{"id":"https://openalex.org/W4415708131","doi":"https://doi.org/10.1109/icme59968.2025.11210159","title":"Nucleus-SAM:Point-Supervised SAM for Nucleus Segmentation","display_name":"Nucleus-SAM:Point-Supervised SAM for Nucleus Segmentation","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708131","doi":"https://doi.org/10.1109/icme59968.2025.11210159"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11210159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210159","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 Multimedia and Expo (ICME)","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/A5038129252","display_name":"Yu\u2010Feng Zhou","orcid":"https://orcid.org/0000-0001-6882-5058"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111696018","display_name":"Xing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Wu","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liangshan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangshan Zhu","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107898340","display_name":"Chengliang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengliang Wang","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101900863","display_name":"Zailin Yang","orcid":"https://orcid.org/0000-0002-8587-975X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]},{"id":"https://openalex.org/I4210154480","display_name":"Chongqing Cancer Hospital","ror":"https://ror.org/047d8yx24","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zailin Yang","raw_affiliation_strings":["Chongqing University Cancer Hospital,Department of Hematology-Oncology,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University Cancer Hospital,Department of Hematology-Oncology,Chongqing,China","institution_ids":["https://openalex.org/I158842170","https://openalex.org/I4210154480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115596384","display_name":"Yao Liu","orcid":"https://orcid.org/0009-0000-1843-0517"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]},{"id":"https://openalex.org/I4210154480","display_name":"Chongqing Cancer Hospital","ror":"https://ror.org/047d8yx24","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Liu","raw_affiliation_strings":["Chongqing University Cancer Hospital,Department of Hematology-Oncology,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University Cancer Hospital,Department of Hematology-Oncology,Chongqing,China","institution_ids":["https://openalex.org/I158842170","https://openalex.org/I4210154480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27761852,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.6876000165939331,"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":0.6876000165939331,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.11569999903440475,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.09430000185966492,"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":0.828499972820282},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6802999973297119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5713000297546387},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5146999955177307},{"id":"https://openalex.org/keywords/nucleus","display_name":"Nucleus","score":0.4690999984741211},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4632999897003174},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44350001215934753}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.828499972820282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7444999814033508},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6802999973297119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5713000297546387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5396000146865845},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5146999955177307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4884999990463257},{"id":"https://openalex.org/C2780723820","wikidata":"https://www.wikidata.org/wiki/Q1934178","display_name":"Nucleus","level":2,"score":0.4690999984741211},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42489999532699585},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3862999975681305},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.25769999623298645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11210159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210159","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 Multimedia and Expo (ICME)","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":22,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2592905743","https://openalex.org/W2974825848","https://openalex.org/W2979976730","https://openalex.org/W3011974116","https://openalex.org/W3091734171","https://openalex.org/W3136850285","https://openalex.org/W3163974261","https://openalex.org/W3180169285","https://openalex.org/W4225007432","https://openalex.org/W4321232185","https://openalex.org/W4322766079","https://openalex.org/W4365799787","https://openalex.org/W4385814424","https://openalex.org/W4387642335","https://openalex.org/W4390874575","https://openalex.org/W4391109864","https://openalex.org/W4395015601","https://openalex.org/W4403691822","https://openalex.org/W4404004710","https://openalex.org/W4410528390","https://openalex.org/W4415593903"],"related_works":[],"abstract_inverted_index":{"Point-supervised":[0],"nucleus":[1,73,128],"segmentation":[2,74,134],"in":[3,37,158,162],"pathology":[4],"images":[5],"is":[6],"crucial":[7],"and":[8,91,104,119,136,148,160],"efficient":[9],"for":[10,72],"medical":[11],"applications.":[12],"However,":[13],"point-supervised":[14,42,147],"methods":[15],"face":[16],"two":[17,88],"limitations:":[18],"1)":[19,93],"They":[20],"generate":[21],"pseudo-labels":[22,102],"using":[23],"image":[24],"prior":[25],"knowledge,":[26],"but":[27,75],"the":[28,38,54,99,107,111,131],"diversity":[29],"of":[30,87,101,110,156],"nuclear":[31],"morphology":[32],"leads":[33],"to":[34,63,125,127],"shape":[35],"noise":[36,103],"pseudo-labels.":[39],"2)":[40,113],"Current":[41],"models":[43,152],"are":[44],"trained":[45],"on":[46],"limited":[47],"data,":[48],"lacking":[49],"generalization.":[50],"In":[51,80],"recent":[52],"years,":[53],"vision":[55],"foundation":[56],"model":[57],"SAM":[58,71,124,149],"has":[59],"garnered":[60],"attention":[61],"due":[62],"its":[64],"strong":[65],"generalization":[66,137],"ability.":[67],"Existing":[68],"studies":[69],"fine-tune":[70],"still":[76],"require":[77],"pixel-level":[78,139],"labels.":[79,140],"this":[81],"paper,":[82],"We":[83],"introduce":[84],"Nucleus-SAM,":[85],"consisting":[86],"modules:":[89],"NDM":[90,94],"GAM.":[92],"utilizes":[95],"heat":[96],"maps,":[97],"solving":[98],"issue":[100],"better":[105],"learning":[106],"morphological":[108],"features":[109],"nucleus.":[112],"GAM":[114],"combines":[115],"weakly":[116],"supervised":[117],"fine-tuning":[118],"automatic":[120],"point":[121,150],"generator,":[122],"enabling":[123],"adapt":[126],"segmentation,":[129],"enhancing":[130],"model\u2019s":[132],"overall":[133],"performance":[135],"without":[138],"Experiments":[141],"show":[142],"that":[143],"Nucleus-SAM":[144],"outperforms":[145],"SOTA":[146],"prompt":[151],"by":[153],"an":[154],"average":[155],"3.26%":[157],"IoU":[159],"2.33%":[161],"Dice":[163],"scores":[164],"across":[165],"multiple":[166],"datasets.":[167]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-30T00:00:00"}
