{"id":"https://openalex.org/W4406461166","doi":"https://doi.org/10.1109/bigdata62323.2024.10825439","title":"Evaluating Fairness of Mask R-CNN for Kidney Infection Detection based on Renal Scintigraphy","display_name":"Evaluating Fairness of Mask R-CNN for Kidney Infection Detection based on Renal Scintigraphy","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406461166","doi":"https://doi.org/10.1109/bigdata62323.2024.10825439"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100449263","display_name":"Jiayi Wang","orcid":"https://orcid.org/0000-0002-7785-3381"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayi Wang","raw_affiliation_strings":["ShanghaiTech University,School of Biomedical Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Biomedical Engineering,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070523720","display_name":"Mingyan Wu","orcid":"https://orcid.org/0000-0003-2610-285X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingyan Wu","raw_affiliation_strings":["Central Research Institute UIH Group,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Central Research Institute UIH Group,Shanghai,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006990501","display_name":"Yuhang Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Guo","raw_affiliation_strings":["ShanghaiTech University,School of Biomedical Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Biomedical Engineering,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035491426","display_name":"Ha Wu","orcid":"https://orcid.org/0000-0001-7612-8316"},"institutions":[{"id":"https://openalex.org/I4210159329","display_name":"Children's Hospital of Fudan University","ror":"https://ror.org/05n13be63","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210159329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ha Wu","raw_affiliation_strings":["Children&#x2019;s Hospital of Fudan University,Department of Nuclear Medicine,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Children&#x2019;s Hospital of Fudan University,Department of Nuclear Medicine,Shanghai,China","institution_ids":["https://openalex.org/I4210159329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044889004","display_name":"Zhiyu Wan","orcid":"https://orcid.org/0000-0003-3752-5778"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyu Wan","raw_affiliation_strings":["ShanghaiTech University,School of Biomedical Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Biomedical Engineering,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100449263"],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":0.2095,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52667732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4637","last_page":"4642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9513999819755554,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9203000068664551,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6748143434524536},{"id":"https://openalex.org/keywords/scintigraphy","display_name":"Scintigraphy","score":0.5925346612930298},{"id":"https://openalex.org/keywords/kidney","display_name":"Kidney","score":0.430990993976593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42583513259887695},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.33934342861175537},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2504260838031769},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2375710904598236}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748143434524536},{"id":"https://openalex.org/C2779902710","wikidata":"https://www.wikidata.org/wiki/Q1130465","display_name":"Scintigraphy","level":2,"score":0.5925346612930298},{"id":"https://openalex.org/C2780091579","wikidata":"https://www.wikidata.org/wiki/Q9377","display_name":"Kidney","level":2,"score":0.430990993976593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42583513259887695},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.33934342861175537},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2504260838031769},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2375710904598236}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W94386064","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1819662813","https://openalex.org/W1991946594","https://openalex.org/W1994177122","https://openalex.org/W2063033399","https://openalex.org/W2108598243","https://openalex.org/W2118025696","https://openalex.org/W2124109428","https://openalex.org/W2762198669","https://openalex.org/W2963150697","https://openalex.org/W2966833090","https://openalex.org/W4211230886","https://openalex.org/W4403595827","https://openalex.org/W6603876229","https://openalex.org/W6620707391"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166"],"abstract_inverted_index":{"<sup":[0,50],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1,51],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">99m</sup>Tc-DMSA":[2,52],"renal":[3,53],"scan":[4],"plays":[5],"a":[6,29,49],"crucial":[7],"role":[8],"in":[9,13,25],"assessing":[10],"functional":[11],"abnormalities":[12],"the":[14,37,85,119,126],"kidneys.":[15],"A":[16],"deep":[17],"learning":[18],"model,":[19],"Mask":[20,43,60],"R-CNN,":[21],"showed":[22,58],"much":[23],"promise":[24],"diagnosing":[26],"acute":[27],"pyelonephritis,":[28],"type":[30],"of":[31,42,65,73,87,125],"kidney":[32,82],"infection.":[33],"This":[34],"study":[35],"evaluated":[36],"diagnostic":[38,120],"performance":[39],"and":[40,45,91,122],"fairness":[41,88,123],"R-CNN":[44,47,61,69],"Faster":[46,68],"using":[48],"dataset.":[54],"The":[55],"classification":[56,79],"results":[57],"that":[59,95],"achieved":[62],"an":[63,71],"accuracy":[64,72],"0.89,":[66],"while":[67],"reached":[70],"0.88.":[74],"Both":[75],"models":[76],"demonstrated":[77],"strong":[78],"capabilities":[80,121],"for":[81,105],"conditions.":[83],"Furthermore,":[84],"analysis":[86],"across":[89],"sex":[90],"age":[92],"groups":[93],"indicated":[94],"neither":[96],"model":[97],"exhibited":[98],"significant":[99],"bias,":[100],"thereby":[101],"supporting":[102],"their":[103],"suitability":[104],"clinical":[106],"applications.":[107],"Future":[108],"research":[109],"should":[110],"consider":[111],"integrating":[112],"more":[113],"patient":[114],"data":[115],"to":[116],"further":[117],"enhance":[118],"assessments":[124],"models.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}