{"id":"https://openalex.org/W4401749604","doi":"https://doi.org/10.1109/isbi56570.2024.10635889","title":"Generalize Polyp Segmentation Via Inpainting Across Diverse Backgrounds and Pseudo-Mask Refinement","display_name":"Generalize Polyp Segmentation Via Inpainting Across Diverse Backgrounds and Pseudo-Mask Refinement","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401749604","doi":"https://doi.org/10.1109/isbi56570.2024.10635889"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","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/A5100309735","display_name":"Jiajian Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jiajian Ma","raw_affiliation_strings":["FNII, CUHK-Shenzhen"],"affiliations":[{"raw_affiliation_string":"FNII, CUHK-Shenzhen","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113072520","display_name":"Fangqi Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143430","display_name":"Southern Medical University Shenzhen Hospital","ror":"https://ror.org/037c01n91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143430"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangqi Lu","raw_affiliation_strings":["Shenzhen University,South China Hospital, Medical School"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,South China Hospital, Medical School","institution_ids":["https://openalex.org/I4210143430","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064672523","display_name":"Silin Huang","orcid":"https://orcid.org/0000-0002-1613-7779"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210143430","display_name":"Southern Medical University Shenzhen Hospital","ror":"https://ror.org/037c01n91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Silin Huang","raw_affiliation_strings":["Shenzhen University,South China Hospital, Medical School"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,South China Hospital, Medical School","institution_ids":["https://openalex.org/I4210143430","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055454866","display_name":"Song Wu","orcid":"https://orcid.org/0000-0003-3504-1630"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210143430","display_name":"Southern Medical University Shenzhen Hospital","ror":"https://ror.org/037c01n91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Wu","raw_affiliation_strings":["Shenzhen University,South China Hospital, Medical School"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,South China Hospital, Medical School","institution_ids":["https://openalex.org/I4210143430","https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100332625","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0002-7669-2686"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhen Li","raw_affiliation_strings":["SSE, CUHK-Shenzhen"],"affiliations":[{"raw_affiliation_string":"SSE, CUHK-Shenzhen","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100309735"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.3383,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62561899,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.8794000148773193,"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":0.8794000148773193,"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"}},{"id":"https://openalex.org/T10700","display_name":"Metal Forming Simulation Techniques","score":0.8485000133514404,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11201","display_name":"Metallurgy and Material Forming","score":0.8276000022888184,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/inpainting","display_name":"Inpainting","score":0.8823035955429077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6362641453742981},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5862249135971069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5784139633178711},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5679944157600403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46752312779426575},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45741575956344604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2870562672615051}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8823035955429077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6362641453742981},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5862249135971069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5784139633178711},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5679944157600403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46752312779426575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45741575956344604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2870562672615051}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2021088830","https://openalex.org/W2560328367","https://openalex.org/W2997286550","https://openalex.org/W3002021892","https://openalex.org/W3046240927","https://openalex.org/W4287029626","https://openalex.org/W4308456711","https://openalex.org/W4311665642","https://openalex.org/W4312933868","https://openalex.org/W4320343052","https://openalex.org/W4382877880","https://openalex.org/W4385484654","https://openalex.org/W4385490028","https://openalex.org/W4390873054","https://openalex.org/W6840155194","https://openalex.org/W6849745102"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W4298074124","https://openalex.org/W3214306048","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Inpainting":[0],"lesions":[1],"within":[2],"different":[3,67],"normal":[4],"backgrounds":[5],"is":[6,16,156],"a":[7,36,58,94],"potential":[8],"method":[9],"of":[10,63,134,146],"addressing":[11],"the":[12,49,72,80,132,144],"generalization":[13],"problem,":[14],"which":[15],"crucial":[17],"for":[18,38,105],"polyp":[19,135],"segmentation":[20,136],"models.":[21],"However,":[22],"seamlessly":[23],"introducing":[24],"polyps":[25,65,76],"into":[26],"complex":[27],"endoscopic":[28],"environments":[29],"while":[30],"simultaneously":[31],"generating":[32],"accurate":[33],"pseudomasks":[34],"remains":[35],"challenge":[37],"current":[39],"inpainting":[40,64,113,123],"methods.":[41],"To":[42],"address":[43],"these":[44],"issues,":[45],"we":[46,70],"first":[47],"leverage":[48],"pre-trained":[50],"Stable":[51],"Diffusion":[52],"Inpaint":[53],"and":[54,101,120],"ControlNet,":[55],"to":[56,79,83],"introduce":[57],"robust":[59],"generative":[60],"model":[61,107,114],"capable":[62],"across":[66],"backgrounds.":[68],"Secondly,":[69],"utilize":[71],"prior":[73],"that":[74,98,111,152],"synthetic":[75,103],"are":[77],"confined":[78],"inpainted":[81,86],"region,":[82],"establish":[84],"an":[85],"region-guided":[87],"pseudo-mask":[88],"refinement":[89],"network.":[90],"We":[91],"also":[92],"propose":[93],"sample":[95],"selection":[96],"strategy":[97,129],"prioritizes":[99],"well-aligned":[100],"hard":[102],"cases":[104],"further":[106],"fine-tuning.":[108],"Experiments":[109],"demonstrate":[110],"our":[112,126],"outperformed":[115],"baseline":[116],"methods":[117],"both":[118],"qualitatively":[119],"quantitatively":[121],"in":[122,151],"quality.":[124],"Moreover,":[125],"data":[127],"augmentation":[128],"significantly":[130],"enhances":[131],"performance":[133],"models":[137],"on":[138],"external":[139],"datasets,":[140],"achieving":[141],"or":[142],"surpassing":[143],"level":[145],"fully":[147],"supervised":[148],"training":[149],"benchmarks":[150],"domain.":[153],"Our":[154],"code":[155],"available":[157],"at":[158],"https://github.com/497662892/PolypInpainter.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
