{"id":"https://openalex.org/W3164550676","doi":"https://doi.org/10.1109/isbi48211.2021.9434119","title":"Using uncertainty estimation to reduce false positives in liver lesion detection","display_name":"Using uncertainty estimation to reduce false positives in liver lesion detection","publication_year":2021,"publication_date":"2021-05-25","ids":{"openalex":"https://openalex.org/W3164550676","doi":"https://doi.org/10.1109/isbi48211.2021.9434119","mag":"3164550676"},"language":"en","primary_location":{"id":"pmh:oai:pure.tue.nl:openaire/ba881a82-d5c1-4aff-99a1-f614d189639a","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/ba881a82-d5c1-4aff-99a1-f614d189639a","pdf_url":null,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bhat, I, Kuijf, H J, Cheplygina, V & Pluim, J P W 2021, Using uncertainty estimation to reduce false positives in liver lesion detection. in 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021., 9434119, Institute of Electrical and Electronics Engineers, pp. 663-667, 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, 13/04/21. https://doi.org/10.1109/ISBI48211.2021.9434119","raw_type":"info:eu-repo/semantics/publishedVersion"},"type":"article","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.tue.nl/en/publications/ba881a82-d5c1-4aff-99a1-f614d189639a","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070354283","display_name":"Ishaan Bhat","orcid":"https://orcid.org/0000-0002-4398-018X"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]},{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Bhat, Ishaan","raw_affiliation_strings":["Utrecht University","Image Sciences Institute University Medical Center  Utrecht the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utrecht University","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Image Sciences Institute University Medical Center  Utrecht the Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078692612","display_name":"Hugo J. Kuijf","orcid":"https://orcid.org/0000-0001-6997-9059"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]},{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Kuijf, Hugo J.","raw_affiliation_strings":["Utrecht University","Image Sciences Institute University Medical Center  Utrecht the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utrecht University","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Image Sciences Institute University Medical Center  Utrecht the Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031371103","display_name":"Veronika Cheplygina","orcid":"https://orcid.org/0000-0003-0176-9324"},"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":"Cheplygina, Veronika","raw_affiliation_strings":["Medical Image Analysis","Eindhoven University of Technology, Department of Biomedical Engineering, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Image Analysis","institution_ids":[]},{"raw_affiliation_string":"Eindhoven University of Technology, Department of Biomedical Engineering, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057583165","display_name":"Josien P. W. Pluim","orcid":"https://orcid.org/0000-0001-7327-9178"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]},{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]},{"id":"https://openalex.org/I4210149743","display_name":"Sinai Health System","ror":"https://ror.org/05j8naw58","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210149743"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Pluim, Josien P.W.","raw_affiliation_strings":["EAISI Health","Medical Image Analysis","Utrecht University","Eindhoven University of Technology, The Netherlands","Image Sciences Institute, University Medical Center Utrecht, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EAISI Health","institution_ids":["https://openalex.org/I4210149743"]},{"raw_affiliation_string":"Medical Image Analysis","institution_ids":[]},{"raw_affiliation_string":"Utrecht University","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Image Sciences Institute, University Medical Center Utrecht, The Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070354283"],"corresponding_institution_ids":["https://openalex.org/I193662353","https://openalex.org/I3018483916"],"apc_list":null,"apc_paid":null,"fwci":0.8356,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72397634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9941999912261963,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9941999912261963,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9904000163078308,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9894999861717224,"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/false-positive-paradox","display_name":"False positive paradox","score":0.9116566181182861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7793391942977905},{"id":"https://openalex.org/keywords/true-positive-rate","display_name":"True positive rate","score":0.6715871095657349},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6626510620117188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6612665057182312},{"id":"https://openalex.org/keywords/false-positive-rate","display_name":"False positive rate","score":0.6317096948623657},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6141998767852783},{"id":"https://openalex.org/keywords/false-positives-and-false-negatives","display_name":"False