{"id":"https://openalex.org/W4392902318","doi":"https://doi.org/10.1109/access.2024.3377560","title":"An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer","display_name":"An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392902318","doi":"https://doi.org/10.1109/access.2024.3377560"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3377560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3377560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10472495.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10472495.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021311865","display_name":"Haoming Zhuang","orcid":"https://orcid.org/0000-0001-7835-0578"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoming Zhuang","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114224197","display_name":"Beibei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beibei Li","raw_affiliation_strings":["Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China","institution_ids":["https://openalex.org/I91656880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113091051","display_name":"Jingtong Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingtong Ma","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020542342","display_name":"Patrice Monkam","orcid":"https://orcid.org/0000-0003-3805-9457"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Patrice Monkam","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374757","display_name":"Wei Qian","orcid":"https://orcid.org/0000-0002-9563-721X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Qian","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101589835","display_name":"Dianning He","orcid":"https://orcid.org/0000-0002-0867-6238"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianning He","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021311865"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.5718,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93304669,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"41000","last_page":"41008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9085000157356262,"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":0.9085000157356262,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9014999866485596,"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":0.679356575012207},{"id":"https://openalex.org/keywords/ovarian-cancer","display_name":"Ovarian cancer","score":0.6298730969429016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.480716735124588},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45445042848587036},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.34286263585090637},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.28212568163871765},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.23912736773490906},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16265416145324707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.679356575012207},{"id":"https://openalex.org/C2780427987","wikidata":"https://www.wikidata.org/wiki/Q172341","display_name":"Ovarian cancer","level":3,"score":0.6298730969429016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.480716735124588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45445042848587036},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.34286263585090637},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.28212568163871765},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.23912736773490906},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16265416145324707}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3377560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3377560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10472495.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c324c4cbde7b45d986e5ea405f62b7a7","is_oa":true,"landing_page_url":"https://doaj.org/article/c324c4cbde7b45d986e5ea405f62b7a7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 41000-41008 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3377560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3377560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10472495.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4399999976158142},{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8936435639","display_name":null,"funder_award_id":"82001781","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392902318.pdf","grobid_xml":"https://content.openalex.org/works/W4392902318.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2033976936","https://openalex.org/W2051960191","https://openalex.org/W2053358503","https://openalex.org/W2109255472","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2923414225","https://openalex.org/W2963446712","https://openalex.org/W3029198420","https://openalex.org/W3109870976","https://openalex.org/W3128646645","https://openalex.org/W3138516171","https://openalex.org/W3154216697","https://openalex.org/W3217153199","https://openalex.org/W4210987384","https://openalex.org/W4311137274","https://openalex.org/W4385738473"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Ovarian":[0],"cancer":[1,12,18,33,79],"is":[2,46,61],"one":[3],"of":[4,10,29,42,118,120,149,162],"the":[5,20,40,44,133,147,164,173],"three":[6],"most":[7,21],"common":[8,22],"types":[9],"gynecological":[11],"globally,":[13],"with":[14,75,189],"high-grade":[15,30,76],"serous":[16,31,77],"ovarian":[17,32,78],"being":[19],"and":[23,100,144,151,167,177,187],"aggressive":[24],"histological":[25],"type.":[26],"Guided":[27],"treatment":[28,217],"typically":[34],"involves":[35],"platinum-based":[36],"combination":[37],"chemotherapy,":[38],"necessitating":[39],"assessment":[41],"whether":[43,58],"patient":[45,60],"platinum":[47,62,126,156,206],"resistant.":[48],"This":[49],"study":[50],"proposes":[51],"a":[52,59,97,106,140],"deep":[53,174,199],"learning-based":[54],"method":[55],"to":[56,105,124],"determine":[57],"resistant":[63],"using":[64],"multimodal":[65,179],"positron":[66,113],"emission":[67,114],"tomography/computed":[68,115],"tomography":[69,116],"images.":[70],"In":[71],"total,":[72],"289":[73],"patients":[74],"were":[80,122],"included":[81],"in":[82,128,158,204,208],"this":[83],"study.":[84],"An":[85],"end-to-end":[86],"Squeeze-Excitation\u2013Spatial":[87,134],"Pyramid":[88,102,135,169],"Pooling\u2013Dense":[89,136],"Convolutional":[90,108,137],"Network":[91,138],"model":[92,176],"was":[93,181],"built":[94],"by":[95,183],"adding":[96],"Squeeze-Excitation":[98,165],"Block":[99,166],"Spatial":[101,168],"Pooling":[103,170],"Layer":[104,171],"Dense":[107],"Network.":[109],"Multimodal":[110],"data":[111,180],"from":[112],"images":[117],"regions":[119],"interest":[121],"used":[123],"predict":[125],"resistance":[127,157,207],"patients.":[129,159],"Through":[130],"five-fold":[131],"cross-validation,":[132],"achieved":[139],"high":[141],"accuracy":[142],"rate":[143],"area":[145],"under":[146],"curve":[148],"92.6%":[150],"0.93,":[152],"respectively,":[153],"for":[154],"predicting":[155,205],"The":[160,192],"importance":[161],"incorporating":[163],"into":[172],"learning":[175,200],"considering":[178],"substantiated":[182],"performing":[184],"ablation":[185],"studies":[186],"experiments":[188],"single-modality":[190],"data.":[191],"classification":[193],"results":[194],"indicate":[195],"that":[196],"our":[197],"proposed":[198],"framework":[201],"performs":[202],"better":[203],"patients,":[209],"which":[210],"can":[211],"help":[212],"gynecologists":[213],"make":[214],"more":[215],"appropriate":[216],"decisions.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}