{"id":"https://openalex.org/W4402347064","doi":"https://doi.org/10.1145/3673971.3673989","title":"Comparison of self-supervised learning methods for optical coherence tomography image classification","display_name":"Comparison of self-supervised learning methods for optical coherence tomography image classification","publication_year":2024,"publication_date":"2024-05-17","ids":{"openalex":"https://openalex.org/W4402347064","doi":"https://doi.org/10.1145/3673971.3673989"},"language":"en","primary_location":{"id":"doi:10.1145/3673971.3673989","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673971.3673989","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 2024 8th International Conference on Medical and Health Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3673971.3673989","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008570076","display_name":"Sungho Shim","orcid":"https://orcid.org/0000-0002-2235-6142"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sungho Shim","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089226316","display_name":"Hyun-Lim Yang","orcid":"https://orcid.org/0000-0003-2221-3042"},"institutions":[{"id":"https://openalex.org/I2802835388","display_name":"Seoul National University Hospital","ror":"https://ror.org/01z4nnt86","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I139264467","https://openalex.org/I2802835388"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-Lim Yang","raw_affiliation_strings":["Office of Hospital Information, Seoul National University Hospital, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Office of Hospital Information, Seoul National University Hospital, Republic of Korea","institution_ids":["https://openalex.org/I2802835388"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362666","display_name":"Min\u2010Soo Kim","orcid":"https://orcid.org/0000-0002-5065-0226"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min-Soo Kim","raw_affiliation_strings":["School of Computing, Korea Advanced Institute of Science and Technology, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computing, Korea Advanced Institute of Science and Technology, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008570076"],"corresponding_institution_ids":["https://openalex.org/I193352282"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2552591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9983999729156494,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9955000281333923,"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"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9628000259399414,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.8800528049468994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.671578049659729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6436692476272583},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.48918846249580383},{"id":"https://openalex.org/keywords/optical-tomography","display_name":"Optical tomography","score":0.47658511996269226},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.47359541058540344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46539151668548584},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37710151076316833},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.21818438172340393},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.20844754576683044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15919137001037598},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13394588232040405},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08934828639030457}],"concepts":[{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.8800528049468994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.671578049659729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6436692476272583},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.48918846249580383},{"id":"https://openalex.org/C2777413408","wikidata":"https://www.wikidata.org/wiki/Q1968843","display_name":"Optical tomography","level":3,"score":0.47658511996269226},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.47359541058540344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46539151668548584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37710151076316833},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.21818438172340393},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.20844754576683044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15919137001037598},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13394588232040405},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08934828639030457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3673971.3673989","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673971.3673989","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 2024 8th International Conference on Medical and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3673971.3673989","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673971.3673989","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 2024 8th International Conference on Medical and Health Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2321533354","https://openalex.org/W2589074029","https://openalex.org/W2962858109","https://openalex.org/W2979798680","https://openalex.org/W3120430728","https://openalex.org/W3164161311","https://openalex.org/W4296027312"],"related_works":["https://openalex.org/W2166934110","https://openalex.org/W2028558083","https://openalex.org/W3200823469","https://openalex.org/W2083453785","https://openalex.org/W2001904169","https://openalex.org/W2970707651","https://openalex.org/W2089574289","https://openalex.org/W4385335045","https://openalex.org/W2108584818","https://openalex.org/W2152200284"],"abstract_inverted_index":{"Self-supervised":[0],"learning":[1,4,17,48,67,82,121,155],"enables":[2],"deep":[3],"algorithms":[5],"to":[6,61,128],"achieve":[7],"high":[8],"performance":[9,124],"even":[10],"with":[11],"limited":[12],"labeled":[13],"data.":[14],"Numerous":[15],"self-supervised":[16,47,66,81,120],"methods":[18,49,68,83],"have":[19,28,44],"been":[20],"proposed,":[21],"and":[22,86,90,134,149],"several":[23],"medical":[24,53,71],"artificial":[25,72],"intelligence":[26,73],"studies":[27,43],"confirmed":[29,160],"the":[30,63,103,138,162,173],"effectiveness":[31],"of":[32,102],"this":[33,56],"technique":[34],"in":[35,132,172],"enhancing":[36],"model":[37,104,165],"performance.":[38],"Nonetheless,":[39],"only":[40],"a":[41,58,115,147],"few":[42],"investigated":[45],"which":[46,145],"are":[50],"appropriate":[51],"for":[52,69,137],"images.":[54,79],"In":[55,157],"study,":[57],"comparative":[59],"analysis":[60],"determine":[62],"most":[64],"suitable":[65],"developing":[70],"models":[74,87],"using":[75,92,117],"optical":[76,96,141],"coherence":[77,97,142],"tomography":[78,98,143],"Four":[80],"were":[84,88],"tested,":[85],"developed":[89],"validated":[91],"two":[93,139],"publicly":[94],"available":[95],"datasets.":[99],"The":[100],"reliability":[101],"output":[105],"was":[106,125],"assessed":[107],"through":[108],"Gradient-weighted":[109,174],"Class":[110,175],"Activation":[111,176],"Mapping":[112,177],"analysis.":[113,178],"As":[114],"result,":[116],"contrastive":[118,163],"learning-based":[119,164],"methods,":[122],"better":[123],"observed":[126],"compared":[127],"other":[129],"models,":[130],"resulting":[131],"99.90%":[133],"99.05%":[135],"accuracy":[136],"public":[140],"datasets,":[144],"represents":[146],"0.8%":[148],"2.86%":[150],"improvement":[151],"over":[152],"conventional":[153],"supervised":[154],"training.":[156],"addition,":[158],"we":[159],"that":[161],"can":[166],"more":[167],"reliably":[168],"localize":[169],"disease":[170],"lesions":[171]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}