{"id":"https://openalex.org/W4416382300","doi":"https://doi.org/10.62036/isd.2025.74","title":"Persistent Misclassification Analysis for Improving Thyroid Cancer Classification from Ultrasound Images","display_name":"Persistent Misclassification Analysis for Improving Thyroid Cancer Classification from Ultrasound Images","publication_year":2025,"publication_date":"2025-11-17","ids":{"openalex":"https://openalex.org/W4416382300","doi":"https://doi.org/10.62036/isd.2025.74"},"language":null,"primary_location":{"id":"doi:10.62036/isd.2025.74","is_oa":true,"landing_page_url":"https://doi.org/10.62036/isd.2025.74","pdf_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1753&context=isd2014","source":{"id":"https://openalex.org/S4404677940","display_name":"Proceedings of the International Conference on Information Systems Development","issn_l":"2938-5202","issn":["2938-5202"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Systems Development","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1753&context=isd2014","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073757727","display_name":"Mariusz Rafa\u0142o","orcid":"https://orcid.org/0000-0002-4868-3571"},"institutions":[{"id":"https://openalex.org/I18193975","display_name":"SGH Warsaw School of Economics","ror":"https://ror.org/032cph770","country_code":"PL","type":"education","lineage":["https://openalex.org/I18193975"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Mariusz Rafalo","raw_affiliation_strings":["Warsaw School of Economics, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw School of Economics, Poland","institution_ids":["https://openalex.org/I18193975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077116293","display_name":"Agnieszka \u017by\u0142ka","orcid":"https://orcid.org/0000-0001-5271-541X"},"institutions":[{"id":"https://openalex.org/I4210150880","display_name":"The Maria Sklodowska-Curie National Research Institute of Oncology","ror":"https://ror.org/04qcjsm24","country_code":"PL","type":"healthcare","lineage":["https://openalex.org/I4210150880"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Agnieszka Zylka","raw_affiliation_strings":["Maria Sklodowska-Curie National Research Institute of Oncology, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maria Sklodowska-Curie National Research Institute of Oncology, Poland","institution_ids":["https://openalex.org/I4210150880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31627335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.45260000228881836,"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":0.45260000228881836,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.1428000032901764,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T10329","display_name":"Thyroid Cancer Diagnosis and Treatment","score":0.1379999965429306,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6452000141143799},{"id":"https://openalex.org/keywords/thyroid-cancer","display_name":"Thyroid cancer","score":0.5608000159263611},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5171999931335449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4189000129699707},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.41510000824928284},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.336899995803833}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6452000141143799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6098999977111816},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5770000219345093},{"id":"https://openalex.org/C2779761222","wikidata":"https://www.wikidata.org/wiki/Q826522","display_name":"Thyroid cancer","level":3,"score":0.5608000159263611},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.5184000134468079},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5171999931335449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4187999963760376},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41510000824928284},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C526584372","wikidata":"https://www.wikidata.org/wiki/Q16399","display_name":"Thyroid","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30570000410079956},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C3020132585","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic accuracy","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.62036/isd.2025.74","is_oa":true,"landing_page_url":"https://doi.org/10.62036/isd.2025.74","pdf_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1753&context=isd2014","source":{"id":"https://openalex.org/S4404677940","display_name":"Proceedings of the International Conference on Information Systems Development","issn_l":"2938-5202","issn":["2938-5202"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Systems Development","raw_type":"proceedings-article"},{"id":"pmh:oai:aisel.aisnet.org:isd2014-1753","is_oa":false,"landing_page_url":"https://aisel.aisnet.org/isd2014/proceedings2025/datascience/44","pdf_url":null,"source":{"id":"https://openalex.org/S30879505","display_name":"Journal of the Association for Information Systems","issn_l":"1536-9323","issn":["1536-9323"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310321080","host_organization_name":"Association for Information Systems","host_organization_lineage":["https://openalex.org/P4310321080"],"host_organization_lineage_names":["Association for Information Systems"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the International Conference on Information Systems Development (ISD)","raw_type":"text"}],"best_oa_location":{"id":"doi:10.62036/isd.2025.74","is_oa":true,"landing_page_url":"https://doi.org/10.62036/isd.2025.74","pdf_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1753&context=isd2014","source":{"id":"https://openalex.org/S4404677940","display_name":"Proceedings of the International Conference on Information Systems Development","issn_l":"2938-5202","issn":["2938-5202"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Systems Development","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416382300.pdf","grobid_xml":"https://content.openalex.org/works/W4416382300.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,71],"present":[1],"an":[2,46,77],"approach":[3],"for":[4,92,111],"identifying":[5],"persistently":[6],"misclassified":[7,35],"images":[8,16,33],"in":[9,103,120],"real-world":[10],"thyroid":[11,18],"ultrasound":[12],"data.":[13],"Using":[14],"484":[15],"of":[17,80,84,100,123],"nodules,":[19],"we":[20],"evaluated":[21],"four":[22],"different":[23],"convolutional":[24],"neural":[25],"network":[26],"architectures.":[27],"Persistent":[28],"misclassification":[29,75],"is":[30,76,90],"defined":[31],"as":[32],"repeatedly":[34],"across":[36],"models":[37],"and":[38,49,97],"cross-validation":[39],"folds.":[40],"These":[41],"cases":[42,89],"are":[43],"validated":[44],"by":[45],"experienced":[47],"radiologist":[48],"subjected":[50],"to":[51],"Grad-CAM":[52],"analysis.":[53],"Results":[54],"confirm":[55],"that":[56,58,73],"images,":[57],"have":[59],"negative":[60],"impact":[61],"on":[62],"model":[63,85,95],"results,":[64],"often":[65],"exhibit":[66],"atypical":[67],"or":[68],"ambiguous":[69],"features.":[70],"emphasize":[72],"persistent":[74],"important":[78],"source":[79],"diagnostic":[81],"error,":[82],"independent":[83],"choice.":[86],"Recognizing":[87],"misleading":[88],"crucial":[91],"dataset":[93],"quality,":[94],"robustness":[96],"the":[98,109,121],"trustworthiness":[99],"AI":[101],"systems":[102],"clinical":[104],"applications.":[105],"This":[106],"work":[107],"highlights":[108],"need":[110],"incorporation":[112],"data":[113],"validation":[114],"strategies":[115],"alongside":[116],"standard":[117],"performance":[118],"metrics":[119],"development":[122],"deep":[124],"learning":[125],"models.":[126]},"counts_by_year":[],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-11-19T00:00:00"}
