{"id":"https://openalex.org/W7125911820","doi":"https://doi.org/10.1109/smc58881.2025.11343253","title":"A Triplet Optimization and Difference Detail Perception Network with Adaptive Feature Enhancement for Radiology Report Generation","display_name":"A Triplet Optimization and Difference Detail Perception Network with Adaptive Feature Enhancement for Radiology Report Generation","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125911820","doi":"https://doi.org/10.1109/smc58881.2025.11343253"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5018445725","display_name":"Yijie Zeng","orcid":"https://orcid.org/0000-0002-8843-0755"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yijie Zeng","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124089457","display_name":"Zhen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Zhang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029502080","display_name":"Wenfeng Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Jiang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124118030","display_name":"Song Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Liu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018445725"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68521547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2150","last_page":"2157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.46140000224113464,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.46140000224113464,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.093299999833107,"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/T11894","display_name":"Radiology practices and education","score":0.08100000023841858,"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/feature","display_name":"Feature (linguistics)","score":0.5871000289916992},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5857999920845032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4754999876022339},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.40540000796318054},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.38999998569488525},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.38960000872612},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.388700008392334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7735000252723694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5900999903678894},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5871000289916992},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5857999920845032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.40540000796318054},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.38999998569488525},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34459999203681946},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3343999981880188},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C149672232","wikidata":"https://www.wikidata.org/wiki/Q337048","display_name":"Adaptive optimization","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28209999203681946},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2768000066280365}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.456234872341156,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2101105183","https://openalex.org/W2152772232","https://openalex.org/W2194775991","https://openalex.org/W2334763311","https://openalex.org/W2575842049","https://openalex.org/W2770165365","https://openalex.org/W2911489562","https://openalex.org/W2963466845","https://openalex.org/W2979861699","https://openalex.org/W2995225687","https://openalex.org/W3104609094","https://openalex.org/W3175737519","https://openalex.org/W3177048142","https://openalex.org/W4281729070","https://openalex.org/W4285108627","https://openalex.org/W4285531589","https://openalex.org/W4315475716","https://openalex.org/W4360604432","https://openalex.org/W4400111549","https://openalex.org/W4406611529","https://openalex.org/W4406947982"],"related_works":[],"abstract_inverted_index":{"The":[0],"generation":[1],"of":[2,12,23,98],"radiation":[3],"reports":[4],"is":[5,52,102],"an":[6,137],"essential":[7],"task":[8],"in":[9,32],"the":[10,69,95,99,171,195,219,225,237],"field":[11],"medical":[13],"artificial":[14],"intelligence":[15],"which":[16],"aims":[17],"to":[18,49,58,88,143,182,200,208,217,224,242],"automatically":[19],"generate":[20],"text":[21],"descriptions":[22],"radiology":[24],"images.":[25],"However,":[26],"there":[27],"are":[28,206],"still":[29],"several":[30],"problems":[31],"this":[33],"task:":[34],"1)":[35],"existing":[36,76],"methods":[37],"lack":[38,71,78],"global":[39,106,146],"feature":[40,130,140],"interaction":[41],"when":[42],"extracting":[43],"image":[44,139,147],"features,":[45],"and":[46,68,123,189,203,232,239],"their":[47],"ability":[48],"represent":[50],"images":[51],"limited;":[53],"2)":[54],"previous":[55],"models":[56,63],"need":[57],"retrieve":[59],"similar":[60],"triplets":[61,70],"input":[62],"from":[64],"pre-constructed":[65],"knowledge":[66],"graphs,":[67],"entity":[72,167],"relationship":[73,168,226],"refinement;":[74],"3)":[75],"approaches":[77],"a":[79,120,152,177,213],"correlation":[80,192],"mechanism":[81,97],"across":[82],"samples":[83,188],"that":[84,157,194,205],"makes":[85],"it":[86],"difficult":[87],"effectively":[89],"capture":[90,145],"small":[91,201],"abnormal":[92,162],"regions;":[93],"4)":[94],"self-attention":[96],"Transformer":[100],"decoder":[101,216,220],"good":[103],"at":[104],"capturing":[105],"dependencies":[107],"but":[108],"ignores":[109],"relationships":[110],"between":[111,186,227],"local":[112,228],"contexts.":[113,229],"To":[114],"address":[115],"these":[116],"issues,":[117],"we":[118,135,150,175,211],"propose":[119,151],"triplet":[121,154],"optimization":[122,155],"difference":[124,178],"detail":[125],"perception":[126],"network":[127],"with":[128,244],"adaptive":[129,138],"enhancement.":[131],"In":[132],"our":[133,234],"model,":[134],"design":[136,176,212],"enhancement":[141,215],"module":[142,156,181],"dynamically":[144],"features.":[148],"Furthermore,":[149],"multi-modal":[153],"boosts":[158],"capability":[159],"for":[160],"detecting":[161],"regions":[163],"by":[164],"incorporating":[165],"context-aware":[166],"refinement":[169],"into":[170],"initial":[172],"triplet.":[173],"Moreover,":[174],"comparison":[179],"weighting":[180],"obtain":[183],"fine-grained":[184],"features":[185],"different":[187],"improve":[190],"cross-sample":[191],"so":[193],"model":[196,235],"pays":[197],"more":[198,222],"attention":[199,223],"details":[202],"anomalies":[204],"easy":[207],"ignore.":[209],"Finally,":[210],"detail-aware":[214],"make":[218],"pay":[221],"We":[230],"experimented":[231],"evaluated":[233],"on":[236],"IU-Xray":[238],"MIMIC-CXR":[240],"datasets":[241],"compare":[243],"other":[245],"baseline":[246],"models.":[247]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-29T00:00:00"}