{"id":"https://openalex.org/W3194613748","doi":"https://doi.org/10.1109/icip42928.2021.9506144","title":"Explainable Prediction Of Renal Cell Carcinoma From Contrast-Enhanced CT Images Using Deep Convolutional Transfer Learning And The Shapley Additive Explanations Approach","display_name":"Explainable Prediction Of Renal Cell Carcinoma From Contrast-Enhanced CT Images Using Deep Convolutional Transfer Learning And The Shapley Additive Explanations Approach","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194613748","doi":"https://doi.org/10.1109/icip42928.2021.9506144","mag":"3194613748"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/A5034658227","display_name":"Fuchang Han","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuchang Han","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030746614","display_name":"Shenghui Liao","orcid":"https://orcid.org/0000-0002-8872-2117"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghui Liao","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038241690","display_name":"Siming Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siming Yuan","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110695069","display_name":"Renzhong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renzhong Wu","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101883693","display_name":"Yuqian Zhao","orcid":"https://orcid.org/0000-0003-0261-9782"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqian Zhao","raw_affiliation_strings":["Central South University,School of Automation,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Automation,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101508921","display_name":"Yu Xie","orcid":"https://orcid.org/0000-0002-0928-3823"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210115624","display_name":"Hunan Cancer Hospital","ror":"https://ror.org/025020z88","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115624"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xie","raw_affiliation_strings":["School of Medicine of Central South University,Hunan Cancer Hospital,Changsha,China,410083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine of Central South University,Hunan Cancer Hospital,Changsha,China,410083","institution_ids":["https://openalex.org/I4210115624","https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4303,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63469788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"40","issue":null,"first_page":"3802","last_page":"3806"},"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":0.9965000152587891,"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":0.9965000152587891,"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/T10862","display_name":"AI in cancer detection","score":0.9894000291824341,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9628000259399414,"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/contrast","display_name":"Contrast (vision)","score":0.762825608253479},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6544492840766907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6057705879211426},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6047228574752808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5857300162315369},{"id":"https://openalex.org/keywords/renal-cell-carcinoma","display_name":"Renal cell carcinoma","score":0.5838087201118469},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44869494438171387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35714200139045715},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2021683156490326},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1872580647468567}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.762825608253479},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6544492840766907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6057705879211426},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6047228574752808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5857300162315369},{"id":"https://openalex.org/C2777472916","wikidata":"https://www.wikidata.org/wiki/Q1164529","display_name":"Renal cell carcinoma","level":2,"score":0.5838087201118469},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44869494438171387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35714200139045715},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2021683156490326},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1872580647468567}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W30651129","https://openalex.org/W1678356000","https://openalex.org/W2056132907","https://openalex.org/W2097117768","https://openalex.org/W2108694459","https://openalex.org/W2183341477","https://openalex.org/W2295598076","https://openalex.org/W2531409750","https://openalex.org/W2606167931","https://openalex.org/W2770027889","https://openalex.org/W2858745025","https://openalex.org/W2911964244","https://openalex.org/W2917694231","https://openalex.org/W2946760001","https://openalex.org/W2962862931","https://openalex.org/W2963125010","https://openalex.org/W2963446712","https://openalex.org/W2964022491","https://openalex.org/W2999615587","https://openalex.org/W4233341945","https://openalex.org/W6737947904","https://openalex.org/W6750729320","https://openalex.org/W6773007137"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3176438653","https://openalex.org/W3167935049"],"abstract_inverted_index":{"The":[0,72],"prediction":[1,70],"of":[2,40,116,125,142],"renal":[3],"cell":[4],"carcinoma":[5],"(RCC)":[6],"is":[7],"an":[8,67,114,119,140],"important":[9],"cancer":[10],"screening":[11],"step.":[12],"Existing":[13],"state-of-the-art":[14],"methods":[15],"focus":[16],"on":[17,127,144],"developing":[18],"machine/deep":[19],"learning":[20,55],"networks":[21],"with":[22],"one":[23],"or":[24],"more":[25],"optimization":[26],"strategies":[27],"for":[28],"higher":[29],"identification":[30],"accuracies.":[31],"Such":[32],"developments":[33],"ignore":[34],"the":[35,62,75,94,98,105,122,128,135,145],"interpretability":[36],"and":[37,56,65,77,88,118],"clinical":[38],"utility":[39],"models,":[41],"which":[42],"are":[43,90,108],"still":[44],"quite":[45],"opaque":[46],"to":[47,61,92],"clinicians.":[48],"This":[49],"paper":[50],"introduces":[51],"deep":[52],"convolutional":[53],"transfer":[54],"SHapley":[57],"Additive":[58],"exPlanations":[59],"(SHAP)":[60],"classification":[63],"model":[64,73,112,138],"proposes":[66],"explainable":[68],"RCC":[69],"model.":[71],"evaluates":[74],"risks":[76],"benefits":[78],"using":[79],"decision":[80],"curve":[81,123],"analysis":[82],"(DCA).":[83],"Specifically,":[84],"multiscale":[85],"feature":[86],"extraction":[87],"compensation":[89],"proposed":[91],"enrich":[93],"representations.":[95],"By":[96],"combining":[97],"high-importance":[99],"features":[100],"in":[101],"a":[102],"parallel":[103],"manner,":[104],"models\u2019":[106],"performances":[107],"gradually":[109],"enhanced.":[110],"Our":[111],"achieves":[113],"accuracy":[115,141],"73.87%":[117],"area":[120],"under":[121],"(AUC)":[124],"0.8030":[126],"Hunan":[129],"Cancer":[130],"Hospital":[131],"dataset.":[132,148],"To":[133],"demonstrate":[134],"generalizability,":[136],"our":[137],"yields":[139],"99.81%":[143],"public":[146],"COIL-100":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
