{"id":"https://openalex.org/W4372268480","doi":"https://doi.org/10.1109/icassp49357.2023.10096623","title":"Domain Generalized Fundus Image Segmentation via Dual-Level Mixing","display_name":"Domain Generalized Fundus Image Segmentation via Dual-Level Mixing","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372268480","doi":"https://doi.org/10.1109/icassp49357.2023.10096623"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096623","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10096623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5076427704","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0003-1641-5713"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["National University of Defense Technology,College of Computer","College of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344294","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0001-5090-9915"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["National University of Defense Technology,College of Computer","College of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369797","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-0260-2182"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["National University of Defense Technology,College of Computer","College of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115604777","display_name":"Bin Zhou","orcid":"https://orcid.org/0000-0002-0950-9298"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhou","raw_affiliation_strings":["National University of Defense Technology,College of Computer","College of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034435564","display_name":"Yusong Tan","orcid":"https://orcid.org/0000-0003-1233-5679"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusong Tan","raw_affiliation_strings":["National University of Defense Technology,College of Computer","College of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62982924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9932000041007996,"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":0.9932000041007996,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9889000058174133,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9793000221252441,"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":0.7094203233718872},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6773049831390381},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.644679605960846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6172632575035095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5672941207885742},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5191325545310974},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4673880338668823},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4657503068447113},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41256576776504517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38726118206977844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2514049708843231}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7094203233718872},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6773049831390381},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.644679605960846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6172632575035095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5672941207885742},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5191325545310974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4673880338668823},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4657503068447113},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41256576776504517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38726118206977844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2514049708843231},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096623","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10096623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4300000071525574,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"},{"id":"https://openalex.org/F4320335774","display_name":"Key Technologies Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1997259062","https://openalex.org/W2034786340","https://openalex.org/W2603777577","https://openalex.org/W2963073217","https://openalex.org/W2979448322","https://openalex.org/W2979610451","https://openalex.org/W3006326483","https://openalex.org/W3015328626","https://openalex.org/W3021747502","https://openalex.org/W3034373371","https://openalex.org/W3092433507","https://openalex.org/W3142917731","https://openalex.org/W3204220269","https://openalex.org/W4283749275","https://openalex.org/W6789380839"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W4200527723"],"abstract_inverted_index":{"Single":[0],"domain":[1,22,66,186,202],"generalization":[2,70,163],"plays":[3],"a":[4,19,99],"vital":[5],"role":[6],"in":[7],"signal":[8],"processing":[9],"tasks,":[10,43],"which":[11,105,139],"is":[12],"capable":[13],"of":[14,41,62,86,109,145,167,185,191],"extracting":[15],"domain-invariant":[16],"knowledge":[17],"from":[18,91],"single":[20,64],"source":[21,65],"such":[23],"that":[24,173,205],"the":[25,39,60,63,69,74,87,103,107,114,118,131,136,141,150,183,189],"learned":[26],"model":[27],"can":[28,180],"be":[29],"generalizable":[30],"to":[31,58,82,97,134,161,196,201],"unseen":[32],"domains.":[33,147],"However,":[34],"many":[35],"existing":[36],"methods":[37],"require":[38],"help":[40],"auxiliary":[42],"bringing":[44],"extra":[45],"computation":[46],"cost.":[47],"Aiming":[48],"at":[49,73,117],"this":[50,52],"pitfall,":[51],"study":[53],"proposes":[54],"Dual-Level":[55],"Mixing":[56],"(DLM)":[57],"boost":[59],"diversity":[61],"and":[67,112,156],"enhance":[68],"performance.":[71,164],"Specifically,":[72],"input":[75],"level,":[76,120],"we":[77,121,129],"apply":[78],"different":[79,84,146],"image":[80,101,170],"augmentations":[81],"get":[83,98],"variants":[85],"same":[88],"image.":[89],"Patches":[90],"augmented":[92],"images":[93],"are":[94],"spatially":[95],"mixed":[96],"perturbed":[100],"as":[102,125],"input,":[104],"enlarges":[106],"scale":[108],"training":[110],"data":[111],"boosts":[113],"diversity.":[115],"Meanwhile,":[116],"feature":[119,123,132],"characterize":[122],"statistics":[124,133],"Gaussian":[126],"distributions.":[127],"Then,":[128],"resample":[130],"renormalize":[135],"latent":[137],"features,":[138],"simulates":[140],"potential":[142],"style":[143],"variance":[144],"In":[148],"summary,":[149],"proposed":[151],"DLM":[152],"method":[153],"synergies":[154],"input-level":[155,175],"feature-level":[157,178],"mixing":[158,176,179,193],"strategies,":[159],"leading":[160],"enhanced":[162],"Experimental":[165],"results":[166],"cross-domain":[168],"fundus":[169],"segmentation":[171],"demonstrate":[172],"either":[174],"or":[177,198],"effectively":[181],"promote":[182],"performance":[184,200],"generalization.":[187],"Moreover,":[188],"collaboration":[190],"dual-level":[192],"strategies":[194],"leads":[195],"superior":[197],"comparable":[199],"adaptation":[203],"counterparts":[204],"rely":[206],"on":[207],"target":[208],"data.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
