{"id":"https://openalex.org/W2573578753","doi":"https://doi.org/10.1080/10798587.2017.1257544","title":"Detection of architectural distortion in mammograms using geometrical properties of thinned edge structures","display_name":"Detection of architectural distortion in mammograms using geometrical properties of thinned edge structures","publication_year":2017,"publication_date":"2017-01-02","ids":{"openalex":"https://openalex.org/W2573578753","doi":"https://doi.org/10.1080/10798587.2017.1257544","mag":"2573578753"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2017.1257544","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2017.1257544","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-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/A5041942105","display_name":"Rekha Lakshmanan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rekha Lakshmanan","raw_affiliation_strings":["Department of Electronics Engineering, Government Model Engineering College, Kochi, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Government Model Engineering College, Kochi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026374100","display_name":"T. P. Shiji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiji T. P.","raw_affiliation_strings":["Department of Electronics Engineering, Government Model Engineering College, Kochi, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Government Model Engineering College, Kochi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021652579","display_name":"Suma Jacob","orcid":"https://orcid.org/0000-0001-7434-7398"},"institutions":[{"id":"https://openalex.org/I2799617311","display_name":"Lakeshore Hospital","ror":"https://ror.org/01dm18990","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I2799617311"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suma Mariam Jacob","raw_affiliation_strings":["Lakeshore Hospital, Kochi, India"],"affiliations":[{"raw_affiliation_string":"Lakeshore Hospital, Kochi, India","institution_ids":["https://openalex.org/I2799617311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039708650","display_name":"Thara Pratab","orcid":null},"institutions":[{"id":"https://openalex.org/I2799617311","display_name":"Lakeshore Hospital","ror":"https://ror.org/01dm18990","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I2799617311"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Thara Pratab","raw_affiliation_strings":["Lakeshore Hospital, Kochi, India"],"affiliations":[{"raw_affiliation_string":"Lakeshore Hospital, Kochi, India","institution_ids":["https://openalex.org/I2799617311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089515827","display_name":"Chinchu Thomas","orcid":"https://orcid.org/0000-0003-4887-2273"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chinchu Thomas","raw_affiliation_strings":["Department of Electronics Engineering, Government Engineering College, Cherthala, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Government Engineering College, Cherthala, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061510550","display_name":"Vinu Thomas","orcid":"https://orcid.org/0000-0002-8851-5919"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vinu Thomas","raw_affiliation_strings":["Department of Electronics Engineering, Government Model Engineering College, Kochi, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Government Model Engineering College, Kochi, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041942105"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68211018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"23","issue":"1","first_page":"183","last_page":"197"},"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":0.9983000159263611,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9954000115394592,"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/centroid","display_name":"Centroid","score":0.7788118124008179},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7183135151863098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7036159038543701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5219216346740723},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4558687210083008},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4393324553966522},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.43590247631073},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.42839592695236206},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.3955475091934204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38172993063926697},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33552539348602295},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27599310874938965},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25594890117645264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22424420714378357},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.21722349524497986},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16703322529792786},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.10094696283340454},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08445188403129578}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.7788118124008179},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7183135151863098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