{"id":"https://openalex.org/W2035801816","doi":"https://doi.org/10.1117/12.387602","title":"&lt;title&gt;Texture feature extraction methods for microcalcification classification in mammograms&lt;/title&gt;","display_name":"&lt;title&gt;Texture feature extraction methods for microcalcification classification in mammograms&lt;/title&gt;","publication_year":2000,"publication_date":"2000-06-06","ids":{"openalex":"https://openalex.org/W2035801816","doi":"https://doi.org/10.1117/12.387602","mag":"2035801816"},"language":"en","primary_location":{"id":"doi:10.1117/12.387602","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.387602","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/A5058761102","display_name":"Hamid Soltanian\u2010Zadeh","orcid":"https://orcid.org/0000-0002-7302-6856"},"institutions":[{"id":"https://openalex.org/I154057602","display_name":"Henry Ford Health System","ror":"https://ror.org/02kwnkm68","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I154057602"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hamid Soltanian-Zadeh","raw_affiliation_strings":["Henry Ford Health System, Univ. of Tehran, and Institute for Studies in Theoretical Physic (United States)"],"affiliations":[{"raw_affiliation_string":"Henry Ford Health System, Univ. of Tehran, and Institute for Studies in Theoretical Physic (United States)","institution_ids":["https://openalex.org/I154057602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109951923","display_name":"Siamak Pourabdollah-Nezhad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145836","display_name":"Center for Theoretical Biological Physics","ror":"https://ror.org/04hfg7v94","country_code":"US","type":"facility","lineage":["https://openalex.org/I12912129","https://openalex.org/I181547552","https://openalex.org/I2801539370","https://openalex.org/I4210145836","https://openalex.org/I44461941","https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siamak Pourabdollah-Nezhad","raw_affiliation_strings":["Institute for Studies in Theoretical Physics and Mathematics (United States)"],"affiliations":[{"raw_affiliation_string":"Institute for Studies in Theoretical Physics and Mathematics (United States)","institution_ids":["https://openalex.org/I4210145836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003944420","display_name":"Farshid Rafiee Rad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145836","display_name":"Center for Theoretical Biological Physics","ror":"https://ror.org/04hfg7v94","country_code":"US","type":"facility","lineage":["https://openalex.org/I12912129","https://openalex.org/I181547552","https://openalex.org/I2801539370","https://openalex.org/I4210145836","https://openalex.org/I44461941","https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farshid Rafiee Rad","raw_affiliation_strings":["Institute for Studies in Theoretical Physics and Mathematics (United States)"],"affiliations":[{"raw_affiliation_string":"Institute for Studies in Theoretical Physics and Mathematics (United States)","institution_ids":["https://openalex.org/I4210145836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058761102"],"corresponding_institution_ids":["https://openalex.org/I154057602"],"apc_list":null,"apc_paid":null,"fwci":0.2914,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62212867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3979","issue":null,"first_page":"982","last_page":"989"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10862","display_name":"AI in cancer detection","score":0.9940000176429749,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9265999794006348,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7327621579170227},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7154985070228577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6556144952774048},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6352529525756836},{"id":"https://openalex.org/keywords/microcalcification","display_name":"Microcalcification","score":0.5967990159988403},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5601781606674194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5444889664649963},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4613305330276489},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4157125949859619},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.30763399600982666}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7327621579170227},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7154985070228577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6556144952774048},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6352529525756836},{"id":"https://openalex.org/C2781129008","wikidata":"https://www.wikidata.org/wiki/Q1933877","display_name":"Microcalcification","level":5,"score":0.5967990159988403},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5601781606674194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5444889664649963},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4613305330276489},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4157125949859619},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.30763399600982666},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.387602","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.387602","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":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W2378946663","https://openalex.org/W2031284012","https://openalex.org/W2354834859","https://openalex.org/W2340621660","https://openalex.org/W4378191048","https://openalex.org/W3190666406","https://openalex.org/W2328635413","https://openalex.org/W1540588256","https://openalex.org/W2306216960"],"abstract_inverted_index":{"We":[0],"present":[1],"development,":[2],"application,":[3],"and":[4,18,64,77,89,98,103,183,217],"performance":[5],"evaluation":[6],"of":[7,16,25,35,60,71,96,117,126,155,162],"three":[8,55],"different":[9],"texture":[10,50,72],"feature":[11],"extraction":[12],"methods":[13],"for":[14],"classification":[15],"benign":[17],"malignant":[19,127],"microcalcifications":[20,39],"in":[21],"mammograms.":[22],"The":[23,115,134,148,159,175],"steps":[24],"the":[26,111,124,140,144,167,179,184,190,194,207],"work":[27],"accomplished":[28],"are":[29],"as":[30,123],"follows.":[31],"(1)":[32],"A":[33],"total":[34],"103":[36],"regions":[37],"containing":[38],"were":[40,52,81,107,157,187,225],"selected":[41],"from":[42,171],"a":[43,84,90,100,104,118,137,210,218],"mammographic":[44],"database.":[45],"(2)":[46],"For":[47,68,93,206],"each":[48,69,94,153],"region,":[49],"features":[51,76,97,156,163,186],"extracted":[53],"using":[54,83,152],"approaches:":[56],"co-occurrence":[57],"based":[58],"method":[59,177],"Haralick;":[61],"wavelet":[62,185],"transformations;":[63],"multi-wavelet":[65,176,195],"transformations.":[66],"(3)":[67],"set":[70,95,154,161],"features,":[73],"most":[74],"discriminating":[75],"their":[78],"optimal":[79],"weights":[80],"found":[82,136],"real-valued":[85],"genetic":[86],"algorithm":[87],"(GA)":[88],"training":[91],"set.":[92],"weights,":[99],"KNN":[101],"classifier":[102],"malignancy":[105,116],"criterion":[106],"used":[108],"to":[109,173,189,203],"generate":[110],"corresponding":[112],"ROC":[113,145,168],"curve.":[114,146],"given":[119],"sample":[120],"was":[121],"defined":[122],"number":[125],"neighbors":[128],"among":[129],"its":[130],"K":[131],"nearest":[132],"neighbors.":[133],"GA":[135],"population":[138],"with":[139],"largest":[141],"area":[142],"under":[143,166],"(4)":[147],"best":[149,160,208],"results":[150,201],"obtained":[151],"compared.":[158],"generated":[164,199],"areas":[165],"curve":[169],"ranging":[170],"0.82":[172],"0.91.":[174],"outperformed":[178],"other":[180],"two":[181],"methods,":[182,196],"superior":[188,200],"Haralick":[191],"features.":[192],"Among":[193],"redundant":[197],"initialization":[198],"compared":[202],"non-redundant":[204],"initialization.":[205],"method,":[209],"true":[211],"positive":[212,220],"fraction":[213,221],"larger":[214],"than":[215,223],"0.85":[216],"false":[219],"smaller":[222],"0.1":[224],"obtained.":[226]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