positives and false negatives","score":0.5225719213485718},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5136911273002625},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48790785670280457},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.43034395575523376},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.41239774227142334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36319592595100403}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.9116566181182861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7793391942977905},{"id":"https://openalex.org/C2989486834","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"True positive rate","level":2,"score":0.6715871095657349},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6626510620117188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6612665057182312},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.6317096948623657},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6141998767852783},{"id":"https://openalex.org/C112789634","wikidata":"https://www.wikidata.org/wiki/Q18207010","display_name":"False positives and false negatives","level":3,"score":0.5225719213485718},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5136911273002625},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48790785670280457},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.43034395575523376},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.41239774227142334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36319592595100403}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:pure.tue.nl:openaire/ba881a82-d5c1-4aff-99a1-f614d189639a","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/ba881a82-d5c1-4aff-99a1-f614d189639a","pdf_url":null,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bhat, I, Kuijf, H J, Cheplygina, V & Pluim, J P W 2021, Using uncertainty estimation to reduce false positives in liver lesion detection. in 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021., 9434119, Institute of Electrical and Electronics Engineers, pp. 663-667, 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, 13/04/21. https://doi.org/10.1109/ISBI48211.2021.9434119","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire/ba881a82-d5c1-4aff-99a1-f614d189639a","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/ba881a82-d5c1-4aff-99a1-f614d189639a","pdf_url":null,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bhat, I, Kuijf, H J, Cheplygina, V & Pluim, J P W 2021, Using uncertainty estimation to reduce false positives in liver lesion detection. in 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021., 9434119, Institute of Electrical and Electronics Engineers, pp. 663-667, 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, 13/04/21. https://doi.org/10.1109/ISBI48211.2021.9434119","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325600","display_name":"ITEA3","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2103328396","https://openalex.org/W2347031450","https://openalex.org/W2412782625","https://openalex.org/W2626967530","https://openalex.org/W2748598167","https://openalex.org/W2774764242","https://openalex.org/W2806861199","https://openalex.org/W2810337461","https://openalex.org/W2887926055","https://openalex.org/W2892924241","https://openalex.org/W2963238274","https://openalex.org/W2964059111","https://openalex.org/W2964121744","https://openalex.org/W2964212410","https://openalex.org/W2964218260","https://openalex.org/W2970859221","https://openalex.org/W2971561076","https://openalex.org/W3015910149","https://openalex.org/W3098712157","https://openalex.org/W3104672182","https://openalex.org/W4289766026"],"related_works":["https://openalex.org/W2027184711","https://openalex.org/W3119537175","https://openalex.org/W2951146195","https://openalex.org/W4292605373","https://openalex.org/W3123215897","https://openalex.org/W2810356275","https://openalex.org/W2170632505","https://openalex.org/W2153600354","https://openalex.org/W2891960566","https://openalex.org/W4289548205"],"abstract_inverted_index":{"Despite":[0],"the":[1,46,50,56,62,77,86,93,98,111],"successes":[2],"of":[3,49,58,64,70,79,83,89,105],"deep":[4],"learning":[5],"techniques":[6],"at":[7],"detecting":[8],"objects":[9],"in":[10,92,110],"medical":[11],"images,":[12],"false":[13,29,90,107],"positive":[14,30],"detections":[15,31,109],"occur":[16],"which":[17],"may":[18],"hinder":[19],"an":[20],"accurate":[21],"diagnosis.":[22],"We":[23,54,74],"propose":[24],"a":[25,34,38,68,80],"technique":[26],"to":[27],"reduce":[28],"made":[32],"by":[33],"neural":[35,51,94],"network":[36,52,95],"using":[37],"SVM":[39],"classifier":[40,100],"trained":[41,99],"with":[42],"features":[43],"derived":[44],"from":[45],"uncertainty":[47],"map":[48],"prediction.":[53],"demonstrate":[55],"effectiveness":[57],"this":[59],"method":[60],"for":[61],"detection":[63],"liver":[65],"lesions":[66],"on":[67],"dataset":[69],"abdominal":[71],"MR":[72],"images.":[73],"find":[75],"that":[76],"use":[78],"dropout":[81],"rate":[82],"0.5":[84],"produces":[85],"least":[87],"number":[88],"positives":[91,108],"predictions":[96],"and":[97],"filters":[101],"out":[102],"approximately":[103],"90%":[104],"these":[106],"test-set.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}