{"id":"https://openalex.org/W4399658595","doi":"https://doi.org/10.1145/3641584.3641662","title":"Automatic diagnosis of eyelid tumors based on SE-SSD object localization algorithm","display_name":"Automatic diagnosis of eyelid tumors based on SE-SSD object localization algorithm","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4399658595","doi":"https://doi.org/10.1145/3641584.3641662"},"language":"en","primary_location":{"id":"doi:10.1145/3641584.3641662","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031504261","display_name":"Jiamin Gong","orcid":"https://orcid.org/0009-0006-4929-8233"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamin Gong","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0006-4929-8233","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082284167","display_name":"H. Liu","orcid":"https://orcid.org/0009-0003-7442-4412"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Liu","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0003-7442-4412","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003053955","display_name":"Jiewei Jiang","orcid":"https://orcid.org/0000-0002-4306-793X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiewei Jiang","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-4306-793X","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"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":"523","last_page":"529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9990000128746033,"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":0.9990000128746033,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9873999953269958,"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"}},{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9815999865531921,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.751530110836029},{"id":"https://openalex.org/keywords/eyelid","display_name":"Eyelid","score":0.6292935013771057},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5784105062484741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4204006791114807},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4025808870792389},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36667877435684204},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.15792712569236755},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13803619146347046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751530110836029},{"id":"https://openalex.org/C2781302119","wikidata":"https://www.wikidata.org/wiki/Q48228","display_name":"Eyelid","level":2,"score":0.6292935013771057},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5784105062484741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4204006791114807},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4025808870792389},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36667877435684204},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15792712569236755},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13803619146347046}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641584.3641662","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1966027330","https://openalex.org/W2038125828","https://openalex.org/W2048440486","https://openalex.org/W2057203552","https://openalex.org/W2557738935","https://openalex.org/W2616247523","https://openalex.org/W2769758779","https://openalex.org/W2772246530","https://openalex.org/W2945976633","https://openalex.org/W2962941146","https://openalex.org/W2963446712","https://openalex.org/W2963757100","https://openalex.org/W2990714382","https://openalex.org/W3102564565","https://openalex.org/W3144084233","https://openalex.org/W3163031036","https://openalex.org/W3166842197","https://openalex.org/W3216750899","https://openalex.org/W4214872722","https://openalex.org/W4242177601","https://openalex.org/W4312127542"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Eyelid":[0],"tumors":[1,3],"include":[2],"of":[4,8,23,69,87,100,114,139,147,170],"orbit,":[5],"conjunctiva,":[6],"tissues":[7],"the":[9,56,62,78,84,109,112,122,126,153,167],"eyeball":[10],"and":[11,19,26,71,90,97,130,144,172],"eye":[12],"appendages,":[13],"which":[14,54],"seriously":[15],"affect":[16],"people's":[17],"vision":[18],"health.":[20],"The":[21,156],"similarity":[22],"early":[24],"benign":[25,70,96,129,171],"malignant":[27,72,98,131,173],"structures":[28],"makes":[29],"it":[30],"difficult":[31],"for":[32,128],"ophthalmologists":[33],"lacking":[34],"clinical":[35],"experience":[36],"to":[37,65,82,94],"distinguish":[38],"them.":[39],"To":[40],"address":[41],"these":[42],"issues,":[43],"a":[44],"target":[45],"localization":[46],"algorithm":[47,64],"based":[48],"on":[49,121,152],"SE-SSD":[50,79,115],"(ResNet50)":[51,80,116],"is":[52,117],"proposed,":[53],"integrates":[55],"channel":[57],"attention":[58],"mechanism":[59],"SENet":[60],"into":[61],"SSD":[63,110],"realize":[66],"automatic":[67,168],"diagnosis":[68,169],"eyelid":[73,88,101,132,174],"tumors.":[74,102,175],"Specifically,":[75],"we":[76],"utilize":[77],"network":[81],"locate":[83],"lesion":[85],"regions":[86],"tumors,":[89],"subsequently":[91],"employ":[92],"DenseNet121":[93,135],"achieve":[95],"classification":[99],"Experimental":[103],"results":[104,158],"demonstrate":[105],"that":[106,160],"compared":[107],"with":[108],"algorithm,":[111],"AP":[113],"increases":[118],"by":[119],"0.029":[120],"test":[123,154],"set.":[124,155],"In":[125],"experiment":[127],"tumor":[133],"classification,":[134],"achieves":[136],"an":[137,145],"AUC":[138],"0.919":[140],"(95%":[141,149],"CI:":[142,150],"0.863-0.961)":[143],"accuracy":[146],"90.9%":[148],"86.9-95.0)":[151],"experimental":[157],"indicate":[159],"our":[161],"model":[162],"has":[163],"excellent":[164],"performance":[165],"in":[166]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
