{"id":"https://openalex.org/W3122607238","doi":"https://doi.org/10.1109/cogmi50398.2020.00019","title":"A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports","display_name":"A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports","publication_year":2020,"publication_date":"2020-10-01","ids":{"openalex":"https://openalex.org/W3122607238","doi":"https://doi.org/10.1109/cogmi50398.2020.00019","mag":"3122607238"},"language":"en","primary_location":{"id":"doi:10.1109/cogmi50398.2020.00019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cogmi50398.2020.00019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.utwente.nl/en/publications/b5e975d3-ff2b-4315-817e-cb967eb75213","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050118323","display_name":"Elisa Nguyen","orcid":"https://orcid.org/0000-0003-0224-268X"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Elisa Nguyen","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056343285","display_name":"Daphne Theodorakopoulos","orcid":"https://orcid.org/0009-0008-0827-7449"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Daphne Theodorakopoulos","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031482999","display_name":"Shreyasi Pathak","orcid":"https://orcid.org/0000-0002-6984-8208"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Shreyasi Pathak","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067576509","display_name":"Jeroen Geerdink","orcid":"https://orcid.org/0000-0001-6718-6653"},"institutions":[{"id":"https://openalex.org/I4210149617","display_name":"Ziekenhuis Groep Twente","ror":"https://ror.org/04grrp271","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210149617"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jeroen Geerdink","raw_affiliation_strings":["Hospital Group Twente, Hengelo, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hospital Group Twente, Hengelo, The Netherlands","institution_ids":["https://openalex.org/I4210149617"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026165781","display_name":"Onno Vijlbrief","orcid":"https://orcid.org/0000-0003-2303-6009"},"institutions":[{"id":"https://openalex.org/I4210149617","display_name":"Ziekenhuis Groep Twente","ror":"https://ror.org/04grrp271","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210149617"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Onno Vijlbrief","raw_affiliation_strings":["Hospital Group Twente, Hengelo, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hospital Group Twente, Hengelo, The Netherlands","institution_ids":["https://openalex.org/I4210149617"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062035687","display_name":"Maurice van Keulen","orcid":"https://orcid.org/0000-0003-2436-1372"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maurice van Keulen","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054484216","display_name":"Christin Seifert","orcid":"https://orcid.org/0000-0002-6776-3868"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christin Seifert","raw_affiliation_strings":["Faculty of Medicine, University of Duisburg-Essen, Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Medicine, University of Duisburg-Essen, Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6898,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.74757146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9969000220298767,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9955999851226807,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8902530670166016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7849239110946655},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7380427122116089},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5917460322380066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5894196033477783},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5287278294563293},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.4830777943134308},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37981635332107544},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.367881715297699},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3473758101463318},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1917714774608612},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.14761164784431458},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0777919590473175}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8902530670166016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849239110946655},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7380427122116089},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5917460322380066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5894196033477783},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5287278294563293},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.4830777943134308},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37981635332107544},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.367881715297699},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3473758101463318},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1917714774608612},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.14761164784431458},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0777919590473175},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cogmi50398.2020.00019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cogmi50398.2020.00019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI)","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire/b5e975d3-ff2b-4315-817e-cb967eb75213","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/b5e975d3-ff2b-4315-817e-cb967eb75213","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:bibliographie.ub.uni-due.de:ubo_mods_00161910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/CogMI50398.2020.00019","pdf_url":null,"source":{"id":"https://openalex.org/S7407055102","display_name":"Universit\u00e4tsbibliographie, Universit\u00e4t Duisburg-Essen","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"chapter"}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:openaire/b5e975d3-ff2b-4315-817e-cb967eb75213","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/b5e975d3-ff2b-4315-817e-cb967eb75213","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1521626219","https://openalex.org/W1544827683","https://openalex.org/W2101234009","https://openalex.org/W2102519580","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2143205289","https://openalex.org/W2154652894","https://openalex.org/W2295598076","https://openalex.org/W2606833494","https://openalex.org/W2606974598","https://openalex.org/W2907639145","https://openalex.org/W2914437773","https://openalex.org/W2917682189","https://openalex.org/W2943444949","https://openalex.org/W2949615363","https://openalex.org/W2953486306","https://openalex.org/W2962965405","https://openalex.org/W2963403868","https://openalex.org/W2963929190","https://openalex.org/W2964308564","https://openalex.org/W2980775795","https://openalex.org/W2981852735","https://openalex.org/W3102476541","https://openalex.org/W3151369355","https://openalex.org/W4255018183","https://openalex.org/W4288089799","https://openalex.org/W4385245566","https://openalex.org/W6632455782","https://openalex.org/W6679436768","https://openalex.org/W6682631176","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2973759123"],"abstract_inverted_index":{"Breast":[0],"cancer":[1],"diagnosis":[2],"is":[3,37,89,162],"based":[4],"on":[5,84],"radiology":[6,53,126],"reports":[7,21,36],"describing":[8],"observations":[9],"made":[10],"from":[11],"medical":[12],"imagery,":[13],"such":[14],"as":[15],"X-rays":[16],"obtained":[17],"during":[18],"mammography.":[19],"The":[20,74],"are":[22],"written":[23],"by":[24,111],"radiologists":[25],"and":[26,39,68,96,141,147],"contain":[27],"a":[28,57,62,69,78,112,122,180],"conclusion":[29],"summarizing":[30,34],"the":[31,35,48,85,100,103,135,148,159],"observations.":[32],"Manually":[33],"time-consuming":[38],"leads":[40],"to":[41,91,120,138,142,166],"high":[42],"text":[43],"variability.":[44],"This":[45],"paper":[46],"investigates":[47],"automated":[49],"summarization":[50,75],"of":[51,61,82],"Dutch":[52,86],"reports.":[54],"We":[55],"propose":[56,121],"hybrid":[58,123,176],"model":[59,64,76,105,161],"consisting":[60],"language":[63,104],"(encoder-decoder":[65],"with":[66,132],"attention)":[67],"separate":[70,113],"BI-RADS":[71,101],"score":[72,81],"classifier.":[73],"achieved":[77],"ROUGE-L":[79],"F1":[80],"51.5%":[83],"reports,":[87],"which":[88],"comparable":[90],"results":[92,173],"in":[93,169],"other":[94,97],"languages":[95],"domains.":[98],"For":[99],"classification,":[102],"(accuracy":[106,115],"79.1":[107],"%)":[108],"was":[109],"outperformed":[110],"classifier":[114],"83.3":[116],"%),":[117],"leading":[118],"us":[119],"approach":[124],"for":[125,151,183],"report":[127],"summarization.":[128],"Our":[129],"qualitative":[130],"evaluation":[131],"experts":[133],"found":[134],"generated":[136],"conclusions":[137],"be":[139,154,167,179],"comprehensible":[140],"cover":[143],"mostly":[144],"relevant":[145],"content,":[146],"main":[149],"focus":[150],"improvement":[152],"should":[153],"their":[155],"factual":[156],"correctness.":[157],"While":[158],"current":[160],"not":[163],"accurate":[164],"enough":[165],"employed":[168],"clinical":[170],"practice,":[171],"our":[172],"indicate":[174],"that":[175],"models":[177],"might":[178],"worthwhile":[181],"direction":[182],"future":[184],"research.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
