{"id":"https://openalex.org/W2013170676","doi":"https://doi.org/10.1145/2811411.2811505","title":"Variability measurement for breast cancer classification of mammographic masses","display_name":"Variability measurement for breast cancer classification of mammographic masses","publication_year":2015,"publication_date":"2015-10-09","ids":{"openalex":"https://openalex.org/W2013170676","doi":"https://doi.org/10.1145/2811411.2811505","mag":"2013170676"},"language":"en","primary_location":{"id":"doi:10.1145/2811411.2811505","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2811411.2811505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on research in adaptive and convergent systems","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/A5043545079","display_name":"Sailesh Gc","orcid":null},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sailesh Gc","raw_affiliation_strings":["South Dakota State University, Brookings, SD"],"affiliations":[{"raw_affiliation_string":"South Dakota State University, Brookings, SD","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048001921","display_name":"Ravi Kasaudhan","orcid":null},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Kasaudhan","raw_affiliation_strings":["South Dakota State University, Brookings, SD"],"affiliations":[{"raw_affiliation_string":"South Dakota State University, Brookings, SD","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052424598","display_name":"Tae K. Heo","orcid":null},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tae K. Heo","raw_affiliation_strings":["South Dakota State University, Brookings, SD"],"affiliations":[{"raw_affiliation_string":"South Dakota State University, Brookings, SD","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100859064","display_name":"Hyung Do Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyung D. Choi","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI), DaeJeon, South Korea","Electronics and Telecommunications Research Institute (ETRI) Daejeon, South Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI), DaeJeon, South Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI) Daejeon, South Korea#TAB#","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043545079"],"corresponding_institution_ids":["https://openalex.org/I177156846"],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.7588189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"177","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9811000227928162,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.757270097732544},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.686124861240387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6653566360473633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6400529146194458},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6226551532745361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5166347622871399},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5002546310424805},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.4982891082763672},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.48988932371139526},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41857296228408813},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4182204604148865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33507436513900757},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3082260489463806},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10386911034584045}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.757270097732544},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.686124861240387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6653566360473633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6400529146194458},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6226551532745361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5166347622871399},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5002546310424805},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.4982891082763672},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.48988932371139526},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41857296228408813},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4182204604148865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33507436513900757},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3082260489463806},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10386911034584045},{"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":1,"locations":[{"id":"doi:10.1145/2811411.2811505","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2811411.2811505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on research in adaptive and convergent systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7099999785423279,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1557949556","https://openalex.org/W1562347861","https://openalex.org/W1963789533","https://openalex.org/W1974919957","https://openalex.org/W1994807229","https://openalex.org/W2005959398","https://openalex.org/W2017074421","https://openalex.org/W2029168317","https://openalex.org/W2085132317","https://openalex.org/W2100013989","https://openalex.org/W2120515362","https://openalex.org/W2124351082","https://openalex.org/W2126326837","https://openalex.org/W2140617045","https://openalex.org/W2141597874","https://openalex.org/W2144647583","https://openalex.org/W4235152402"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W3165040664","https://openalex.org/W2350539780","https://openalex.org/W3122652148","https://openalex.org/W1583866266","https://openalex.org/W4242386713","https://openalex.org/W2002351209","https://openalex.org/W2996505764"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,6,20,91],"classification":[2,21,148],"technique":[3],"divides":[4],"breast":[5,19,90],"into":[7,26,92],"two":[8,59,93],"categories,":[9],"benign":[10,27],"tumors":[11],"and":[12,31,71,77,98,131,154,156],"malignant":[13,29,99],"tumors.":[14],"The":[15,137],"main":[16],"purpose":[17],"of":[18,49,73,108,116,126],"is":[22,81],"to":[23,67,88,112],"classify":[24,89],"abnormalities":[25],"or":[28,51],"classes":[30],"thus":[32],"can":[33,45,146,157],"help":[34],"physicians":[35,159],"with":[36,120,133],"further":[37,162],"analysis":[38],"by":[39],"minimizing":[40],"the":[41,102,114,134],"possible":[42],"errors":[43],"that":[44,140],"be":[46],"done":[47],"because":[48],"fatigued":[50],"inexperienced":[52],"physician.":[53],"In":[54,110],"this":[55,141],"paper,":[56],"we":[57],"propose":[58],"new":[60,142],"shape":[61,103,123,143],"irregularity":[62],"measurement":[63,145],"based":[64],"on":[65],"centroid":[66],"contour":[68],"distance":[69],"information":[70],"measures":[72,107],"variability":[74],"namely":[75],"variance":[76],"range.":[78],"Then":[79],"SVM":[80],"used":[82],"as":[83],"a":[84,121],"machine":[85],"learning":[86],"tool":[87],"different":[94],"class":[95,97],"(benign":[96],"class)":[100],"using":[101,106],"features":[104],"extracted":[105],"variability.":[109],"order":[111],"compare":[113],"performance":[115],"our":[117],"proposed":[118,135],"method":[119],"global":[122],"measure,":[124],"compactness":[125],"each":[127],"tumor":[128],"was":[129],"calculated":[130],"compared":[132],"method.":[136],"results":[138],"shows":[139],"feature":[144],"improve":[147],"performances":[149],"for":[150,160],"MCC,":[151],"specificity,":[152],"sensitivity":[153],"accuracy":[155],"aid":[158],"undergoing":[161],"diagnosis.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
