{"id":"https://openalex.org/W2140149430","doi":"https://doi.org/10.1109/cbms.2009.5255329","title":"Probabilistic relational modelling of mammographic images","display_name":"Probabilistic relational modelling of mammographic images","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2140149430","doi":"https://doi.org/10.1109/cbms.2009.5255329","mag":"2140149430"},"language":"en","primary_location":{"id":"doi:10.1109/cbms.2009.5255329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2009.5255329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 22nd IEEE International Symposium on Computer-Based Medical Systems","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/A5061263326","display_name":"N\u00edvea Ferreira","orcid":null},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Nivea Ferreira","raw_affiliation_strings":["Institute of Computing and Information Sciences, Radboud University Nijmegen, Netherlands","Institute for Computing and Information Sciences, Radboud University Nijmegen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Institute of Computing and Information Sciences, Radboud University Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]},{"raw_affiliation_string":"Institute for Computing and Information Sciences, Radboud University Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007761892","display_name":"Peter Lucas","orcid":"https://orcid.org/0000-0001-5454-2428"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter J.F. Lucas","raw_affiliation_strings":["Institute of Computing and Information Sciences, Radboud University Nijmegen, Netherlands","Institute for Computing and Information Sciences, Radboud University Nijmegen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Institute of Computing and Information Sciences, Radboud University Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]},{"raw_affiliation_string":"Institute for Computing and Information Sciences, Radboud University Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061263326"],"corresponding_institution_ids":["https://openalex.org/I145872427"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13819671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3661","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9975000023841858,"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":0.9975000023841858,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9901000261306763,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9679999947547913,"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/computer-science","display_name":"Computer science","score":0.7208304405212402},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.704383373260498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6122634410858154},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5608808398246765},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5131199955940247},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.5009870529174805},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.46710363030433655},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4479057490825653},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42190021276474},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.41271600127220154},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4109601080417633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40011560916900635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3726106584072113},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3437420129776001},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3157765865325928},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11093765497207642},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10889971256256104},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.10048118233680725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7208304405212402},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.704383373260498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6122634410858154},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5608808398246765},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5131199955940247},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.5009870529174805},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.46710363030433655},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4479057490825653},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42190021276474},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.41271600127220154},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4109601080417633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40011560916900635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3726106584072113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3437420129776001},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3157765865325928},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11093765497207642},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10889971256256104},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.10048118233680725},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cbms.2009.5255329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2009.5255329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 22nd IEEE International Symposium on Computer-Based Medical Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.381.3136","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.3136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wwwis.win.tue.nl/bnaic2009/papers/junk/bnaic2009_submission_71.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1525399616","https://openalex.org/W1573020559","https://openalex.org/W1970012846","https://openalex.org/W2009203174","https://openalex.org/W2028137574","https://openalex.org/W2064811021","https://openalex.org/W2078825977","https://openalex.org/W2094338176","https://openalex.org/W2096885854","https://openalex.org/W2101705355","https://openalex.org/W2124965089","https://openalex.org/W2125055259","https://openalex.org/W2138527148","https://openalex.org/W2157825442","https://openalex.org/W2165597726","https://openalex.org/W6684463352"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W1978794434","https://openalex.org/W2163814182"],"abstract_inverted_index":{"Computer-aided":[0],"detection":[1,72],"(CAD)":[2],"is":[3,32],"used":[4],"in":[5,48,58,99,150],"medical":[6],"science":[7],"as":[8,23,41,67],"a":[9,13,26,49,125],"means":[10],"of":[11,29,51,71,105,128,139,152],"supporting":[12],"doctor's":[14],"observations":[15],"and":[16,131,154],"interpretations.":[17],"While":[18],"X-ray":[19],"imaging":[20],"techniques,":[21,142],"such":[22],"mammography,":[24],"yield":[25],"great":[27],"deal":[28],"information,":[30],"it":[31],"not":[33,122],"always":[34],"easy":[35],"to":[36,53,101],"evaluate":[37],"detected":[38],"mammographic":[39,97],"regions":[40],"being":[42],"suspicious":[43,106],"for":[44,83,124],"cancer,":[45],"which":[46,143],"results":[47],"number":[50],"cancers":[52],"be":[54],"misinterpreted":[55],"or":[56],"missed":[57],"an":[59],"image.":[60],"In":[61,86],"this":[62,87],"sense,":[63],"CAD":[64],"systems":[65],"have":[66],"aim":[68,90],"the":[69,93,103,114,137],"increase":[70],"rates":[73],"when":[74],"analysing":[75],"mammograms,":[76],"by":[77],"identifying":[78],"features":[79,94],"that":[80],"are":[81],"characteristic":[82],"breast":[84,111],"cancer.":[85],"research":[88],"we":[89],"at":[91],"using":[92],"extracted":[95],"from":[96,109],"images":[98],"order":[100],"analyse":[102],"development":[104],"lesions.":[107],"Differently":[108],"other":[110],"cancer":[112],"models,":[113],"data":[115,147],"modelling":[116],"exploits":[117],"object":[118],"orientation.":[119],"This":[120],"allows":[121],"only":[123],"natural":[126],"description":[127],"domain":[129],"entities":[130],"their":[132],"intrinsic":[133],"relations,":[134],"but":[135],"also":[136],"application":[138],"relational":[140],"learning":[141,153],"handles":[144],"our":[145],"heterogeneous":[146],"instances":[148],"both":[149],"terms":[151],"inference.":[155]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}