{"id":"https://openalex.org/W4406261448","doi":"https://doi.org/10.1109/bibm62325.2024.10822088","title":"A Novel Automatic Prompt Tuning Method for Polyp Segmentation","display_name":"A Novel Automatic Prompt Tuning Method for Polyp Segmentation","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261448","doi":"https://doi.org/10.1109/bibm62325.2024.10822088"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5101651700","display_name":"Xin Jing","orcid":"https://orcid.org/0000-0001-6593-7388"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Jing","raw_affiliation_strings":["Northeastern University,Software College,Shenyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Software College,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039998514","display_name":"Heyang Zhou","orcid":"https://orcid.org/0009-0005-1434-4247"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heyang Zhou","raw_affiliation_strings":["Northeastern University,Software College,Shenyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Software College,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077441424","display_name":"Keming Mao","orcid":"https://orcid.org/0000-0003-1243-0123"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keming Mao","raw_affiliation_strings":["Northeastern University,Software College,Shenyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Software College,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101620559","display_name":"Yuhai Zhao","orcid":"https://orcid.org/0000-0002-1080-0859"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhai Zhao","raw_affiliation_strings":["Northeastern University,College of Computer Science and Engineering,Shenyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Computer Science and Engineering,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114082257","display_name":"Liangyu Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangyu Chu","raw_affiliation_strings":["Northeastern University,College of Medicine and Biological and Information Engineering,Shenyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Medicine and Biological and Information Engineering,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.2819,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64750323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2094","last_page":"2099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.8747000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.8747000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7294430136680603},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5762089490890503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5747479200363159},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5671133995056152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5167807340621948},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36459702253341675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294430136680603},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5762089490890503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5747479200363159},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5671133995056152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5167807340621948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36459702253341675}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":36,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2560023338","https://openalex.org/W2787091153","https://openalex.org/W2884436604","https://openalex.org/W2907750714","https://openalex.org/W2921406441","https://openalex.org/W2962914239","https://openalex.org/W2963351448","https://openalex.org/W2979515228","https://openalex.org/W2997286550","https://openalex.org/W3035821817","https://openalex.org/W3090492687","https://openalex.org/W3092344722","https://openalex.org/W3100548413","https://openalex.org/W3120333390","https://openalex.org/W3128646645","https://openalex.org/W3130037565","https://openalex.org/W3134036841","https://openalex.org/W3203497085","https://openalex.org/W4295915728","https://openalex.org/W4307090197","https://openalex.org/W4315754639","https://openalex.org/W4321232185","https://openalex.org/W4321793086","https://openalex.org/W4385623861","https://openalex.org/W4390874575","https://openalex.org/W4401819803","https://openalex.org/W4403649802","https://openalex.org/W6750469568","https://openalex.org/W6790275670","https://openalex.org/W6851701011","https://openalex.org/W6851980744","https://openalex.org/W6852991312","https://openalex.org/W6853613540","https://openalex.org/W6855838334"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Accurate":[0],"polyp":[1,133,178],"segmentation":[2,47,94,134,166,179],"of":[3,17,29,42,50,87],"colonoscopy":[4],"images":[5],"is":[6],"crucial":[7],"for":[8,19,58,74,132],"diagnosing":[9],"and":[10,68,91,153],"treating":[11],"colorectal":[12],"cancer.":[13],"A":[14],"new":[15],"type":[16],"method":[18],"this":[20],"challenging":[21],"task":[22],"has":[23],"been":[24],"introduced":[25],"with":[26,129],"the":[27,34,40,72,85,140,160],"emergence":[28],"large":[30],"vision":[31],"models":[32],"like":[33],"Segment":[35],"Anything":[36],"Model":[37],"(SAM).":[38],"However,":[39],"application":[41],"SAM":[43,57,131],"to":[44,55,122,150],"medical":[45,59],"image":[46,141],"falls":[48],"short":[49],"clinical":[51],"requirements.":[52],"In":[53],"efforts":[54],"tailor":[56],"imaging":[60],"tasks,":[61],"researchers":[62],"often":[63],"work":[64],"on":[65,93,98,175],"improving":[66],"adapters":[67,138],"prompts":[69,101,124],"separately,":[70],"over-looking":[71],"potential":[73],"synergy":[75],"between":[76],"them.":[77],"Furthermore,":[78],"existing":[79],"methods":[80],"still":[81],"do":[82],"not":[83],"overcome":[84],"influence":[86],"prompt":[88,148],"type,":[89],"quantity,":[90],"positioning":[92],"results.":[95],"SAM\u2019s":[96],"dependency":[97],"professionally":[99],"annotated":[100],"further":[102],"limits":[103],"its":[104,189],"utility.":[105],"To":[106],"tackle":[107],"these":[108,169],"issues,":[109],"we":[110,144,158],"propose":[111],"a":[112],"fine-tuning":[113],"strategy":[114],"named":[115],"Automatic":[116],"Prompt":[117],"Tuning":[118],"(APT),":[119],"which":[120],"aims":[121],"generate":[123],"automatically.":[125],"This":[126],"approach":[127],"begins":[128],"adapting":[130],"by":[135,167],"incorporating":[136],"lightweight":[137],"into":[139],"encoder.":[142],"Next,":[143],"introduce":[145],"an":[146],"automatic":[147],"generator":[149],"process":[151],"features":[152],"produce":[154],"relevant":[155],"prompts.":[156,172],"Finally,":[157],"ensure":[159],"mask":[161],"decoder":[162],"consistently":[163],"delivers":[164],"accurate":[165],"leveraging":[168],"automatically":[170],"generated":[171],"Extensive":[173],"experiments":[174],"three":[176],"major":[177],"datasets":[180],"demonstrate":[181],"that":[182],"APT":[183],"outperforms":[184],"other":[185],"state-of-the-art":[186],"approaches,":[187],"proving":[188],"effectiveness.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
