{"id":"https://openalex.org/W7125982402","doi":"https://doi.org/10.1109/smc58881.2025.11343591","title":"SAM-BrainFocus: A Multi-scale Boundary-Refined Framework for Precise Brain Tumor Segmentation","display_name":"SAM-BrainFocus: A Multi-scale Boundary-Refined Framework for Precise Brain Tumor Segmentation","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125982402","doi":"https://doi.org/10.1109/smc58881.2025.11343591"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343591","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/A5124110501","display_name":"Yuyu Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuyu Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124103921","display_name":"Ziyi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziyi Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124074417","display_name":"Yufang Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yufang Dong","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5124110501"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71897397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"388","last_page":"393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5910999774932861,"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":0.5910999774932861,"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":0.27480000257492065,"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":0.07829999923706055,"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":0.7627000212669373},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5666000247001648},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.552299976348877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5297999978065491},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.47110000252723694},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.4553000032901764},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4043999910354614}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7817000150680542},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7627000212669373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.660099983215332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5990999937057495},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5666000247001648},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.552299976348877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5297999978065491},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.47110000252723694},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.4553000032901764},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4043999910354614},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4027000069618225},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.38040000200271606},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.25859999656677246}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343591","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2310992461","https://openalex.org/W2565639579","https://openalex.org/W2889646458","https://openalex.org/W3014974815","https://openalex.org/W3096609285","https://openalex.org/W3129945603","https://openalex.org/W3172681723","https://openalex.org/W3203841574","https://openalex.org/W4246193833","https://openalex.org/W4385481295","https://openalex.org/W4389430914","https://openalex.org/W4390189930","https://openalex.org/W4391109864","https://openalex.org/W4392203599","https://openalex.org/W4403067601","https://openalex.org/W4414222762"],"related_works":[],"abstract_inverted_index":{"Medical":[0],"image":[1,133],"segmentation":[2,14,72,103,134],"plays":[3],"a":[4,69,86,91,96],"crucial":[5],"role":[6],"in":[7,29,45,58,112,130],"clinical":[8],"diagnosis.":[9],"However,":[10],"the":[11,56,81],"accuracy":[12,104,138],"of":[13],"is":[15],"still":[16,42],"challenged":[17],"by":[18],"factors":[19],"such":[20,48],"as":[21,49],"blurred":[22,50],"target":[23],"boundaries,":[24,52],"complex":[25,119],"shapes,":[26],"and":[27,55,95,105,116,139],"difficulties":[28],"data":[30],"annotation.":[31],"Although":[32],"deep":[33],"learning-based":[34],"methods":[35],"have":[36],"made":[37],"significant":[38],"progress,":[39],"these":[40,64],"approaches":[41],"face":[43],"challenges":[44],"handling":[46],"issues":[47],"tumor":[51,71,88,92,97,132],"multi-scale":[53,113],"distributions,":[54],"difficulty":[57],"capturing":[59],"small":[60],"lesions.":[61],"To":[62],"address":[63],"challenges,":[65],"we":[66],"innovatively":[67],"propose":[68],"brain":[70,87,131],"model":[73],"based":[74],"on":[75],"SAM\u2014SAM-BrainFocus.":[76],"This":[77],"model,":[78],"built":[79],"upon":[80],"original":[82],"SAM":[83],"approach,":[84],"introduces":[85],"feature":[89,114],"extractor,":[90],"hint":[93],"generator,":[94],"boundary":[98],"refiner,":[99],"which":[100],"significantly":[101],"enhance":[102],"robustness.":[106],"It":[107],"has":[108],"achieved":[109],"breakthrough":[110],"progress":[111],"fusion":[115],"adaptability":[117],"to":[118],"targets.":[120],"Experimental":[121],"results":[122],"demonstrate":[123],"that":[124],"SAM-BrainFocus":[125],"outperforms":[126],"existing":[127],"mainstream":[128],"models":[129],"tasks,":[135],"achieving":[136],"higher":[137],"reliability.":[140]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}