{"id":"https://openalex.org/W4415593592","doi":"https://doi.org/10.1109/lsp.2025.3625126","title":"Structured Prompt-Guided Segmentation of Enhanced CT Images for Predicting Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma","display_name":"Structured Prompt-Guided Segmentation of Enhanced CT Images for Predicting Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W4415593592","doi":"https://doi.org/10.1109/lsp.2025.3625126"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2025.3625126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3625126","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-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":null,"display_name":"Lei Xu","orcid":"https://orcid.org/0009-0002-8776-753X"},"institutions":[{"id":"https://openalex.org/I111381250","display_name":"Hebei Medical University","ror":"https://ror.org/04eymdx19","country_code":"CN","type":"education","lineage":["https://openalex.org/I111381250"]},{"id":"https://openalex.org/I4210110525","display_name":"Hebei General Hospital","ror":"https://ror.org/01nv7k942","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210110525"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Xu","raw_affiliation_strings":["Department of Surgery, Hebei Medical University, Shijiazhuang, China","Department of Surgery, Hebei Medical University, and the Department of Glandular Surgery, Hebei General Hospital, Shijiazhuang, Hebei Province, China"],"raw_orcid":"https://orcid.org/0009-0002-8776-753X","affiliations":[{"raw_affiliation_string":"Department of Surgery, Hebei Medical University, Shijiazhuang, China","institution_ids":["https://openalex.org/I111381250"]},{"raw_affiliation_string":"Department of Surgery, Hebei Medical University, and the Department of Glandular Surgery, Hebei General Hospital, Shijiazhuang, Hebei Province, China","institution_ids":["https://openalex.org/I4210110525","https://openalex.org/I111381250"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bin Zhang","orcid":"https://orcid.org/0009-0007-9191-9977"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China","School of Software, Dalian University of Technology, Dalian, Liaoning Province, China"],"raw_orcid":"https://orcid.org/0009-0007-9191-9977","affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, Liaoning Province, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119011495","display_name":"Xingyuan Li","orcid":"https://orcid.org/0000-0001-9081-817X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyuan Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang Province, China"],"raw_orcid":"https://orcid.org/0000-0001-9081-817X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang Province, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675904","display_name":"Jinyuan Liu","orcid":"https://orcid.org/0000-0003-2085-2676"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyuan Liu","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China","School of Software, Dalian University of Technology, Dalian, Liaoning Province, China"],"raw_orcid":"https://orcid.org/0000-0003-2085-2676","affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, Liaoning Province, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yanhui Peng","orcid":"https://orcid.org/0000-0003-4492-5155"},"institutions":[{"id":"https://openalex.org/I111381250","display_name":"Hebei Medical University","ror":"https://ror.org/04eymdx19","country_code":"CN","type":"education","lineage":["https://openalex.org/I111381250"]},{"id":"https://openalex.org/I4210110525","display_name":"Hebei General Hospital","ror":"https://ror.org/01nv7k942","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210110525"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhui Peng","raw_affiliation_strings":["Department of Surgery, Hebei Medical University, Shijiazhuang, China","Department of Surgery, Hebei Medical University, and the Department of Hepatobiliary, Pancreatic and Splenic Surgery, Hebei General Hospital, Shijiazhuang, Hebei Province, China"],"raw_orcid":"https://orcid.org/0000-0003-4492-5155","affiliations":[{"raw_affiliation_string":"Department of Surgery, Hebei Medical University, Shijiazhuang, China","institution_ids":["https://openalex.org/I111381250"]},{"raw_affiliation_string":"Department of Surgery, Hebei Medical University, and the Department of Hepatobiliary, Pancreatic and Splenic Surgery, Hebei General Hospital, Shijiazhuang, Hebei Province, China","institution_ids":["https://openalex.org/I4210110525","https://openalex.org/I111381250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111381250","https://openalex.org/I4210110525"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4376536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"5"},"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":0.9955999851226807,"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":0.9955999851226807,"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":0.979200005531311,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9758999943733215,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7563999891281128},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.499099999666214},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4952999949455261},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48249998688697815},{"id":"https://openalex.org/keywords/lymph-node-metastasis","display_name":"Lymph