{"id":"https://openalex.org/W7140237892","doi":"https://doi.org/10.48550/arxiv.2603.21083","title":"Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts","display_name":"Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts","publication_year":2026,"publication_date":"2026-03-22","ids":{"openalex":"https://openalex.org/W7140237892","doi":"https://doi.org/10.48550/arxiv.2603.21083"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.21083","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21083","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.21083","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mohammadi, Bahram","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammadi, Bahram","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Huy, Ta Duc","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huy, Ta Duc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Sheikholeslami, Afrouz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheikholeslami, Afrouz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, Qi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Qi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Phan, Vu Minh Hieu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Phan, Vu Minh Hieu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"White, Sam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"White, Sam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"To, Minh-Son","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"To, Minh-Son","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang, Xuyun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xuyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Beheshti, Amin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beheshti, Amin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhou, Luping","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Luping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Qi, Yuankai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi, Yuankai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.5916000008583069,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.5916000008583069,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.11949999630451202,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.03139999881386757,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6292999982833862},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5329999923706055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44350001215934753},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4341999888420105},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4255000054836273},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.42320001125335693},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4138999879360199},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3546999990940094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799999713897705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6456999778747559},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6292999982833862},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5329999923706055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4341999888420105},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4255000054836273},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.42320001125335693},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4138999879360199},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3982999920845032},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3203999996185303},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3116999864578247},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.27070000767707825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.21083","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21083","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.21083","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21083","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Brain":[0],"tumor":[1,12,14,19],"segmentation":[2],"remains":[3],"challenging":[4],"because":[5],"the":[6,72,127,135,147,164],"three":[7,76],"standard":[8],"sub-regions,":[9,52],"i.e.,":[10],"whole":[11],"(WT),":[13],"core":[15],"(TC),":[16],"and":[17,161,168],"enhancing":[18],"(ET),":[20],"often":[21],"exhibit":[22],"ambiguous":[23],"visual":[24],"boundaries.":[25],"Integrating":[26],"radiological":[27],"description":[28],"texts":[29],"with":[30,75,93,107,141],"imaging":[31],"has":[32],"shown":[33],"promise.":[34],"However,":[35],"most":[36],"multimodal":[37],"approaches":[38],"typically":[39],"compress":[40],"a":[41,44,65,80,89,108],"report":[42],"into":[43,130],"single":[45],"global":[46],"text":[47,115],"embedding":[48],"shared":[49],"across":[50,153],"all":[51,154],"overlooking":[53],"their":[54,94],"distinct":[55],"clinical":[56],"characteristics.":[57],"We":[58],"propose":[59],"TextCSP":[60],"(text-modulated":[61],"soft":[62,82,105],"cascade":[63,83],"architecture),":[64],"hierarchical":[66],"text-guided":[67],"framework":[68],"that":[69,85,125],"builds":[70],"on":[71,146,163],"TextBraTS":[73,148],"baseline":[74],"novel":[77],"components:":[78],"(1)":[79],"text-modulated":[81],"decoder":[84,136],"predicts":[86],"WT->TC->ET":[87],"in":[88],"coarse-to-fine":[90],"manner":[91],"consistent":[92,151],"anatomical":[95],"containment":[96],"hierarchy.":[97],"(2)":[98],"sub-region-aware":[99],"prompt":[100],"tuning,":[101],"which":[102],"uses":[103],"learnable":[104],"prompts":[106],"LoRA-adapted":[109],"BioBERT":[110],"encoder":[111],"to":[112,137],"generate":[113],"specialized":[114],"representations":[116,129],"tailored":[117],"for":[118],"each":[119],"sub-region;":[120],"(3)":[121],"text-semantic":[122],"channel":[123],"modulators":[124],"convert":[126],"aforementioned":[128],"channel-wise":[131],"refinement":[132],"signals,":[133],"enabling":[134],"emphasize":[138],"features":[139],"aligned":[140],"clinically":[142],"described":[143],"patterns.":[144],"Experiments":[145],"dataset":[149],"demonstrate":[150],"improvements":[152],"sub-regions":[155],"against":[156],"state-of-the-art":[157],"methods":[158],"by":[159],"1.7%":[160],"6%":[162],"main":[165],"metrics":[166],"Dice":[167],"HD95.":[169]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-25T00:00:00"}