{"id":"https://openalex.org/W4213000275","doi":"https://doi.org/10.1117/12.2606801","title":"Colorectal polyp classification using confidence-calibrated convolutional neural networks","display_name":"Colorectal polyp classification using confidence-calibrated convolutional neural networks","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W4213000275","doi":"https://doi.org/10.1117/12.2606801"},"language":"en","primary_location":{"id":"doi:10.1117/12.2606801","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2606801","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.tue.nl/ws/files/199989084/SPIEMed2022_Manuscript_KoenKusters.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Koen C. Kusters","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Koen C. Kusters","raw_affiliation_strings":["Technische Univ. Eindhoven (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Technische Univ. Eindhoven (Netherlands)","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028718177","display_name":"Thom Scheeve","orcid":"https://orcid.org/0000-0002-8288-0368"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Thom Scheeve","raw_affiliation_strings":["Technische Univ. Eindhoven (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Technische Univ. Eindhoven (Netherlands)","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112839926","display_name":"Nikoo Dehghani","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nikoo Dehghani","raw_affiliation_strings":["Technische Univ. Eindhoven (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Technische Univ. Eindhoven (Netherlands)","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080691056","display_name":"Quirine E. van der Zander","orcid":null},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Quirine E. van der Zander","raw_affiliation_strings":["GROW, School for Oncology and Developmental Biology (Netherlands)","Maastricht Univ. Medical Ctr. (Netherlands)"],"affiliations":[{"raw_affiliation_string":"GROW, School for Oncology and Developmental Biology (Netherlands)","institution_ids":[]},{"raw_affiliation_string":"Maastricht Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071367760","display_name":"Ramon-Michel Schreuder","orcid":"https://orcid.org/0000-0002-0400-7387"},"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"]},{"id":"https://openalex.org/I2801238018","display_name":"Catharina Ziekenhuis","ror":"https://ror.org/01qavk531","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2801238018"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ramon-Michel Schreuder","raw_affiliation_strings":["Catharina Hospital (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Catharina Hospital (Netherlands)","institution_ids":["https://openalex.org/I2801238018","https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001770368","display_name":"Ad Masclee","orcid":"https://orcid.org/0000-0001-5819-0116"},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ad A. Masclee","raw_affiliation_strings":["Maastricht Univ. Medical Ctr. (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Maastricht Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025611672","display_name":"Erik J. Schoon","orcid":"https://orcid.org/0000-0003-4515-1235"},"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"]},{"id":"https://openalex.org/I2801238018","display_name":"Catharina Ziekenhuis","ror":"https://ror.org/01qavk531","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2801238018"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Erik J. Schoon","raw_affiliation_strings":["Catharina Hospital (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Catharina Hospital (Netherlands)","institution_ids":["https://openalex.org/I2801238018","https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075677746","display_name":"Fons van der Sommen","orcid":"https://orcid.org/0000-0002-3593-2356"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Fons van der Sommen","raw_affiliation_strings":["Eindhoven Artificial Intelligence Systems Institute (Netherlands)","Technische Univ. Eindhoven (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Eindhoven Artificial Intelligence Systems Institute (Netherlands)","institution_ids":[]},{"raw_affiliation_string":"Technische Univ. Eindhoven (Netherlands)","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029008213","display_name":"Peter H. N. de With","orcid":"https://orcid.org/0000-0002-7639-7716"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter H. N. de With","raw_affiliation_strings":["Technische Univ. Eindhoven (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Technische Univ. Eindhoven (Netherlands)","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":2.6676,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94275492,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"84","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9945999979972839,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9945999979972839,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10862","display_name":"AI in cancer detection","score":0.973800003528595,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6995643377304077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.699354887008667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5362367630004883},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4294969141483307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4166819155216217},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16984742879867554}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6995643377304077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699354887008667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5362367630004883},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4294969141483307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4166819155216217},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16984742879867554}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2606801","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2606801","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire/364511c7-4998-420b-bb8c-3ef79973b119","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/364511c7-4998-420b-bb8c-3ef79973b119","pdf_url":"https://pure.tue.nl/ws/files/199989084/SPIEMed2022_Manuscript_KoenKusters.