{"id":"https://openalex.org/W2165731505","doi":"https://doi.org/10.1109/tbme.2011.2128870","title":"Recognizing Architectural Distortion in Mammogram: A Multiscale Texture Modeling Approach with GMM","display_name":"Recognizing Architectural Distortion in Mammogram: A Multiscale Texture Modeling Approach with GMM","publication_year":2011,"publication_date":"2011-03-17","ids":{"openalex":"https://openalex.org/W2165731505","doi":"https://doi.org/10.1109/tbme.2011.2128870","mag":"2165731505","pmid":"https://pubmed.ncbi.nlm.nih.gov/21421429"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2011.2128870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2011.2128870","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5041975814","display_name":"Sujoy Biswas","orcid":"https://orcid.org/0000-0003-0942-9199"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S K Biswas","raw_affiliation_strings":["Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata 700108, India. skbhere@gmail.com","Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata 700108, India. skbhere@gmail.com","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006205250","display_name":"Dipti Prasad Mukherjee","orcid":"https://orcid.org/0000-0001-5553-2790"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D P Mukherjee","raw_affiliation_strings":["Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041975814"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":4.2758,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94519173,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"58","issue":"7","first_page":"2023","last_page":"2030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9973000288009644,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7003598809242249},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6898947358131409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6815046668052673},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6628113985061646},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6262505054473877},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6144172549247742},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.6100295186042786},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5584283471107483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5353894829750061},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5218923687934875},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.500105619430542},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4816790521144867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4297913610935211},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.42800647020339966},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.4256019592285156},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2547069787979126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18553784489631653}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7003598809242249},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6898947358131409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6815046668052673},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6628113985061646},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6262505054473877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6144172549247742},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.6100295186042786},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5584283471107483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5353894829750061},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5218923687934875},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.500105619430542},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4816790521144867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4297913610935211},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.42800647020339966},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.4256019592285156},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2547069787979126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18553784489631653},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2011.2128870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2011.2128870","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:21421429","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21421429","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W41027960","https://openalex.org/W94523489","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1995399973","https://openalex.org/W2007693625","https://openalex.org/W2014238965","https://openalex.org/W2014408515","https://openalex.org/W2016369756","https://openalex.org/W2019245842","https://openalex.org/W2035986973","https://openalex.org/W2059483270","https://openalex.org/W2067136649","https://openalex.org/W2093230932","https://openalex.org/W2096821823","https://openalex.org/W2109871600","https://openalex.org/W2109902973","https://openalex.org/W2141376824","https://openalex.org/W2152548630","https://openalex.org/W2155490028","https://openalex.org/W2166609686","https://openalex.org/W2514575318","https://openalex.org/W6726088282"],"related_works":["https://openalex.org/W2541128885","https://openalex.org/W2033534994","https://openalex.org/W2414946225","https://openalex.org/W2156181680","https://openalex.org/W2170701234","https://openalex.org/W2080322084","https://openalex.org/W1840273037","https://openalex.org/W1967418220","https://openalex.org/W2384195468","https://openalex.org/W1562793155"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,34,57,74,100],"generative":[3],"model":[4,48],"for":[5,13,134],"constructing":[6],"an":[7],"efficient":[8],"set":[9,65],"of":[10,24,43,59,66,76,84,103,141],"distinctive":[11],"textures":[12],"recognizing":[14],"architectural":[15],"distortion":[16],"in":[17,92],"digital":[18],"mammograms.":[19],"In":[20],"the":[21,25,29,64,81,85,93,114,139,142],"first":[22,94],"layer":[23,83,95],"proposed":[26,86,143],"two-layer":[27],"architecture,":[28],"mammogram":[30,52],"is":[31,71,96],"analyzed":[32],"by":[33,56,73],"multiscale":[35],"oriented":[36],"filter":[37,45],"bank":[38],"to":[39,98],"form":[40],"texture":[41,61],"descriptor":[42,91],"vectorized":[44],"responses.":[46],"Our":[47],"presumes":[49],"that":[50],"every":[51],"can":[53],"be":[54,99],"characterized":[55],"\"bag":[58],"primitive":[60],"patterns\"":[62],"and":[63,131],"textural":[67,90,111],"primitives":[68],"(or":[69],"textons)":[70],"represented":[72],"mixture":[75],"Gaussians":[77],"which":[78],"builds":[79],"up":[80],"second":[82,115],"model.":[87],"The":[88,117],"observed":[89],"assumed":[97],"stochastic":[101],"realization":[102],"one":[104],"(hard":[105],"mapping)":[106,110],"or":[107],"more":[108],"(soft":[109],"primitive(s)":[112],"from":[113],"layer.":[116],"results":[118],"obtained":[119],"on":[120],"two":[121],"publicly":[122],"available":[123],"datasets,":[124],"namely":[125],"Mammographic":[126],"Image":[127],"Analysis":[128],"Society":[129],"(MIAS)":[130],"Digital":[132],"Database":[133],"Screening":[135],"Mammography":[136],"(DDSM),":[137],"demonstrate":[138],"efficacy":[140],"approach.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}