{"id":"https://openalex.org/W2892356759","doi":"https://doi.org/10.1109/icip.2018.8451782","title":"Confidence Analysis for Breast Mass Image Classification","display_name":"Confidence Analysis for Breast Mass Image Classification","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2892356759","doi":"https://doi.org/10.1109/icip.2018.8451782","mag":"2892356759"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3353582","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070311058","display_name":"Andrik Rampun","orcid":"https://orcid.org/0000-0001-8340-2408"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrik Rampun","raw_affiliation_strings":["School of Computing, Ulster University, Coleraine, Northern Ireland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Coleraine, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460917","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-2633-6015"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["School of Computing, Ulster University, Jordanstown, Newtownabbey, Northern Ireland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Jordanstown, Newtownabbey, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025293749","display_name":"Bryan Scotney","orcid":"https://orcid.org/0000-0002-8243-2223"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bryan Scotney","raw_affiliation_strings":["School of Computing, Ulster University, Coleraine, Northern Ireland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Coleraine, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064073991","display_name":"Philip Morrow","orcid":"https://orcid.org/0000-0002-2373-4758"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip Morrow","raw_affiliation_strings":["School of Computing, Ulster University, Coleraine, Northern Ireland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Coleraine, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"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":["Departrnent of Computer Science, Aberystwyth University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departrnent of Computer Science, Aberystwyth University, UK","institution_ids":["https://openalex.org/I16038530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"2072","last_page":"2076"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"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":1.0,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9940999746322632,"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/confidence-interval","display_name":"Confidence interval","score":0.6563010215759277},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6449106931686401},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6025856137275696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.592481255531311},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5794591903686523},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.5767161250114441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5507203936576843},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5016670227050781},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.490280419588089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4865962266921997},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4609994888305664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42518797516822815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3659104108810425},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3082650899887085},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2729755640029907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2412339150905609},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07247993350028992}],"concepts":[{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.6563010215759277},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6449106931686401},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6025856137275696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.592481255531311},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5794591903686523},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.5767161250114441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5507203936576843},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5016670227050781},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.490280419588089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4865962266921997},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4609994888305664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42518797516822815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3659104108810425},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3082650899887085},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2729755640029907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2412339150905609},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07247993350028992},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2018.8451782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/8f97f55d-7548-4164-897d-3c1e63dbf551","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/8f97f55d-7548-4164-897d-3c1e63dbf551","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rampun , A , Wang , H , Zwiggelaar , R , Scotney , B & Morrow , PJ 2018 , ' Confidence Analysis for Breast Mass Image Classification ' . https://doi.org/10.1109/ICIP.2018.8451782","raw_type":"conferenceObject"},{"id":"pmh:oai:zenodo.org:3353582","is_oa":true,"landing_page_url":"https://zenodo.org/record/3353582","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3353582","is_oa":true,"landing_page_url":"https://zenodo.org/record/3353582","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8155923643","display_name":"Decision Support and Information Management System for Breast Cancer","funder_award_id":"690238","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W167599145","https://openalex.org/W1560107318","https://openalex.org/W1869812959","https://openalex.org/W2054340175","https://openalex.org/W2098699875","https://openalex.org/W2114936196","https://openalex.org/W2133990480","https://openalex.org/W2141619730","https://openalex.org/W2158646765","https://openalex.org/W2415587930","https://openalex.org/W2520471445","https://openalex.org/W2592729202","https://openalex.org/W2623776388","https://openalex.org/W2782619742","https://openalex.org/W2790409298","https://openalex.org/W2794622599","https://openalex.org/W2865040424","https://openalex.org/W6633497745","https://openalex.org/W6747830688","https://openalex.org/W6753276244"],"related_works":["https://openalex.org/W1589419489","https://openalex.org/W4229543669","https://openalex.org/W2074765259","https://openalex.org/W1783185948","https://openalex.org/W1554029525","https://openalex.org/W2999505641","https://openalex.org/W2401866201","https://openalex.org/W2945629533","https://openalex.org/W615772105","https://openalex.org/W2013631688"],"abstract_inverted_index":{"Computer-aided":[0],"diagnosis":[1],"(CAD)":[2],"has":[3],"great":[4],"potential":[5],"in":[6,22,26,53,77,108,119,133],"providing":[7],"real":[8],"benefits":[9],"to":[10,79],"doctors":[11],"and":[12,86,112,143],"patients.":[13],"Recent":[14],"studies":[15],"have,":[16],"however,":[17],"found":[18],"lack":[19,38],"of":[20,32,39,50,56,74,110,121],"trust":[21],"CAD":[23],"by":[24],"radiologists":[25],"clinical":[27],"diagnostic":[28],"decision":[29],"making.":[30],"One":[31],"the":[33,37,47,54,89,127,136],"main":[34],"reasons":[35],"is":[36],"an":[40],"appropriate":[41],"confidence":[42,52,73,122,128],"measure.":[43],"This":[44],"paper":[45],"presents":[46],"first-ever":[48],"study":[49],"classification":[51,64,75],"context":[55],"breast":[57,67],"mass":[58,68],"classification.":[59],"We":[60,124],"evaluated":[61],"11":[62],"state-of-the-art":[63],"algorithms":[65],"on":[66],"image":[69],"data":[70],"using":[71],"their":[72,114],"metric,":[76],"addition":[78],"other":[80],"standard":[81],"evaluation":[82],"metrics":[83,139],"including":[84],"accuracy":[85,111,142],"area":[87],"under":[88],"curve":[90],"(ROC).":[91],"Experimental":[92],"results":[93,102],"show":[94],"that":[95,126],"although":[96],"most":[97],"classifiers":[98],"produced":[99],"very":[100],"similar":[101],"with":[103,135],"less":[104],"than":[105],"2%":[106],"difference":[107],"terms":[109,120],"ROC,":[113],"performances":[115],"are":[116],"significantly":[117],"different":[118],"levels.":[123],"suggest":[125],"measure":[129],"should":[130],"be":[131],"used":[132],"conjunction":[134],"existing":[137],"performance":[138],"such":[140],"as":[141],"ROC.":[144]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}