{"id":"https://openalex.org/W4226461556","doi":"https://doi.org/10.1109/bibm52615.2021.9669727","title":"PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning","display_name":"PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4226461556","doi":"https://doi.org/10.1109/bibm52615.2021.9669727"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669727","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5006285228","display_name":"Xiaoang Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoang Shen","raw_affiliation_strings":["Tongji University,School of Software Engineering,Shanghai,China","School of Software Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Software Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063293419","display_name":"Guokai Zhang","orcid":"https://orcid.org/0000-0002-0952-8325"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guokai Zhang","raw_affiliation_strings":["University of Shanghai for Science and Technology,School of Optical-Electrical and Computer Engineering,Shanghai,China","School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,School of Optical-Electrical and Computer Engineering,Shanghai,China","institution_ids":["https://openalex.org/I148128674"]},{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046931858","display_name":"Huilin Lai","orcid":"https://orcid.org/0000-0003-2057-7512"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huilin Lai","raw_affiliation_strings":["Tongji University,School of Software Engineering,Shanghai,China","School of Software Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Software Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066198122","display_name":"Jihao Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jihao Luo","raw_affiliation_strings":["National University of Singapore,School of Computing,Singapore","School of Computing, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore,School of Computing,Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071813171","display_name":"Jianwei Lu","orcid":"https://orcid.org/0000-0002-9071-9443"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Lu","raw_affiliation_strings":["Tongji University,School of Software Engineering,Shanghai,China","School of Software Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Software Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014359523","display_name":"Ye Luo","orcid":"https://orcid.org/0000-0002-7052-7268"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Luo","raw_affiliation_strings":["Tongji University,School of Software Engineering,Shanghai,China","School of Software Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Software Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5006285228"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":3.0213,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.92781155,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1513","last_page":"1518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7620358467102051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7461449503898621},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.714493989944458},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5334679484367371},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5295734405517578},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5289673209190369},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4776272177696228},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4165423512458801},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4058230519294739},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14360365271568298}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7620358467102051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461449503898621},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.714493989944458},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5334679484367371},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5295734405517578},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5289673209190369},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4776272177696228},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4165423512458801},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4058230519294739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14360365271568298}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669727","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901229278","https://openalex.org/W2337429362","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2753160622","https://openalex.org/W2963078159","https://openalex.org/W2963946669","https://openalex.org/W2979808779","https://openalex.org/W2981787211","https://openalex.org/W2990230185","https://openalex.org/W3002569343","https://openalex.org/W3012079896","https://openalex.org/W3034398749","https://openalex.org/W3044738063","https://openalex.org/W3083779147","https://openalex.org/W3097337894","https://openalex.org/W3108189450","https://openalex.org/W3112175976","https://openalex.org/W3120893267","https://openalex.org/W3131068231","https://openalex.org/W3165010883","https://openalex.org/W3174415835","https://openalex.org/W3176065502","https://openalex.org/W3216552527","https://openalex.org/W6637373629","https://openalex.org/W6703192839","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6744114936","https://openalex.org/W6779206375","https://openalex.org/W6781322014","https://openalex.org/W6782464220","https://openalex.org/W6787374842"],"related_works":["https://openalex.org/W2989932438","https://openalex.org/W4387297750","https://openalex.org/W2186333919","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W3199300986"],"abstract_inverted_index":{"The":[0,130],"application":[1],"of":[2,16,213],"deep":[3],"learning":[4,135],"to":[5,13,46,51,60,75,111,152,205],"medical":[6,56,70,127,185],"image":[7,57,128,174,186],"segmentation":[8,58,175,187,196,202],"has":[9,88],"been":[10],"hampered":[11],"due":[12,59],"the":[14,31,61,94,97,150,207,214],"lack":[15],"abundant":[17],"pixel-level":[18,41],"annotated":[19,42],"data.":[20],"Few-shot":[21],"Semantic":[22],"Segmentation":[23],"(FSS)":[24],"is":[25,72],"a":[26,34,121],"promising":[27],"strategy":[28],"for":[29,44,64,69,79,107,126,136,148,172,197,203],"breaking":[30],"deadlock.":[32],"However,":[33],"high-performing":[35],"FSS":[36,68,86,124],"model":[37,151],"still":[38],"requires":[39],"sufficient":[40],"classes":[43],"training":[45,109],"avoid":[47],"overfitting,":[48],"which":[49],"leads":[50,110],"its":[52],"performance":[53,81,209],"bottleneck":[54],"in":[55,165],"unmet":[62],"need":[63],"annotations.":[65],"Thus,":[66],"semi-supervised":[67,85,123],"images":[71],"accordingly":[73],"proposed":[74,131,215],"utilize":[76],"unlabeled":[77,100,104,160],"data":[78,105,138],"further":[80],"improvement.":[82],"Nevertheless,":[83],"existing":[84],"methods":[87],"two":[89],"obvious":[90],"defects:":[91],"(1)":[92],"neglecting":[93],"relationship":[95,139],"between":[96],"labeled":[98],"and":[99,140,144,199,210],"data;":[101],"(2)":[102],"using":[103],"directly":[106],"end-to-end":[108,166],"degenerated":[112],"representation":[113],"learning.":[114,178],"To":[115],"address":[116],"these":[117],"problems,":[118],"we":[119],"propose":[120],"novel":[122],"framework":[125,132],"segmentation.":[129],"employs":[133],"Poisson":[134],"modeling":[137],"propagating":[141],"supervision":[142],"signals,":[143],"Spatial":[145],"Consistency":[146],"Calibration":[147],"encouraging":[149],"learn":[153],"more":[154],"coherent":[155],"representations.":[156],"In":[157],"this":[158],"process,":[159],"samples":[161],"do":[162],"not":[163],"involve":[164],"training,":[167],"but":[168],"provide":[169],"supervisory":[170],"information":[171],"query":[173],"through":[176],"graph-based":[177],"We":[179],"conduct":[180],"extensive":[181],"experiments":[182],"on":[183],"three":[184],"datasets":[188],"(i.e.":[189],"ISIC":[190],"skin":[191],"lesion":[192],"segmentation,":[193],"abdominal":[194,200],"organs":[195,201],"MRI":[198],"CT)":[204],"demonstrate":[206],"state-of-the-art":[208],"broad":[211],"applicability":[212],"framework.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}