{"id":"https://openalex.org/W7166640816","doi":"https://doi.org/10.48550/arxiv.2606.29928","title":"Latent-CURE for Breast Cancer Diagnosis","display_name":"Latent-CURE for Breast Cancer Diagnosis","publication_year":2026,"publication_date":"2026-06-29","ids":{"openalex":"https://openalex.org/W7166640816","doi":"https://doi.org/10.48550/arxiv.2606.29928"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.29928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29928","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.29928","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014726194","display_name":"Weiyi Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Weiyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139714078","display_name":"Xiaoyu Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Xiaoyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012208123","display_name":"Lu Gan","orcid":"https://orcid.org/0000-0002-8785-867X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gan, Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139691544","display_name":"Liang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139660554","display_name":"Xihe Qiu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiu, Xihe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"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":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.321399986743927,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.321399986743927,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.12439999729394913,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.11969999969005585,"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/breast-cancer","display_name":"Breast cancer","score":0.46059998869895935},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.4009999930858612},{"id":"https://openalex.org/keywords/forcing","display_name":"Forcing (mathematics)","score":0.39010000228881836},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.3312999904155731},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.3138999938964844},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.30559998750686646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.52920001745224},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4812999963760376},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.46059998869895935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44780001044273376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43299999833106995},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C197115733","wikidata":"https://www.wikidata.org/wiki/Q1003136","display_name":"Forcing (mathematics)","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.3138999938964844},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.26190000772476196}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.29928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29928","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.29928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29928","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7231429219245911,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"Large":[1],"Models":[2],"have":[3],"significantly":[4],"advanced":[5],"automated":[6],"breast":[7],"ultrasound":[8],"diagnosis.":[9,97],"However,":[10],"most":[11],"existing":[12],"frameworks":[13],"utilize":[14],"opaque,":[15],"end-to-end":[16],"paradigms":[17],"prioritizing":[18],"global":[19],"statistical":[20],"correlations":[21],"over":[22],"structured":[23],"clinical":[24,145],"reasoning.":[25,71],"Consequently,":[26],"these":[27],"models":[28],"remain":[29],"susceptible":[30],"to":[31,85,99],"shortcut":[32],"learning":[33],"amid":[34],"extreme":[35,102],"real-world":[36],"epidemiological":[37],"imbalances,":[38],"often":[39],"bypassing":[40],"rare":[41],"but":[42],"decisive":[43],"malignant":[44,106,127],"indicators":[45],"for":[46],"dominant":[47],"benign":[48,134],"patterns.":[49],"To":[50],"address":[51],"this":[52,110,123],"disconnect,":[53],"we":[54,108],"propose":[55],"Latent-CURE,":[56],"a":[57,95,113],"novel":[58],"diagnostic":[59,151],"framework":[60,76],"driven":[61],"by":[62,132],"asymmetric":[63],"weighted":[64],"chain-of-thought":[65],"methodology":[66],"grounded":[67],"in":[68,153],"latent":[69],"space":[70],"Unlike":[72],"traditional":[73],"approaches,":[74],"our":[75,140],"constructs":[77],"an":[78],"implicit":[79],"reasoning":[80],"trajectory":[81],"forcing":[82],"the":[83,101],"model":[84],"sequentially":[86],"infer":[87],"standardized":[88],"BI-RADS":[89],"morphological":[90],"descriptors":[91,128],"before":[92],"converging":[93],"on":[94],"final":[96],"Furthermore,":[98],"combat":[100],"scarcity":[103],"of":[104],"critical":[105],"features,":[107],"couple":[109],"architecture":[111],"with":[112],"dual-asymmetric":[114],"optimization":[115],"strategy.":[116],"By":[117],"dynamically":[118],"adjusting":[119],"margins":[120],"and":[121],"weights,":[122],"strategy":[124],"safeguards":[125],"high-specificity":[126],"from":[129],"being":[130],"overshadowed":[131],"common":[133],"priors.":[135],"Comprehensive":[136],"evaluations":[137],"demonstrate":[138],"that":[139],"knowledge-injected":[141],"approach":[142],"provides":[143],"transparent":[144],"evidence":[146],"while":[147],"achieving":[148],"robust,":[149],"accurate":[150],"performance":[152],"imbalanced":[154],"medical":[155],"cohorts.":[156]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-01T00:00:00"}
