{"id":"https://openalex.org/W4410492074","doi":"https://doi.org/10.1109/access.2025.3571014","title":"Nearest-Neighbor Dual-Path Contrastive Learning for Lumbar Disc Herniation MRI Image Classification","display_name":"Nearest-Neighbor Dual-Path Contrastive Learning for Lumbar Disc Herniation MRI Image Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410492074","doi":"https://doi.org/10.1109/access.2025.3571014"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3571014","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3571014","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3571014","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101111782","display_name":"Pan Dan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133784","display_name":"First Affiliated Hospital of Gannan Medical University","ror":"https://ror.org/040gnq226","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133784"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dan Pan","raw_affiliation_strings":["Department of Rehabilitation Medicine, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Rehabilitation Medicine, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China","institution_ids":["https://openalex.org/I4210133784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019678142","display_name":"Yuxiang Pan","orcid":"https://orcid.org/0000-0003-1016-2065"},"institutions":[{"id":"https://openalex.org/I4210113195","display_name":"Gannan Medical University","ror":"https://ror.org/01tjgw469","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113195"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Xiang Pan","raw_affiliation_strings":["Department of Rehabilitation Medicine, Gannan Healthcare Vocational College, Ganzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Rehabilitation Medicine, Gannan Healthcare Vocational College, Ganzhou, China","institution_ids":["https://openalex.org/I4210113195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732073","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-1714-7773"},"institutions":[{"id":"https://openalex.org/I4210094836","display_name":"Ganzhou People's Hospital","ror":"https://ror.org/00r398124","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210094836"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Department of Pharmacy, Ganzhou People’s Hospital, Ganzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Pharmacy, Ganzhou People’s Hospital, Ganzhou, China","institution_ids":["https://openalex.org/I4210094836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075964160","display_name":"Qijing Liu","orcid":"https://orcid.org/0000-0001-7353-0721"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qi-Jing Liu","raw_affiliation_strings":["Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China","Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111877658","display_name":"Meigui Qiu","orcid":"https://orcid.org/0000-0002-5768-8008"},"institutions":[{"id":"https://openalex.org/I4210133784","display_name":"First Affiliated Hospital of Gannan Medical University","ror":"https://ror.org/040gnq226","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133784"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Mao Qiu","raw_affiliation_strings":["Medical Imaging Center, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China"],"affiliations":[{"raw_affiliation_string":"Medical Imaging Center, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China","institution_ids":["https://openalex.org/I4210133784"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101111782"],"corresponding_institution_ids":["https://openalex.org/I4210133784"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3418,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79845402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"92906","last_page":"92920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6363228559494019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6138111352920532},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5920876264572144},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5623886585235596},{"id":"https://openalex.org/keywords/lumbar-disc-herniation","display_name":"Lumbar disc herniation","score":0.4989635944366455},{"id":"https://openalex.org/keywords/lumbar","display_name":"Lumbar","score":0.4891941547393799},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4711405634880066},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.45217281579971313},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4174526035785675},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4164985418319702},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3065319061279297},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2868155241012573},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24776998162269592}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6363228559494019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6138111352920532},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5920876264572144},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5623886585235596},{"id":"https://openalex.org/C2992636618","wikidata":"https://www.wikidata.org/wiki/Q697117","display_name":"Lumbar disc herniation","level":3,"score":0.4989635944366455},{"id":"https://openalex.org/C44575665","wikidata":"https://www.wikidata.org/wiki/Q1293405","display_name":"Lumbar","level":2,"score":0.4891941547393799},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4711405634880066},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.45217281579971313},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4174526035785675},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4164985418319702},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3065319061279297},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2868155241012573},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24776998162269592},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3571014","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3571014","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8dfcb10dd1f74775a3ea03e927c1b923","is_oa":true,"landing_page_url":"https://doaj.org/article/8dfcb10dd1f74775a3ea03e927c1b923","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 92906-92920 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3571014","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3571014","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2525106365","https://openalex.org/W2788776605","https://openalex.org/W2919115771","https://openalex.org/W2940464229","https://openalex.org/W2963446712","https://openalex.org/W3035524453","https://openalex.org/W3041678956","https://openalex.org/W3044919629","https://openalex.org/W3117193228","https://openalex.org/W3138516171","https://openalex.org/W3145450063","https://openalex.org/W3158714121","https://openalex.org/W4200034756","https://openalex.org/W4285596659","https://openalex.org/W4297259958","https://openalex.org/W4297775537","https://openalex.org/W4312443924","https://openalex.org/W4328048428","https://openalex.org/W4360859287","https://openalex.org/W4385245566","https://openalex.org/W4385780399","https://openalex.org/W4388818071","https://openalex.org/W4389417937","https://openalex.org/W4391785495","https://openalex.org/W4395699783","https://openalex.org/W4400178986","https://openalex.org/W4404549693","https://openalex.org/W4405047496","https://openalex.org/W4406792570","https://openalex.org/W6737664043","https://openalex.org/W6840354308"],"related_works":["https://openalex.org/W3013794936","https://openalex.org/W2317483397","https://openalex.org/W2355239905","https://openalex.org/W2317351040","https://openalex.org/W2313177203","https://openalex.org/W2347384479","https://openalex.org/W2952466936","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W4236344264"],"abstract_inverted_index":{"Lumbar":[0],"disc":[1],"herniation":[2],"(LDH)":[3],"is":[4,20],"a":[5,137],"common":[6],"spinal":[7],"condition":[8],"that":[9],"profoundly":[10],"affects":[11],"patients\u2019":[12],"quality":[13],"of":[14,105],"life.":[15],"Timely":[16],"and":[17,25,44,77,98,113,135,142],"precise":[18],"diagnosis":[19,134,145],"essential":[21,82],"for":[22,140],"efficient":[23,143],"therapy":[24],"enhancing":[26,67],"patient":[27],"outcomes.":[28],"This":[29,129],"paper":[30],"introduces":[31],"an":[32],"innovative":[33],"LDH":[34,133],"classification":[35,53,99,117],"framework":[36],"utilizing":[37],"nearest-neighbor":[38,64],"dual-path":[39],"contrastive":[40,65],"learning,":[41,66],"integrating":[42],"global":[43,56,68],"local":[45,72],"feature":[46,87,96],"learning":[47],"to":[48,80],"improve":[49],"lumbar":[50,126],"MRI":[51,127],"image":[52],"efficacy.":[54],"The":[55,89],"path":[57,73],"delineates":[58],"semantic":[59],"linkages":[60],"among":[61],"samples":[62],"by":[63,101,121],"representations,":[69],"whereas":[70],"the":[71,103,125],"employs":[74],"clipped":[75],"regions":[76],"data":[78],"augmentation":[79],"highlight":[81],"details,":[83],"thus":[84],"improving":[85],"fine-grained":[86],"modeling.":[88],"novel":[90],"nearest-neighbor-based":[91],"positive":[92],"sample":[93],"construction":[94],"enhances":[95,131],"consistency":[97],"accuracy":[100,112],"reducing":[102],"impact":[104],"irrelevant":[106],"examples.":[107],"Our":[108],"method":[109],"achieves":[110],"state-of-the-art":[111],"robustness":[114],"in":[115,146],"complicated":[116],"tasks,":[118],"as":[119],"shown":[120],"experimental":[122],"results":[123],"on":[124],"dataset.":[128],"discovery":[130],"automated":[132,144],"offers":[136],"viable":[138],"avenue":[139],"accurate":[141],"intricate":[147],"medical":[148],"imaging":[149],"contexts.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}