{"id":"https://openalex.org/W2908876712","doi":"https://doi.org/10.1109/dicta.2018.8615858","title":"Evaluation of Graph Topological Features in Digitized Mammogram for Microcalcification Cluster Classification","display_name":"Evaluation of Graph Topological Features in Digitized Mammogram for Microcalcification Cluster Classification","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2908876712","doi":"https://doi.org/10.1109/dicta.2018.8615858","mag":"2908876712"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2018.8615858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","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/A5103156050","display_name":"Nashid Alam","orcid":"https://orcid.org/0000-0001-6488-8473"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Nashid Alam","raw_affiliation_strings":["Department of Computer Science, Aberystwyth University, Wales, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aberystwyth University, Wales, United Kingdom","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075394907","display_name":"Reyer Zwiggelaar","orcid":"https://orcid.org/0000-0002-4360-0896"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Reyer Zwiggelaar","raw_affiliation_strings":["Department of Computer Science, Aberystwyth University, Wales, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aberystwyth University, Wales, United Kingdom","institution_ids":["https://openalex.org/I16038530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103156050"],"corresponding_institution_ids":["https://openalex.org/I16038530"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16470227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9987999796867371,"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":0.9987999796867371,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6526008248329163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627263605594635},{"id":"https://openalex.org/keywords/microcalcification","display_name":"Microcalcification","score":0.6262969374656677},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6083248257637024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5549104809761047},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5423529744148254},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5150368213653564},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5003011226654053},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4736688733100891},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.44557005167007446},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.4437969923019409},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1601153016090393},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.101255863904953}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6526008248329163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627263605594635},{"id":"https://openalex.org/C2781129008","wikidata":"https://www.wikidata.org/wiki/Q1933877","display_name":"Microcalcification","level":5,"score":0.6262969374656677},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6083248257637024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5549104809761047},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5423529744148254},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5150368213653564},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5003011226654053},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4736688733100891},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.44557005167007446},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.4437969923019409},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1601153016090393},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.101255863904953},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"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/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/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2018.8615858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W91558207","https://openalex.org/W177004468","https://openalex.org/W2058238527","https://openalex.org/W2066387791","https://openalex.org/W2071315978","https://openalex.org/W2107653812","https://openalex.org/W2110178889","https://openalex.org/W2122621634","https://openalex.org/W2123696692","https://openalex.org/W2123720956","https://openalex.org/W2133990480","https://openalex.org/W2139428734","https://openalex.org/W2156111940","https://openalex.org/W2168390307","https://openalex.org/W2210018430","https://openalex.org/W2319594879","https://openalex.org/W2514575318","https://openalex.org/W2789725830","https://openalex.org/W2806445499","https://openalex.org/W2878142711","https://openalex.org/W2888766515","https://openalex.org/W3103913776","https://openalex.org/W4240063450","https://openalex.org/W6607184829","https://openalex.org/W6726088282"],"related_works":["https://openalex.org/W2378946663","https://openalex.org/W2031284012","https://openalex.org/W2354834859","https://openalex.org/W2340621660","https://openalex.org/W3190666406","https://openalex.org/W2557931800","https://openalex.org/W2116047071","https://openalex.org/W54977395","https://openalex.org/W1540588256","https://openalex.org/W4378191048"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,28,37,43,56,60,70,129],"scale-specific":[4],"graph":[5,38],"topological":[6],"changes":[7],"of":[8,19,30,48,62,69],"Microcalcifications":[9],"(MC)":[10],"were":[11,24,40,135],"investigated":[12],"to":[13,59,133],"classify":[14],"MC":[15,21,49,63,81],"cluster.":[16],"A":[17],"series":[18,39],"multi-scale":[20],"cluster":[22,64],"graphs":[23,72],"generated":[25,71],"based":[26],"on":[27],"connectivity":[29],"individual":[31],"MCs.":[32],"The":[33,92],"extracted":[34],"features":[35,57,78],"from":[36],"integrated":[41],"with":[42,88],"statistical":[44],"and":[45,107,120],"morphological":[46],"characteristics":[47],"clusters.":[50],"Subsequent":[51],"feature":[52],"selection":[53],"showed":[54],"that":[55],"related":[58],"denseness":[61],"at":[65],"some":[66],"specific":[67],"scales":[68],"discriminated":[73],"better":[74],"than":[75],"all":[76],"other":[77],"in":[79],"classifying":[80],"clusters":[82],"while":[83],"using":[84,97],"an":[85],"ensemble":[86],"classifier":[87],"10-fold":[89],"cross":[90],"validation.":[91],"proposed":[93],"method":[94],"was":[95],"evaluated":[96],"two":[98],"well-known":[99],"digitized":[100],"datasets:":[101],"MIAS":[102],"(Mammographic":[103],"Image":[104],"Analysis":[105],"Society)":[106],"DDSM":[108],"(The":[109],"Digital":[110],"Database":[111],"for":[112],"Screening":[113],"Mammography).":[114],"High":[115],"classification":[116],"accuracy":[117],"(around":[118],"98%)":[119],"good":[121],"ROC":[122,130],"(receiver":[123],"operating":[124],"characteristic)":[125],"results":[126],"(area":[127],"under":[128],"curve":[131],"up":[132],"0.99)":[134],"achieved.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
