{"id":"https://openalex.org/W4410296885","doi":"https://doi.org/10.1109/isbi60581.2025.10980784","title":"CLISC: Bridging Clip and SAM by Enhanced CAM for Unsupervised Brain Tumor Segmentation","display_name":"CLISC: Bridging Clip and SAM by Enhanced CAM for Unsupervised Brain Tumor Segmentation","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410296885","doi":"https://doi.org/10.1109/isbi60581.2025.10980784"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10980784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101621752","display_name":"Xiaochuan Ma","orcid":"https://orcid.org/0000-0001-9913-6538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaochuan Ma","raw_affiliation_strings":["School of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103996591","display_name":"Jia Fu","orcid":"https://orcid.org/0009-0005-5848-6757"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Fu","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083648249","display_name":"Wenjun Liao","orcid":"https://orcid.org/0000-0001-9186-8312"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210118556","display_name":"Sichuan Cancer Hospital","ror":"https://ror.org/029wq9x81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210118556"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Liao","raw_affiliation_strings":["Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China,Department of Radiation Oncology,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China,Department of Radiation Oncology,Chengdu,China","institution_ids":["https://openalex.org/I4210118556","https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111006649","display_name":"Shichuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210118556","display_name":"Sichuan Cancer Hospital","ror":"https://ror.org/029wq9x81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210118556"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichuan Zhang","raw_affiliation_strings":["Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China,Department of Radiation Oncology,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China,Department of Radiation Oncology,Chengdu,China","institution_ids":["https://openalex.org/I4210118556","https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075422557","display_name":"Guotai Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guotai Wang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9955999851226807,"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":0.9955999851226807,"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":0.9785000085830688,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9577999711036682,"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/bridging","display_name":"Bridging (networking)","score":0.8363780975341797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6246864795684814},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5539191365242004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4682180881500244},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4259638488292694},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3754105865955353},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.049652695655822754}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.8363780975341797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6246864795684814},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5539191365242004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4682180881500244},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4259638488292694},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3754105865955353},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.049652695655822754}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10980784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4622481033","display_name":null,"funder_award_id":"ZYGX2022YGRH019","funder_id":"https://openalex.org/F4320327599","funder_display_name":"Central Universities in China"},{"id":"https://openalex.org/G5348928810","display_name":null,"funder_award_id":"62271115","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"},{"id":"https://openalex.org/F4320327599","display_name":"Central Universities in China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1969700780","https://openalex.org/W1985215121","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2464708700","https://openalex.org/W2962858109","https://openalex.org/W2964980777","https://openalex.org/W3027056261","https://openalex.org/W3165355476","https://openalex.org/W3176482836","https://openalex.org/W3203090567","https://openalex.org/W4225003360","https://openalex.org/W4283522011","https://openalex.org/W4291993480","https://openalex.org/W4319866177","https://openalex.org/W4390874575","https://openalex.org/W4402916510","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W4408719353","https://openalex.org/W4388870064","https://openalex.org/W2210139803","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2056057048","https://openalex.org/W2667588871","https://openalex.org/W2272354214","https://openalex.org/W3204019825","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Brain":[0],"tumor":[1],"segmentation":[2,29,50,128,133,185],"is":[3,30,39,72,87,102,135,206],"important":[4],"for":[5,22,78,120,200],"diagnosis":[6],"of":[7,19,56,62,93,179],"the":[8,37,54,121,138,153,156,160,165],"tumor,":[9],"and":[10,59,117,159,203],"current":[11],"deep-learning":[12],"methods":[13,186],"rely":[14],"on":[15,152,164],"a":[16,47,80,148],"large":[17],"set":[18],"annotated":[20],"images":[21],"training,":[23],"with":[24,137],"high":[25],"annotation":[26],"costs.":[27],"Unsupervised":[28],"promising":[31],"to":[32,74,90,104,113,126,208],"avoid":[33],"human":[34],"annotations":[35],"while":[36],"performance":[38,205],"often":[40],"limited.":[41],"In":[42],"this":[43],"study,":[44],"we":[45],"present":[46],"novel":[48],"unsupervised":[49,184],"approach":[51,171,195],"that":[52,169],"leverages":[53],"capabilities":[55],"foundation":[57],"models,":[58],"it":[60],"consists":[61],"three":[63],"main":[64],"steps:":[65],"(1)":[66],"A":[67,131],"vision-language":[68],"model":[69],"(i.e.,":[70],"CLIP)":[71],"employed":[73,89],"obtain":[75,127],"image-level":[76],"pseudo-labels":[77,143],"training":[79],"classification":[81],"network.":[82],"Class":[83],"Activation":[84],"Mapping":[85],"(CAM)":[86],"then":[88],"extract":[91],"Regions":[92],"Interest":[94],"(ROIs),":[95],"where":[96,141],"an":[97,173],"adaptive":[98],"masking-based":[99],"data":[100],"augmentation":[101],"used":[103,112],"enhance":[105],"ROI":[106],"identification.":[107],"(2)":[108],"The":[109],"ROIs":[110],"are":[111,144],"generate":[114],"bounding":[115],"box":[116],"point":[118],"prompts":[119],"Segment":[122],"Anything":[123],"Model":[124],"(SAM)":[125],"pseudo-labels.":[129],"(3)":[130],"3D":[132],"network":[134],"trained":[136],"SAM-derived":[139],"pseudo-labels,":[140],"low-quality":[142],"filtered":[145],"out":[146],"in":[147],"self-learning":[149],"process":[150],"based":[151],"similarity":[154],"between":[155],"SAM's":[157],"output":[158],"network's":[161],"prediction.":[162],"Evaluation":[163],"BraTS2020":[166],"dataset":[167],"demonstrates":[168],"our":[170,194],"obtained":[172],"average":[174],"Dice":[175],"Similarity":[176],"Score":[177],"(DSC)":[178],"85.60%,":[180],"outperforming":[181],"five":[182],"state-of-the-art":[183],"by":[187],"more":[188],"than":[189],"10":[190],"percentage":[191],"points.":[192],"Besides,":[193],"outperforms":[196],"directly":[197],"using":[198],"SAM":[199],"zero-shot":[201],"inference,":[202],"its":[204],"close":[207],"fully":[209],"supervised":[210],"learning.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}