{"id":"https://openalex.org/W4402353646","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650256","title":"Self-supported Prototype Rectification for Few-shot Medical Image Segmentation","display_name":"Self-supported Prototype Rectification for Few-shot Medical Image Segmentation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353646","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650256"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5101506836","display_name":"Zhaoxu Li","orcid":"https://orcid.org/0000-0002-4985-9583"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaoxu Li","raw_affiliation_strings":["East China Normal University,MoE Engineering Research Center of SW/HW Co-Design Technology and Application,Shanghai,China,200062"],"affiliations":[{"raw_affiliation_string":"East China Normal University,MoE Engineering Research Center of SW/HW Co-Design Technology and Application,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646416","display_name":"Hailing Wang","orcid":"https://orcid.org/0000-0002-6976-8806"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailing Wang","raw_affiliation_strings":["East China Normal University,MoE Engineering Research Center of SW/HW Co-Design Technology and Application,Shanghai,China,200062"],"affiliations":[{"raw_affiliation_string":"East China Normal University,MoE Engineering Research Center of SW/HW Co-Design Technology and Application,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027627793","display_name":"Guitao Cao","orcid":"https://orcid.org/0000-0002-4059-4806"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guitao Cao","raw_affiliation_strings":["East China Normal University,MoE Engineering Research Center of SW/HW Co-Design Technology and Application,Shanghai,China,200062"],"affiliations":[{"raw_affiliation_string":"East China Normal University,MoE Engineering Research Center of SW/HW Co-Design Technology and Application,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101506836"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.5248,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65601843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9991000294685364,"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/T10862","display_name":"AI in cancer detection","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7203240394592285},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7111649513244629},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6645141243934631},{"id":"https://openalex.org/keywords/rectification","display_name":"Rectification","score":0.658257007598877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.653546154499054},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5776945352554321},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4922124445438385},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43611234426498413},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.42358726263046265},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11778658628463745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10557302832603455},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.100627601146698}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7203240394592285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7111649513244629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6645141243934631},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.658257007598877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.653546154499054},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5776945352554321},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4922124445438385},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43611234426498413},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.42358726263046265},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11778658628463745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10557302832603455},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.100627601146698},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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":40,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2412782625","https://openalex.org/W2464708700","https://openalex.org/W2560023338","https://openalex.org/W2732931556","https://openalex.org/W2798122215","https://openalex.org/W2893918048","https://openalex.org/W2928133111","https://openalex.org/W2962723986","https://openalex.org/W2962914239","https://openalex.org/W2963078159","https://openalex.org/W2963341924","https://openalex.org/W2963599420","https://openalex.org/W2963881378","https://openalex.org/W2981787211","https://openalex.org/W2987039128","https://openalex.org/W2990230185","https://openalex.org/W2995848654","https://openalex.org/W3006169930","https://openalex.org/W3097337894","https://openalex.org/W3098656187","https://openalex.org/W3106906018","https://openalex.org/W3108189450","https://openalex.org/W3120897110","https://openalex.org/W3158095128","https://openalex.org/W3176065502","https://openalex.org/W4211030596","https://openalex.org/W4214660208","https://openalex.org/W4294770622","https://openalex.org/W4393573929","https://openalex.org/W6640295612","https://openalex.org/W6717697761","https://openalex.org/W6750469568","https://openalex.org/W6751281049","https://openalex.org/W6753182481","https://openalex.org/W6754568377","https://openalex.org/W6776864608","https://openalex.org/W6802814807"],"related_works":["https://openalex.org/W2355499516","https://openalex.org/W3210974833","https://openalex.org/W2599000612","https://openalex.org/W2811475781","https://openalex.org/W2094246381","https://openalex.org/W2074502265","https://openalex.org/W2361137193","https://openalex.org/W4214877189","https://openalex.org/W2377736761","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Few-shot":[0],"semantic":[1,66],"segmentation":[2,35,76,153,170],"aims":[3],"to":[4,7,33,72,100,124],"quickly":[5],"adapt":[6],"pixel-wise":[8],"predictions":[9],"for":[10,165],"novel":[11],"classes":[12],"with":[13,119,143],"only":[14],"a":[15,57,86,94,102,114,120,150],"few":[16],"labeled":[17],"images.":[18,38,79],"Recent":[19],"works":[20],"rely":[21],"on":[22,177],"prototypical":[23],"learning,":[24],"where":[25],"prototypes":[26,54],"obtained":[27,132],"from":[28,56,133,140],"support":[29,47,61,130,134],"images":[30,48,62,167],"are":[31,41],"applied":[32],"the":[34,53,75,156],"of":[36,60,77,108,158],"query":[37,50,78,104,137,141,145,166],"However,":[39],"there":[40],"inherent":[42],"intra-class":[43],"appearance":[44],"differences":[45],"between":[46,129],"and":[49,52,136,183],"images,":[51],"extracted":[55,139],"small":[58],"number":[59],"contain":[63],"limited":[64],"deep":[65],"information,":[67],"which":[68],"makes":[69],"it":[70],"difficult":[71],"accurately":[73],"guide":[74],"To":[80],"alleviate":[81],"this":[82],"problem,":[83],"we":[84,92,148],"propose":[85],"Self-Supported":[87],"Prototype":[88,115],"Rectification":[89,116],"Network.":[90],"Specifically,":[91],"introduce":[93,149],"Pseudo":[95],"Mask":[96],"Generation":[97],"(PMG)":[98],"module":[99,118],"generate":[101],"pseudo":[103,144],"mask":[105],"by":[106],"means":[107],"many-to-many":[109],"prototype":[110,128,131,138],"matching.":[111],"We":[112],"design":[113],"(PR)":[117],"learnable":[121],"parameter":[122],"\u03bb":[123],"balance":[125],"self-supported":[126],"rectified":[127],"image":[135],"features":[142],"mask.":[146],"Furthermore,":[147],"prototype-based":[151],"multi-class":[152],"approach":[154],"mitigate":[155],"issue":[157],"confusion":[159],"area":[160],"prediction":[161],"among":[162],"different":[163],"organs":[164],"in":[168],"multi-organ":[169],"scenario.":[171],"Our":[172],"method":[173],"outperforms":[174],"other":[175],"SOTAs":[176],"two":[178],"widely":[179],"used":[180],"datasets:":[181],"CHAOST2":[182],"MS-CMR.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}