{"id":"https://openalex.org/W2114581665","doi":"https://doi.org/10.1109/icme.2007.4284947","title":"Effective Extraction of Gabor Features for Adaptive Mammogram Retrieval","display_name":"Effective Extraction of Gabor Features for Adaptive Mammogram Retrieval","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W2114581665","doi":"https://doi.org/10.1109/icme.2007.4284947","mag":"2114581665"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2007.4284947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Effective_extraction_of_Gabor_features_for_adaptive_mammogram_retrieval/20766916","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049799372","display_name":"Chia\u2010Hung Wei","orcid":"https://orcid.org/0000-0002-1193-3610"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chia-Hung Wei","raw_affiliation_strings":["Department of Computer Science, University of Warwick, UK","University of Warwick,Coventry"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, UK","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"University of Warwick,Coventry","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621538","display_name":"Yue Li","orcid":"https://orcid.org/0000-0001-5482-6244"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["Department of Computer Science, University of Warwick, UK","University of Warwick,Coventry"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, UK","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"University of Warwick,Coventry","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075200053","display_name":"Chang\u2010Tsun Li","orcid":"https://orcid.org/0000-0003-4735-6138"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chang-Tsun Li","raw_affiliation_strings":["Department of Computer Science, University of Warwick, UK","University of Warwick,Coventry"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, UK","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"University of Warwick,Coventry","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6581,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.72994452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1503","last_page":"1506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9890000224113464,"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/T10862","display_name":"AI in cancer detection","score":0.9807999730110168,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8031007051467896},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.6950513124465942},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6661388278007507},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6575770378112793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6424896121025085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6237876415252686},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.612998366355896},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5905557870864868},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5182895064353943},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4958136975765228},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4836333990097046},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46698302030563354},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4507649838924408},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42783066630363464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.349836140871048},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2757856249809265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8031007051467896},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.6950513124465942},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6661388278007507},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6575770378112793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6424896121025085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6237876415252686},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.612998366355896},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5905557870864868},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5182895064353943},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4958136975765228},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4836333990097046},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46698302030563354},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4507649838924408},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42783066630363464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.349836140871048},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2757856249809265},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icme.2007.4284947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30125981","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20766916","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Effective_extraction_of_Gabor_features_for_adaptive_mammogram_retrieval/20766916","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20766916","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Effective_extraction_of_Gabor_features_for_adaptive_mammogram_retrieval/20766916","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.550000011920929,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1973693867","https://openalex.org/W2044465660","https://openalex.org/W2103384342","https://openalex.org/W2125148312","https://openalex.org/W2138100172","https://openalex.org/W4237925532"],"related_works":["https://openalex.org/W2034539438","https://openalex.org/W2124645781","https://openalex.org/W2184057774","https://openalex.org/W2140331143","https://openalex.org/W2543381692","https://openalex.org/W1606474234","https://openalex.org/W1497114142","https://openalex.org/W2133641558","https://openalex.org/W2096561479","https://openalex.org/W2411245752"],"abstract_inverted_index":{"Breast":[0],"cancer":[1],"is":[2,32],"one":[3,33],"of":[4,34,48,64,80,144],"the":[5,35,46,57,61,77,81,106,109,113],"most":[6],"common":[7],"diseases":[8],"among":[9],"women.":[10],"Content-based":[11],"mammogram":[12,26],"retrieval":[13,27,133],"has":[14],"been":[15],"proposed":[16],"to":[17,68,75,104],"aid":[18],"various":[19],"medical":[20],"procedures.":[21],"To":[22],"develop":[23],"a":[24,41,65,100,141],"content-based":[25],"system,":[28],"textural":[29,49,78],"feature":[30,91,96],"extraction":[31,47],"crucial":[36],"requirements.":[37],"This":[38,83],"study":[39,84],"proposes":[40,86],"Gabor":[42,54],"filtering":[43,55],"method":[44],"for":[45,90],"features,":[50],"which":[51,98],"firstly":[52],"performs":[53],"on":[56],"underlying":[58],"image,":[59],"applies":[60],"physical":[62],"properties":[63],"probability":[66,69],"wave":[67],"transformation":[70],"and":[71,95,111,131],"then":[72],"computes":[73],"features":[74,130],"describe":[76],"pattern":[79],"mammogram.":[82],"also":[85],"an":[87],"adaptive":[88],"strategy":[89],"selection,":[92],"filter":[93],"selection":[94],"weighting,":[97],"utilizes":[99],"user's":[101,114],"relevance":[102,145],"feedback":[103],"reduce":[105],"redundancy":[107],"in":[108,117],"representation":[110],"incorporates":[112],"information":[115],"needs":[116],"image":[118],"retrieval.":[119],"Experimental":[120],"results":[121],"show":[122],"that":[123],"hypothesis":[124],"tests":[125],"can":[126,135],"effectively":[127],"find":[128],"discriminated":[129],"this":[132],"system":[134],"improve":[136],"its":[137],"performance":[138],"through":[139],"just":[140],"few":[142],"rounds":[143],"feedback.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}