{"id":"https://openalex.org/W7124161884","doi":"https://doi.org/10.1145/3777577.3777697","title":"Deep Learning-Based Raman Spectroscopy for Early Diagnosis of Osteoarthritis: A Two-Dimensional Imaging Approach","display_name":"Deep Learning-Based Raman Spectroscopy for Early Diagnosis of Osteoarthritis: A Two-Dimensional Imaging Approach","publication_year":2025,"publication_date":"2025-10-24","ids":{"openalex":"https://openalex.org/W7124161884","doi":"https://doi.org/10.1145/3777577.3777697"},"language":null,"primary_location":{"id":"doi:10.1145/3777577.3777697","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777697","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3777577.3777697","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048818071","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0002-3197-8103"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Yu","raw_affiliation_strings":["College of Software, Xinjiang University, Urumqi, Xinjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Software, Xinjiang University, Urumqi, Xinjiang, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048818071"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.81855846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"741","last_page":"746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.01640000008046627,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.012500000186264515,"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/raman-spectroscopy","display_name":"Raman spectroscopy","score":0.6984000205993652},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5091999769210815},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4472000002861023},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4458000063896179},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4059999883174896},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.36309999227523804},{"id":"https://openalex.org/keywords/osteoarthritis","display_name":"Osteoarthritis","score":0.3578999936580658},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.351500004529953},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.3393000066280365}],"concepts":[{"id":"https://openalex.org/C40003534","wikidata":"https://www.wikidata.org/wiki/Q862228","display_name":"Raman spectroscopy","level":2,"score":0.6984000205993652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5891000032424927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5091999769210815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46880000829696655},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4472000002861023},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4458000063896179},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4059999883174896},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C2776164576","wikidata":"https://www.wikidata.org/wiki/Q62736","display_name":"Osteoarthritis","level":3,"score":0.3578999936580658},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.351500004529953},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.32269999384880066},{"id":"https://openalex.org/C2983449737","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Clinical diagnosis","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.2955000102519989},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C3017807761","wikidata":"https://www.wikidata.org/wiki/Q708176","display_name":"Joint disease","level":4,"score":0.27390000224113464},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C3020132585","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic accuracy","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.25850000977516174},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3777577.3777697","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777697","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3777577.3777697","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777697","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5307680368423462,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2015186727","https://openalex.org/W2048099339","https://openalex.org/W3093977774","https://openalex.org/W3138069219","https://openalex.org/W4375955752","https://openalex.org/W4400508351","https://openalex.org/W4407407044","https://openalex.org/W4410771330","https://openalex.org/W4413117296","https://openalex.org/W6966619673"],"related_works":[],"abstract_inverted_index":{"Osteoarthritis":[0],"(OA)":[1],"is":[2,14],"the":[3,107,111,143,164],"most":[4],"common":[5],"degenerative":[6],"joint":[7],"disease":[8],"worldwide,":[9],"and":[10,36,64,87,128,136],"accurate":[11],"early":[12,165],"diagnosis":[13,166],"crucial":[15],"for":[16,101,159],"improving":[17],"treatment":[18],"outcomes.":[19],"However,":[20],"traditional":[21],"Raman":[22,51,71,161],"spectroscopy":[23,162],"analysis":[24],"still":[25],"faces":[26],"challenges":[27],"in":[28,163],"small-sample":[29],"medical":[30],"data,":[31],"including":[32],"limited":[33],"feature":[34],"extraction":[35],"model":[37,93],"overfitting.":[38],"In":[39],"this":[40],"study,":[41],"we":[42],"propose":[43],"a":[44,155],"novel":[45],"diagnostic":[46],"approach":[47],"that":[48,106],"integrates":[49],"two-dimensional":[50,76],"spectral":[52],"mapping":[53],"with":[54,117],"lightweight":[55],"deep":[56],"learning.":[57],"Serum":[58],"samples":[59],"from":[60],"98":[61],"osteoarthritis":[62],"patients":[63],"30":[65],"healthy":[66],"controls":[67],"were":[68,73],"collected.":[69],"One-dimensional":[70],"spectra":[72],"transformed":[74],"into":[75],"images":[77],"using":[78],"Short-Time":[79],"Fourier":[80],"Transform":[81],"(STFT),":[82],"Gramian":[83],"Angular":[84],"Field":[85],"(GAF),":[86],"Recurrence":[88],"Plot":[89],"(RP).":[90],"A":[91],"SE-MobileNet":[92],"incorporating":[94],"channel":[95],"attention":[96],"mechanisms":[97],"was":[98],"then":[99],"constructed":[100],"classification.":[102],"Experimental":[103],"results":[104],"demonstrate":[105],"STFT+SE-MobileNet":[108],"combination":[109],"achieved":[110],"best":[112],"performance":[113],"under":[114],"five-fold":[115],"cross-validation,":[116],"an":[118],"accuracy":[119],"of":[120,123,126,130,167],"93.0%,":[121],"precision":[122],"93.6%,":[124],"recall":[125],"95.1%,":[127],"F1-score":[129],"0.943,":[131],"significantly":[132],"outperforming":[133],"SVM":[134],"(71.1%)":[135],"1D-CNN":[137],"(75.8%).":[138],"Furthermore,":[139],"Grad-CAM":[140],"visualization":[141],"confirmed":[142],"model's":[144],"ability":[145],"to":[146],"effectively":[147],"identify":[148],"key":[149],"biomarker":[150],"regions.":[151],"This":[152],"method":[153],"provides":[154],"new":[156],"technical":[157],"pathway":[158],"applying":[160],"osteoarthritis,":[168],"offering":[169],"important":[170],"clinical":[171],"value.":[172]},"counts_by_year":[],"updated_date":"2026-01-15T23:21:31.212559","created_date":"2026-01-15T00:00:00"}
