{"id":"https://openalex.org/W4410737594","doi":"https://doi.org/10.1109/tip.2025.3571672","title":"STPNet: Scale-Aware Text Prompt Network for Medical Image Segmentation","display_name":"STPNet: Scale-Aware Text Prompt Network for Medical Image Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410737594","doi":"https://doi.org/10.1109/tip.2025.3571672","pmid":"https://pubmed.ncbi.nlm.nih.gov/40418604"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3571672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3571672","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hull-repository.worktribe.com/file/5176767/1/Accepted%20manuscript","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101839943","display_name":"Dandan Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Shan","raw_affiliation_strings":["Institute of Artificial Intelligence, Xiamen University, Xiamen, China","Center for Digital Media Computing, School of Film, and Institute of Artificial Intelligence, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0009-0002-6389-7428","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Center for Digital Media Computing, School of Film, and Institute of Artificial Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102596781","display_name":"Zihan Li","orcid":"https://orcid.org/0009-0008-0027-7145"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zihan Li","raw_affiliation_strings":["Department of Bioengineering, University of Washington, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690428","display_name":"Yunxiang Li","orcid":"https://orcid.org/0000-0003-0622-4710"},"institutions":[{"id":"https://openalex.org/I4210096815","display_name":"Southwestern Medical Center","ror":"https://ror.org/00t9vx427","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210096815"]},{"id":"https://openalex.org/I4388891891","display_name":"Southwestern Medical Center","ror":"https://ror.org/05d80e146","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I4388891891"]},{"id":"https://openalex.org/I867280407","display_name":"The University of Texas Southwestern Medical Center","ror":"https://ror.org/05byvp690","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I867280407"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunxiang Li","raw_affiliation_strings":["Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-0622-4710","affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA","institution_ids":["https://openalex.org/I867280407","https://openalex.org/I4210096815","https://openalex.org/I4388891891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052847739","display_name":"Qingde Li","orcid":"https://orcid.org/0000-0001-5998-7565"},"institutions":[{"id":"https://openalex.org/I191240316","display_name":"University of Hull","ror":"https://ror.org/04nkhwh30","country_code":"GB","type":"education","lineage":["https://openalex.org/I191240316"]},{"id":"https://openalex.org/I4210146155","display_name":"Hull Lifesaving Museum","ror":"https://ror.org/04dheyn57","country_code":"US","type":"archive","lineage":["https://openalex.org/I4210146155"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Qingde Li","raw_affiliation_strings":["Department of Computer Science, University of Hull, Hull, U.K","Department of Computer Science, University of Hull, Hull, UK"],"raw_orcid":"https://orcid.org/0000-0001-5998-7565","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Hull, Hull, U.K","institution_ids":["https://openalex.org/I191240316","https://openalex.org/I4210146155"]},{"raw_affiliation_string":"Department of Computer Science, University of Hull, Hull, UK","institution_ids":["https://openalex.org/I191240316"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429270","display_name":"Jie Tian","orcid":"https://orcid.org/0000-0003-0498-0432"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tian","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China","Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0498-0432","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102714385","display_name":"Qingqi Hong","orcid":"https://orcid.org/0000-0002-9996-6870"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqi Hong","raw_affiliation_strings":["Center for Digital Media Computing, School of Film, the National Institute for Data Science in Health and Medicine, and the Institute of Artificial Intelligence, Xiamen University, Xiamen, China","Center for Digital Media Computing, School of Film, and Institute of Artificial Intelligence, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-9996-6870","affiliations":[{"raw_affiliation_string":"Center for Digital Media Computing, School of Film, the National Institute for Data Science in Health and Medicine, and the Institute of Artificial Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Center for Digital Media Computing, School of Film, and Institute of Artificial Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":25.3186,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.99456555,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"34","issue":null,"first_page":"3169","last_page":"3180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9710000157356262,"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":0.9710000157356262,"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":0.955299973487854,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9404000043869019,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6856371164321899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6848519444465637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6011731028556824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5267906785011292},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4968867599964142},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4935215711593628},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4649442732334137},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45539894700050354},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4513099789619446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3583642244338989}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6856371164321899