"theory":[49],"introduced":[51],"which":[52],"builds":[53],"a":[54,61,96,118],"for":[57],"classification":[58],"by":[59],"determining":[60],"group":[62],"class-informative":[64],"with":[66,112],"low":[67],"co-information.":[69],"An":[70],"artificial":[71],"neural":[72],"network":[73],"built":[75],"the":[77,86],"selected":[78],"10-hidden":[82],"layer":[83],"nodes":[84],"tanh":[87],"activation":[88],"function.":[89],"The":[90],"resulting":[91],"computer-aided":[92],"diagnosis":[93],"tool":[94],"achieved":[95],"training":[97],"accuracy":[98],"96.2%,":[100],"sensitivity":[101,114],"97.6%,":[103],"specificity":[104,117],"95.2%,":[106],"area-under-the-curve":[108],"0.971":[110],"along":[111],"97.1%":[113],"94.9%":[116],"blinded":[119],"validation":[120],"set.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
