{"id":"https://openalex.org/W4394663696","doi":"https://doi.org/10.48550/arxiv.2404.04887","title":"A Clinical-oriented Multi-level Contrastive Learning Method for Disease\n Diagnosis in Low-quality Medical Images","display_name":"A Clinical-oriented Multi-level Contrastive Learning Method for Disease\n Diagnosis in Low-quality Medical Images","publication_year":2024,"publication_date":"2024-04-07","ids":{"openalex":"https://openalex.org/W4394663696","doi":"https://doi.org/10.48550/arxiv.2404.04887"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2404.04887","pdf_url":"https://arxiv.org/pdf/2404.04887","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2404.04887","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006758777","display_name":"Qingshan Hou","orcid":"https://orcid.org/0000-0002-3839-1399"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hou, Qingshan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101465764","display_name":"Shuai Cheng","orcid":"https://orcid.org/0009-0003-0958-0486"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Shuai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064264675","display_name":"Peng Cao","orcid":"https://orcid.org/0000-0002-1116-1171"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Peng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017211677","display_name":"Jinzhu Yang","orcid":"https://orcid.org/0000-0002-7754-1273"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Jinzhu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386600","display_name":"Xiaoli Liu","orcid":"https://orcid.org/0000-0003-2274-6180"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xiaoli","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053745515","display_name":"Osmar R. Za\u0131\u0308ane","orcid":"https://orcid.org/0000-0002-0060-5988"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaiane, Osmar R.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5085096438","display_name":"Yih\u2010Chung Tham","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tham, Yih Chung","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":82},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9435,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9435,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9228,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/contrastive-analysis","display_name":"Contrastive analysis","score":0.41135448}],"concepts":[{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.57301563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5703126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47158447},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4333917},{"id":"https://openalex.org/C2777629044","wikidata":"https://www.wikidata.org/wiki/Q614959","display_name":"Contrastive analysis","level":2,"score":0.41135448},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.37735736},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.35113156},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31560993},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.19027564},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15322036},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2404.04887","pdf_url":"https://arxiv.org/pdf/2404.04887","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2404.04887","pdf_url":"https://arxiv.org/pdf/2404.04887","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2926674492","https://openalex.org/W2599746747","https://openalex.org/W2373457013","https://openalex.org/W2372391131","https://openalex.org/W2370994831","https://openalex.org/W2368997734","https://openalex.org/W2361638104","https://openalex.org/W2359403380","https://openalex.org/W2042090592","https://openalex.org/W1489387583"],"abstract_inverted_index":{"Representation":[0],"learning":[1,49],"offers":[2],"a":[3,82,157],"conduit":[4],"to":[5,38,89,94,124,146,187],"elucidate":[6],"distinctive":[7],"features":[8,97,133],"within":[9],"the":[10,15,19,25,60,68,71,91,126,148,151],"latent":[11],"space":[12],"and":[13,24,73,98,102,121,140,180],"interpret":[14],"deep":[16],"models.":[17],"However,":[18],"randomness":[20],"of":[21,27,62,70,131,142,150],"lesion":[22,41,56,96,101,132,153],"distribution":[23],"complexity":[26],"low-quality":[28,103,112],"factors":[29],"in":[30,55],"medical":[31,113,143,176],"images":[32],"pose":[33],"great":[34],"challenges":[35],"for":[36],"models":[37],"extract":[39,95],"key":[40],"features.":[42],"Disease":[43],"diagnosis":[44,110],"methods":[45],"guided":[46],"by":[47,134],"contrastive":[48],"(CL)":[50],"have":[51],"shown":[52],"significant":[53],"advantages":[54],"feature":[57],"representation.":[58],"Nevertheless,":[59],"effectiveness":[61],"CL":[63,85,169],"is":[64,171],"highly":[65],"dependent":[66],"on":[67,164,173],"quality":[69,149],"positive":[72,120],"negative":[74,122],"sample":[75,160],"pairs.":[76],"In":[77],"this":[78],"work,":[79],"we":[80,116,155],"propose":[81],"clinical-oriented":[83],"multi-level":[84,119],"framework":[86,170],"that":[87],"aims":[88],"enhance":[90,125],"model's":[92,127],"capacity":[93],"discriminate":[99],"between":[100],"factors,":[104],"thereby":[105],"enabling":[106],"more":[107],"accurate":[108],"disease":[109,190],"from":[111,137],"images.":[114,144],"Specifically,":[115],"first":[117],"construct":[118],"pairs":[123],"comprehensive":[128],"recognition":[129],"capability":[130],"integrating":[135],"information":[136],"different":[138],"levels":[139],"qualities":[141],"Moreover,":[145],"improve":[147],"learned":[152],"embeddings,":[154],"introduce":[156],"dynamic":[158],"hard":[159],"mining":[161],"method":[162],"based":[163],"self-paced":[165],"learning.":[166],"The":[167],"proposed":[168],"validated":[172],"two":[174],"public":[175],"image":[177],"datasets,":[178],"EyeQ":[179],"Chest":[181],"X-ray,":[182],"demonstrating":[183],"superior":[184],"performance":[185],"compared":[186],"other":[188],"state-of-the-art":[189],"diagnostic":[191],"methods.":[192]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4394663696","counts_by_year":[],"updated_date":"2025-01-21T08:41:20.410395","created_date":"2024-04-11"}