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848519444465637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6011731028556824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5267906785011292},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4968867599964142},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4935215711593628},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4649442732334137},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45539894700050354},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4513099789619446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3583642244338989},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2025.3571672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3571672","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:40418604","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40418604","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:hull-repository.worktribe.com:5176767","is_oa":true,"landing_page_url":"https://hull-repository.worktribe.com/5176767/1/Accepted%20manuscript","pdf_url":"https://hull-repository.worktribe.com/file/5176767/1/Accepted%20manuscript","source":{"id":"https://openalex.org/S4306400827","display_name":"Repository@Hull (Worktribe) (University of Hull)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I191240316","host_organization_name":"University of Hull","host_organization_lineage":["https://openalex.org/I191240316"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:hull-repository.worktribe.com:5176767","is_oa":true,"landing_page_url":"https://hull-repository.worktribe.com/5176767/1/Accepted%20manuscript","pdf_url":"https://hull-repository.worktribe.com/file/5176767/1/Accepted%20manuscript","source":{"id":"https://openalex.org/S4306400827","display_name":"Repository@Hull (Worktribe) (University of Hull)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I191240316","host_organization_name":"University of Hull","host_organization_lineage":["https://openalex.org/I191240316"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3349088580","display_name":null,"funder_award_id":"62471418","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8792508095","display_name":null,"funder_award_id":"61502402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8918643034","display_name":null,"funder_award_id":"2024J01058","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410737594.pdf","grobid_xml":"https://content.openalex.org/works/W4410737594.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2996290406","https://openalex.org/W2997286550","https://openalex.org/W3014974815","https://openalex.org/W3027763298","https://openalex.org/W3090614604","https://openalex.org/W3126768386","https://openalex.org/W3127751679","https://openalex.org/W3139157980","https://openalex.org/W3147450857","https://openalex.org/W3169965180","https://openalex.org/W3197957534","https://openalex.org/W3201906559","https://openalex.org/W4200631575","https://openalex.org/W4212875960","https://openalex.org/W4214674383","https://openalex.org/W4284966855","https://openalex.org/W4287448984","https://openalex.org/W4289517144","https://openalex.org/W4295915728","https://openalex.org/W4295934721","https://openalex.org/W4302363625","https://openalex.org/W4307287440","https://openalex.org/W4307504011","https://openalex.org/W4321232185","https://openalex.org/W4327704817","https://openalex.org/W4372260366","https://openalex.org/W4382998948","https://openalex.org/W4387211388","https://openalex.org/W4392795030","https://openalex.org/W4402774102","https://openalex.org/W4404840231","https://openalex.org/W6750469568","https://openalex.org/W6761260114","https://openalex.org/W6777714645","https://openalex.org/W6784185929","https://openalex.org/W6789753369","https://openalex.org/W6791353385","https://openalex.org/W6805286955","https://openalex.org/W6849541326","https://openalex.org/W6855205790","https://openalex.org/W6858340613","https://openalex.org/W6870839691","https://openalex.org/W6872311786","https://openalex.org/W6966869944"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W4395685956","https://openalex.org/W3159516372","https://openalex.org/W1522196789","https://openalex.org/W4379141755"],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,15,128],"of":[2,106,133],"lesions":[3],"plays":[4],"a":[5,41,87],"critical":[6],"role":[7],"in":[8,29],"medical":[9,52,89,139],"image":[10,53,140],"analysis":[11],"and":[12,32,65,77,117],"diagnosis.":[13],"Traditional":[14],"approaches":[16],"that":[17,46,122],"rely":[18],"solely":[19],"on":[20,112,148],"visual":[21,76],"features":[22],"often":[23],"struggle":[24],"with":[25],"the":[26,72,95,104,131],"inherent":[27],"uncertainty":[28],"lesion":[30,63],"distribution":[31],"size.":[33],"To":[34],"address":[35],"these":[36],"issues,":[37],"we":[38],"propose":[39],"STPNet,":[40],"Scale-aware":[42],"Text":[43],"Prompt":[44],"Network":[45],"leverages":[47],"vision-language":[48,124],"modeling":[49],"to":[50,61,70],"enhance":[51],"segmentation.":[54],"Our":[55],"approach":[56,125],"utilizes":[57],"multi-scale":[58],"textual":[59,84,135],"descriptions":[60],"guide":[62],"localization":[64],"employs":[66],"retrieval-segmentation":[67],"joint":[68],"learning":[69],"bridge":[71],"semantic":[73,136],"gap":[74],"between":[75],"linguistic":[78],"modalities.":[79],"Crucially,":[80],"STPNet":[81,111],"retrieves":[82],"relevant":[83],"information":[85],"from":[86],"specialized":[88],"text":[90,98],"repository":[91],"during":[92,100],"training,":[93],"eliminating":[94],"need":[96],"for":[97],"input":[99],"inference":[101],"while":[102],"retaining":[103],"benefits":[105],"cross-modal":[107],"learning.":[108],"We":[109],"evaluate":[110],"three":[113],"datasets:":[114],"COVID-Xray,":[115],"COVID-CT,":[116],"Kvasir-SEG.":[118],"Experimental":[119],"results":[120],"show":[121],"our":[123],"outperforms":[126],"state-of-the-art":[127],"methods,":[129],"demonstrating":[130],"effectiveness":[132],"incorporating":[134],"knowledge":[137],"into":[138],"analysis.":[141],"The":[142],"code":[143],"has":[144],"been":[145],"made":[146],"publicly":[147],"https://github.com/HUANGLIZI/STPNet.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