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Kusters, K, Scheeve, T, Dehghani, N, van der Sommen, F & de With, P H N (ed.) 2022, Colorectal polyp classification using confidence-calibrated convolutional neural networks. in K Drukker & K M Iftekharuddin (eds), Medical Imaging 2022 : Computer-Aided Diagnosis., 120331P, Proceedings of SPIE, vol. 12033, SPIE, pp. 442-454, Medical Imaging 2022: Computer-Aided Diagnosis, Virtual, Online, 21/03/22. https://doi.org/10.1117/12.2606801","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:tue:oai:pure.tue.nl:publications/364511c7-4998-420b-bb8c-3ef79973b119","is_oa":true,"landing_page_url":"https://research.tue.nl/nl/publications/364511c7-4998-420b-bb8c-3ef79973b119","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis, 442 - 454","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire/364511c7-4998-420b-bb8c-3ef79973b119","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/364511c7-4998-420b-bb8c-3ef79973b119","pdf_url":"https://pure.tue.nl/ws/files/199989084/SPIEMed2022_Manuscript_KoenKusters.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Kusters, K, Scheeve, T, Dehghani, N, van der Sommen, F & de With, P H N (ed.) 2022, Colorectal polyp classification using confidence-calibrated convolutional neural networks. in K Drukker & K M Iftekharuddin (eds), Medical Imaging 2022 : Computer-Aided Diagnosis., 120331P, Proceedings of SPIE, vol. 12033, SPIE, pp. 442-454, Medical Imaging 2022: Computer-Aided Diagnosis, Virtual, Online, 21/03/22. https://doi.org/10.1117/12.2606801","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4213000275.pdf","grobid_xml":"https://content.openalex.org/works/W4213000275.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W2019397787","https://openalex.org/W2055082612","https://openalex.org/W2058333183","https://openalex.org/W2108598243","https://openalex.org/W2541669745","https://openalex.org/W2560014990","https://openalex.org/W2626967530","https://openalex.org/W2755087487","https://openalex.org/W2762406675","https://openalex.org/W2765527079","https://openalex.org/W2786689336","https://openalex.org/W2920841295","https://openalex.org/W2955307542","https://openalex.org/W2955425717","https://openalex.org/W2959707910","https://openalex.org/W2981861180","https://openalex.org/W2989631244","https://openalex.org/W2999493547","https://openalex.org/W3000028066","https://openalex.org/W3007710099","https://openalex.org/W3008258421","https://openalex.org/W3009963727","https://openalex.org/W3013377280","https://openalex.org/W3041553411","https://openalex.org/W3044747827","https://openalex.org/W3084285228","https://openalex.org/W3130813041","https://openalex.org/W3203505405","https://openalex.org/W4206759694","https://openalex.org/W4232558381","https://openalex.org/W4247950230","https://openalex.org/W4285721466","https://openalex.org/W6676297131","https://openalex.org/W6681928485","https://openalex.org/W6739651123","https://openalex.org/W6759676207","https://openalex.org/W6762718338","https://openalex.org/W6769446153","https://openalex.org/W6774362856","https://openalex.org/W6774632024","https://openalex.org/W6782361975","https://openalex.org/W6783449658","https://openalex.org/W6784160015"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661"],"abstract_inverted_index":{"Computer-Aided":[0],"Diagnosis":[1],"(CADx)":[2],"systems":[3,240],"for":[4,62,104,146,213,241],"in-vivo":[5,242],"characterization":[6,63],"of":[7,15,48,56,64,83,111,232],"Colorectal":[8,16],"Polyps":[9],"(CRPs)":[10],"which":[11],"are":[12,102],"precursor":[13],"lesions":[14],"Cancer":[17],"(CRC),":[18],"can":[19,121],"assist":[20,246],"clinicians":[21,247],"with":[22,216],"diagnosis":[23],"and":[24,92,141,163,177,237],"better":[25,220],"informed":[26],"decisionmaking":[27],"during":[28,248],"colonoscopy":[29,249],"procedures.":[30,250],"Current":[31],"deep":[32],"learning-based":[33],"state-of-the-art":[34],"solutions":[35],"achieve":[36],"a":[37,57,193],"high":[38],"classification":[39,106,196,215,225],"performance,":[40],"but":[41],"lack":[42],"measures":[43],"to":[44,107,201,245],"increase":[45],"the":[46,54,79,84,109,112,118,147,170,174,178,202,210],"reliability":[47,55],"such":[49],"systems.":[50],"In":[51],"this":[52],"paper,":[53],"Convolutional":[58],"Neural":[59],"Network":[60],"(CNN)":[61],"CRPs":[65],"is":[66,198],"specifically":[67],"addressed":[68],"by":[69,90,124,184],"confidence":[70,94,110,217],"calibration.":[71],"Well-calibrated":[72],"models":[73],"produce":[74],"classification-confidence":[75],"scores":[76],"that":[77,117,209],"reflect":[78],"actual":[80],"correctness":[81],"likelihood":[82],"model,":[85],"thereby":[86],"supporting":[87],"reliable":[88,236],"predictions":[89,222],"trustworthy":[91],"informative":[93],"scores.":[95],"Two":[96],"recently":[97],"proposed":[98,113,211],"trainable":[99],"calibration":[100,218],"methods":[101],"explored":[103],"CRP":[105,214],"calibrate":[108],"CNN.":[114],"We":[115],"show":[116,208],"confidence-calibration":[119],"error":[120],"be":[122],"decreased":[123],"33.86%":[125],"(\u22120.01648":[126],"&plusmn;":[127,131,135,139,144,187],"0.01085),":[128],"48.33%":[129],"(\u22120.04415":[130],"0.01731),":[132],"50.57%":[133],"(\u22120.11423":[134],"0.00680),":[136],"61.68%":[137],"(\u22120.01553":[138],"0.00204)":[140],"48.27%":[142],"(\u22120.22074":[143],"0.08652)":[145],"Expected":[148],"Calibration":[149,153,157,165],"Error":[150,154,158,161,166],"(ECE),":[151],"Average":[152],"(ACE),":[155],"Maximum":[156],"(MCE),":[159],"Over-Confidence":[160],"(OE)":[162],"Cumulative":[164],"(CUMU),":[167],"respectively.":[168],"Moreover,":[169],"absolute":[171],"difference":[172],"between":[173],"average":[175],"entropy":[176,180],"expected":[179],"was":[181],"considerably":[182],"reduced":[183],"32.00%":[185],"(\u22120.04374":[186],"0.01238)":[188],"on":[189],"average.":[190],"Furthermore,":[191],"even":[192],"slightly":[194],"improved":[195],"performance":[197],"observed,":[199],"compared":[200],"uncalibrated":[203],"equivalent.":[204],"The":[205],"obtained":[206],"results":[207],"model":[212],"produces":[219],"calibrated":[221],"without":[223],"sacrificing":[224],"performance.":[226],"This":[227],"work":[228],"shows":[229],"promising":[230],"points":[231],"engagement":[233],"towards":[234],"obtaining":[235],"well-calibrated":[238],"CADx":[239],"polyp":[243],"characterization,":[244]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
