{"id":"https://openalex.org/W4416252009","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228325","title":"YOLO-Driven Prompt Generation for SAM-Based Brain Tumor Segmentation","display_name":"YOLO-Driven Prompt Generation for SAM-Based Brain Tumor Segmentation","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416252009","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228325"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5074686743","display_name":"Bolin Lv","orcid":"https://orcid.org/0009-0006-5865-640X"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bolin Lv","raw_affiliation_strings":["Lanzhou University,School of Information Science and Engineering,Lanzhou,China"],"affiliations":[{"raw_affiliation_string":"Lanzhou University,School of Information Science and Engineering,Lanzhou,China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100577717","display_name":"Ming Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yuan","raw_affiliation_strings":["Lanzhou University,School of Information Science and Engineering,Lanzhou,China"],"affiliations":[{"raw_affiliation_string":"Lanzhou University,School of Information Science and Engineering,Lanzhou,China","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074686743"],"corresponding_institution_ids":["https://openalex.org/I76214153"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37549035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8550000190734863,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.8550000190734863,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.1071000024676323,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.006899999920278788,"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/segmentation","display_name":"Segmentation","score":0.8251000046730042},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.43650001287460327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.428600013256073},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.37700000405311584},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.3547999858856201},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.303600013256073}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8251000046730042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6966999769210815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6097000241279602},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.428600013256073},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.37700000405311584},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3122999966144562},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.303600013256073},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.26350000500679016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2517954747","https://openalex.org/W2766585573","https://openalex.org/W2884436604","https://openalex.org/W2905338897","https://openalex.org/W2980308141","https://openalex.org/W3118413760","https://openalex.org/W3204177259","https://openalex.org/W4210598935","https://openalex.org/W4211193121","https://openalex.org/W4226224676","https://openalex.org/W4254065421","https://openalex.org/W4281490773","https://openalex.org/W4281724237","https://openalex.org/W4323357155","https://openalex.org/W4366310361","https://openalex.org/W4387829157","https://openalex.org/W4390874575","https://openalex.org/W4393139826","https://openalex.org/W4394758452","https://openalex.org/W4401126708","https://openalex.org/W4401725766","https://openalex.org/W4402220158","https://openalex.org/W4402351971","https://openalex.org/W4406260776","https://openalex.org/W4409366412","https://openalex.org/W4415798884"],"related_works":[],"abstract_inverted_index":{"Brain":[0],"tumors":[1,8],"are":[2],"among":[3],"the":[4,10,73],"most":[5],"prevalent":[6],"malignant":[7],"of":[9,20],"central":[11],"nervous":[12],"system,":[13],"posing":[14],"significant":[15],"threats":[16],"to":[17,50,84],"patients\u2019":[18],"quality":[19],"life":[21],"and":[22,25,36,46],"survival.":[23],"Accurate":[24],"efficient":[26,102],"brain":[27,87],"tumor":[28,88],"segmentation":[29,41,82,118],"is":[30],"therefore":[31],"critically":[32],"important":[33],"for":[34],"diagnosis":[35],"treatment":[37],"planning.":[38],"However,":[39],"existing":[40],"models,":[42],"such":[43],"as":[44],"CNNs":[45],"Transformers,":[47],"often":[48],"struggle":[49],"achieve":[51],"satisfactory":[52],"performance":[53],"under":[54],"limited":[55],"data":[56],"conditions.":[57],"In":[58],"this":[59],"study,":[60],"we":[61,95],"propose":[62],"a":[63,68],"novel":[64],"framework":[65],"that":[66,100,108],"integrates":[67],"YOLO":[69],"detection":[70],"model":[71,111],"with":[72],"Segment":[74],"Anything":[75],"Model":[76],"(SAM),":[77],"leveraging":[78],"SAM\u2019s":[79],"powerful":[80],"zero-shot":[81],"capability":[83],"enable":[85],"automated":[86],"segmentation.":[89],"To":[90],"further":[91],"enhance":[92],"task-specific":[93],"adaptability,":[94],"introduce":[96],"an":[97],"adapter":[98],"layer":[99],"facilitates":[101],"parameter":[103],"tuning.":[104],"Experimental":[105],"results":[106],"demonstrate":[107],"our":[109],"proposed":[110],"outperforms":[112],"several":[113],"baseline":[114],"methods,":[115],"achieving":[116],"superior":[117],"performance.":[119]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}