7036159038543701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5219216346740723},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4558687210083008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4393324553966522},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.43590247631073},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.42839592695236206},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3955475091934204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38172993063926697},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33552539348602295},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27599310874938965},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25594890117645264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22424420714378357},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.21722349524497986},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16703322529792786},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.10094696283340454},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08445188403129578},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.2017.1257544","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2017.1257544","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324579","display_name":"Universit\u00e0 degli Studi di Roma Tor Vergata","ror":"https://ror.org/02p77k626"},{"id":"https://openalex.org/F4320335111","display_name":"Kerala State Council for Science, Technology and Environment","ror":"https://ror.org/030fy4q75"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W652229124","https://openalex.org/W1494052777","https://openalex.org/W1514413577","https://openalex.org/W1571573668","https://openalex.org/W1573041001","https://openalex.org/W1596914020","https://openalex.org/W1976744965","https://openalex.org/W1978227284","https://openalex.org/W1995399973","https://openalex.org/W1996223772","https://openalex.org/W2011210806","https://openalex.org/W2014238965","https://openalex.org/W2020029072","https://openalex.org/W2024691180","https://openalex.org/W2032078352","https://openalex.org/W2033441719","https://openalex.org/W2059483270","https://openalex.org/W2060226124","https://openalex.org/W2065507658","https://openalex.org/W2067136649","https://openalex.org/W2078276635","https://openalex.org/W2080505447","https://openalex.org/W2080759461","https://openalex.org/W2087550369","https://openalex.org/W2093230932","https://openalex.org/W2099046646","https://openalex.org/W2102427741","https://openalex.org/W2103504761","https://openalex.org/W2135346934","https://openalex.org/W2137356002","https://openalex.org/W2145023731","https://openalex.org/W2145744030","https://openalex.org/W2159013813","https://openalex.org/W2160754664","https://openalex.org/W2161715150","https://openalex.org/W2161791887","https://openalex.org/W2167034998","https://openalex.org/W2167101736","https://openalex.org/W2168164949","https://openalex.org/W2174586432","https://openalex.org/W2176490824","https://openalex.org/W2212276945","https://openalex.org/W2318502288","https://openalex.org/W2994425880","https://openalex.org/W4205917330","https://openalex.org/W4229936741","https://openalex.org/W4236060337","https://openalex.org/W4252280335","https://openalex.org/W4285719527","https://openalex.org/W4298351371","https://openalex.org/W4301823920"],"related_works":["https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W2101902114","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W4249592067","https://openalex.org/W2056407677","https://openalex.org/W2128085731","https://openalex.org/W4293054829"],"abstract_inverted_index":{"AbstractThe":[0],"proposed":[1],"method":[2,17],"detects":[3],"the":[4,16,20,40,48,74,123,126],"most":[5],"commonly":[6],"missed":[7],"breast":[8],"cancer":[9],"symptom,":[10],"Architectural":[11,31,56,66],"Distortion.":[12,57],"The":[13],"basis":[14],"of":[15,22,25,42,55,65,73,125,132],"lies":[18],"in":[19,33,82],"analysis":[21],"geometrical":[23],"properties":[24,108],"abnormal":[26],"patterns":[27],"that":[28,59],"correspond":[29],"to":[30,51,62,111,122],"Distortion":[32,67],"mammograms.":[34],"Pre-processing":[35],"methods":[36],"are":[37,60,68,80,89,102,139],"employed":[38],"for":[39,137],"elimination":[41],"Pectoral":[43],"Muscle":[44],"(PM)":[45],"region":[46],"from":[47,118],"mammogram":[49],"and":[50,128],"localize":[52],"possible":[53],"centers":[54],"Regions":[58],"candidates":[61],"contain":[63],"centroids":[64],"identified":[69],"using":[70,85,91],"a":[71],"modification":[72],"isotropic":[75],"SUSAN":[76],"filter.":[77],"Edge":[78],"features":[79],"computed":[81],"these":[83,96,133],"regions":[84],"Phase":[86],"Congruency,":[87],"which":[88],"thinned":[90,97],"Gradient":[92],"Magnitude":[93],"Maximization.":[94],"From":[95],"edges,":[98],"relevant":[99],"edge":[100,134],"structures":[101],"retained":[103],"based":[104],"on":[105],"three":[106],"geometric":[107],"namely":[109],"eccentricity":[110],"retain":[112],"near":[113],"linear":[114],"structures,":[115],"perpendicular":[116],"distance":[117],"each":[119],"such":[120],"structure":[121],"centroid":[124],"edges":[127],"quadrant":[129],"support":[130],"membership":[131],"structures.":[135],"Features":[136],"classification":[138],"g...":[140]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
