{"id":"https://openalex.org/W4386598486","doi":"https://doi.org/10.1109/icip49359.2023.10222252","title":"Self-Reinforcing For Few-Shot Medical Image Segmentation","display_name":"Self-Reinforcing For Few-Shot Medical Image Segmentation","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598486","doi":"https://doi.org/10.1109/icip49359.2023.10222252"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5101556720","display_name":"Yao Huang","orcid":"https://orcid.org/0000-0001-7978-2372"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Huang","raw_affiliation_strings":["Jiangxi Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Normal University","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721940","display_name":"Jianming Liu","orcid":"https://orcid.org/0000-0001-9158-0909"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Liu","raw_affiliation_strings":["Jiangxi Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Normal University","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380233","display_name":"Hua Chen","orcid":"https://orcid.org/0000-0003-0988-5979"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Chen","raw_affiliation_strings":["Jiangxi Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Normal University","institution_ids":["https://openalex.org/I53592917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I53592917"],"apc_list":null,"apc_paid":null,"fwci":0.2178,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44680578,"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":"655","last_page":"659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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":0.9980999827384949,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8095359802246094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7877098917961121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7349982857704163},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7210336327552795},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6570785045623779},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6235496997833252},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5965853333473206},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5462065935134888},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.49802112579345703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4943251609802246},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.47300082445144653},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4499989449977875},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4337083399295807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3475291132926941},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3317505717277527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07533848285675049}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8095359802246094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7877098917961121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7349982857704163},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7210336327552795},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6570785045623779},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6235496997833252},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5965853333473206},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5462065935134888},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.49802112579345703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4943251609802246},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.47300082445144653},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4499989449977875},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4337083399295807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3475291132926941},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3317505717277527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07533848285675049},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1999478155","https://openalex.org/W2104125540","https://openalex.org/W2114487471","https://openalex.org/W2115733720","https://openalex.org/W2401823607","https://openalex.org/W2601450892","https://openalex.org/W2884436604","https://openalex.org/W2963341924","https://openalex.org/W2964105864","https://openalex.org/W2979808779","https://openalex.org/W2990230185","https://openalex.org/W3002569343","https://openalex.org/W3014974815","https://openalex.org/W3097337894","https://openalex.org/W3106906018","https://openalex.org/W3127751679","https://openalex.org/W3176065502","https://openalex.org/W3188064562","https://openalex.org/W4293412117","https://openalex.org/W4295934721","https://openalex.org/W4313180545","https://openalex.org/W4313196086","https://openalex.org/W4319300548","https://openalex.org/W4321232185","https://openalex.org/W6713057566","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6745625233","https://openalex.org/W6746260573","https://openalex.org/W6753182481","https://openalex.org/W6790275670","https://openalex.org/W6810331367","https://openalex.org/W6910555300"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1],"serves":[2],"as":[3],"a":[4,27],"viable":[5],"solution":[6],"for":[7,32,50],"addressing":[8],"data":[9],"scarcity,":[10],"thus":[11],"exhibiting":[12],"significant":[13],"potential":[14],"in":[15],"the":[16,48,53,57,67,82,86],"domain":[17],"of":[18,60,69,85],"medical":[19,34],"image":[20,35],"segmentation.":[21],"In":[22],"this":[23],"work,":[24],"we":[25],"propose":[26],"simple":[28],"and":[29,44,63,78],"efficient":[30],"framework":[31],"few-shot":[33],"segmentation,":[36],"termed":[37],"SRPNet,":[38],"which":[39],"leverages":[40],"self-reinforcement":[41],"between":[42],"foreground":[43,62],"background.":[45],"Notably,":[46],"without":[47],"need":[49],"prior":[51],"knowledge,":[52],"model":[54],"autonomously":[55],"adapts":[56],"segmentation":[58,68],"effect":[59],"both":[61],"background,":[64],"thereby":[65],"enhancing":[66],"previously":[70],"unseen":[71],"classes.":[72],"Experimental":[73],"evaluations":[74],"conducted":[75],"on":[76],"CT":[77],"MRI":[79],"datasets":[80],"demonstrate":[81],"superior":[83],"performance":[84],"proposed":[87],"method":[88],"compared":[89],"to":[90],"other":[91],"state-of-the-art":[92],"techniques.":[93],"Code":[94],"is":[95],"available":[96],"at":[97],"https://github.com/q362096112/SRPNet.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