node metastasis","score":0.4575999975204468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4052000045776367},{"id":"https://openalex.org/keywords/thyroid-carcinoma","display_name":"Thyroid carcinoma","score":0.3905999958515167},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.3702000081539154},{"id":"https://openalex.org/keywords/lymph-node","display_name":"Lymph node","score":0.36970001459121704},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.3626999855041504}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7563999891281128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6736000180244446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6320000290870667},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.499099999666214},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4952999949455261},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48249998688697815},{"id":"https://openalex.org/C2992571226","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node metastasis","level":4,"score":0.4575999975204468},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4189000129699707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40799999237060547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4052000045776367},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.39820000529289246},{"id":"https://openalex.org/C2993294228","wikidata":"https://www.wikidata.org/wiki/Q13632630","display_name":"Thyroid carcinoma","level":3,"score":0.3905999958515167},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.3702000081539154},{"id":"https://openalex.org/C2780849966","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C2778549279","wikidata":"https://www.wikidata.org/wiki/Q962200","display_name":"Cervical lymph nodes","level":4,"score":0.33469998836517334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C201645570","wikidata":"https://www.wikidata.org/wiki/Q830637","display_name":"Radiation treatment planning","level":3,"score":0.29409998655319214},{"id":"https://openalex.org/C526584372","wikidata":"https://www.wikidata.org/wiki/Q16399","display_name":"Thyroid","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C2779761222","wikidata":"https://www.wikidata.org/wiki/Q826522","display_name":"Thyroid cancer","level":3,"score":0.28279998898506165},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.27469998598098755},{"id":"https://openalex.org/C2779013556","wikidata":"https://www.wikidata.org/wiki/Q181876","display_name":"Metastasis","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.25360000133514404},{"id":"https://openalex.org/C2777546739","wikidata":"https://www.wikidata.org/wiki/Q33525","display_name":"Carcinoma","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3625126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3625126","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1909740415","https://openalex.org/W1971483095","https://openalex.org/W1990569823","https://openalex.org/W2035453768","https://openalex.org/W2118702900","https://openalex.org/W2148347694","https://openalex.org/W2592929672","https://openalex.org/W2963150697","https://openalex.org/W2963849369","https://openalex.org/W2964317695","https://openalex.org/W2993182889","https://openalex.org/W3024796810","https://openalex.org/W3035358681","https://openalex.org/W3106546328","https://openalex.org/W3113410735","https://openalex.org/W3180169285","https://openalex.org/W4214613769","https://openalex.org/W4283167468","https://openalex.org/W4388823657","https://openalex.org/W4395037541","https://openalex.org/W4402753950","https://openalex.org/W4408800671"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,46,57,128],"of":[2],"metastatic":[3],"lymph":[4],"nodes":[5],"in":[6,14,95,119],"head-and-neck":[7],"CT":[8,110],"is":[9],"crucial":[10],"for":[11],"treatment":[12],"planning":[13],"papillary":[15],"thyroid":[16],"carcinoma.":[17],"Although":[18],"deep":[19],"networks":[20],"have":[21],"advanced":[22],"medical":[23],"image":[24,77],"segmentation,":[25],"most":[26],"existing":[27,125],"methods":[28],"depend":[29],"solely":[30],"on":[31,88,106],"visual":[32],"features":[33,78],"and":[34,63,92,101,122],"neglect":[35],"clinical":[36,51],"semantic":[37,62],"cues.":[38],"In":[39],"this":[40],"work,":[41],"we":[42,66],"propose":[43],"a":[44,55,68,107],"text-guided":[45],"framework":[47],"that":[48,72,113],"introduces":[49],"structured":[50],"baseline":[52],"feature":[53],"into":[54],"YOLOv8-based":[56],"network.":[58],"To":[59],"effectively":[60],"fuse":[61],"spatial":[64],"features,":[65],"design":[67],"cross-modal":[69],"fusion":[70],"mechanism":[71],"aligns":[73],"textual":[74],"embeddings":[75],"with":[76],"at":[79],"multiple":[80],"scales.":[81],"This":[82],"allows":[83],"the":[84],"model":[85],"to":[86],"focus":[87],"diagnostically":[89],"relevant":[90],"regions":[91],"improves":[93],"performance":[94],"challenging":[96],"scenarios":[97],"involving":[98],"low":[99],"contrast":[100],"ambiguous":[102],"boundaries.":[103],"Extensive":[104],"experiments":[105],"multi-center,":[108],"pathology-confirmed":[109],"dataset":[111],"demonstrate":[112],"our":[114],"method":[115],"achieves":[116],"superior":[117],"results":[118],"AP@50,":[120],"mAP@[.5:.95],":[121],"AR@[.5:.95],":[123],"outperforming":[124],"state-of-the-art":[126],"instance":[127],"models.":[129]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-28T00:00:00"}