{"id":"https://openalex.org/W4224990359","doi":"https://doi.org/10.1109/isbi52829.2022.9761434","title":"Symmetric Contrastive Loss for Out-of-Distribution Skin Lesion Detection","display_name":"Symmetric Contrastive Loss for Out-of-Distribution Skin Lesion Detection","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4224990359","doi":"https://doi.org/10.1109/isbi52829.2022.9761434"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761434","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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/A5100362282","display_name":"Xuan Li","orcid":"https://orcid.org/0000-0001-9352-6375"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Xuan Li","raw_affiliation_strings":["McGill University"],"affiliations":[{"raw_affiliation_string":"McGill University","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017608284","display_name":"Christian Desrosiers","orcid":"https://orcid.org/0000-0002-9162-9650"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Christian Desrosiers","raw_affiliation_strings":["Ecole De Technologie Superieure"],"affiliations":[{"raw_affiliation_string":"Ecole De Technologie Superieure","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372152","display_name":"Xue Liu","orcid":"https://orcid.org/0000-0001-5252-3442"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xue Liu","raw_affiliation_strings":["McGill University"],"affiliations":[{"raw_affiliation_string":"McGill University","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100362282"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.9618,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955000281333923,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9718999862670898,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7563366293907166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6543936729431152},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6052286028862},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6048334240913391},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5470739603042603},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5344343185424805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5240533351898193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48990339040756226},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4435853660106659}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563366293907166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6543936729431152},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6052286028862},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6048334240913391},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5470739603042603},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5344343185424805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5240533351898193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48990339040756226},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4435853660106659},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761434","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:24466","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/24466/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2296719434","https://openalex.org/W2531327146","https://openalex.org/W2626967530","https://openalex.org/W2767414122","https://openalex.org/W2794825826","https://openalex.org/W2951883849","https://openalex.org/W2954540134","https://openalex.org/W3009561768","https://openalex.org/W3034217686","https://openalex.org/W3034230713","https://openalex.org/W3035311832","https://openalex.org/W3095892876","https://openalex.org/W3102785203","https://openalex.org/W3120430728","https://openalex.org/W4287262235","https://openalex.org/W4295312788","https://openalex.org/W6640425456","https://openalex.org/W6728622933","https://openalex.org/W6739651123","https://openalex.org/W6745891213","https://openalex.org/W6757615711","https://openalex.org/W6765696844","https://openalex.org/W6766978945","https://openalex.org/W6774670964","https://openalex.org/W6789731502"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W2354233396","https://openalex.org/W2081472162"],"abstract_inverted_index":{"Detecting":[0],"out-of-distribution":[1],"(OOD)":[2],"data":[3],"has":[4],"been":[5],"a":[6,55,66],"challenging":[7],"task":[8],"for":[9],"deep":[10],"learning":[11,57],"models":[12],"trained":[13],"with":[14],"real-life":[15],"datasets.":[16],"This":[17],"work":[18],"studies":[19],"OOD":[20,50,93],"detection":[21,51],"in":[22,30,82],"medical":[23],"images":[24],"where":[25],"inter-class":[26],"difference":[27,38],"(e.g.,":[28,39],"variations":[29],"visual":[31],"appearance":[32],"across":[33],"separate":[34],"diseases)":[35],"outweighs":[36],"intra-class":[37],"same":[40],"disease":[41],"but":[42],"on":[43],"different":[44,89],"locations":[45],"or":[46],"people).":[47],"To":[48],"improve":[49],"performance,":[52],"we":[53],"propose":[54],"self-supervised":[56],"approach":[58],"that":[59],"can":[60],"better":[61],"capture":[62],"inter-/intra-class":[63],"variance":[64],"using":[65],"novel":[67],"symmetric":[68],"contrastive":[69],"loss.":[70],"Two":[71],"large-scale,":[72],"publicly-available":[73],"skin":[74],"lesion":[75],"datasets,":[76],"HAM10000":[77],"and":[78],"DermNet,":[79],"are":[80,101],"adopted":[81],"our":[83,108],"study.":[84],"Comprehensive":[85],"experiments,":[86],"including":[87],"three":[88],"distributional":[90],"shifts,":[91],"disease-specific":[92],"detection,":[94],"as":[95,97],"well":[96],"an":[98],"adversarial":[99],"attack,":[100],"conducted":[102],"to":[103],"validate":[104],"the":[105],"effectiveness":[106],"of":[107],"approach.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
