{"id":"https://openalex.org/W4383370592","doi":"https://doi.org/10.1186/s12880-023-01047-w","title":"Automated fundus ultrasound image classification based on siamese convolutional neural networks with multi-attention","display_name":"Automated fundus ultrasound image classification based on siamese convolutional neural networks with multi-attention","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4383370592","doi":"https://doi.org/10.1186/s12880-023-01047-w","pmid":"https://pubmed.ncbi.nlm.nih.gov/37415102"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-023-01047-w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s12880-023-01047-w","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-023-01047-w.pdf","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s12880-023-01047-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102663760","display_name":"Jiachen Tan","orcid":"https://orcid.org/0009-0006-0410-7499"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachen Tan","raw_affiliation_strings":["School of Computer Science and Technology, Jiangsu Normal University, Xuzhou , 221116, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Jiangsu Normal University, Xuzhou , 221116, Jiangsu, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035411921","display_name":"Yongquan Dong","orcid":"https://orcid.org/0000-0001-8460-7034"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]},{"id":"https://openalex.org/I124841900","display_name":"Xuzhou University of Technology","ror":"https://ror.org/02315by94","country_code":"CN","type":"education","lineage":["https://openalex.org/I124841900"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongquan Dong","raw_affiliation_strings":["School of Computer Science and Technology, Jiangsu Normal University, Xuzhou , 221116, Jiangsu, China. tomdyq@163.com","Xuzhou Cloud Computing Engineering Technology Research Center, Xuzhou , 221116, Jiangsu, China. tomdyq@163.com","School of Computer Science and Technology, Jiangsu Normal University, Xuzhou , 221116, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Jiangsu Normal University, Xuzhou , 221116, Jiangsu, China. tomdyq@163.com","institution_ids":["https://openalex.org/I118574674"]},{"raw_affiliation_string":"Xuzhou Cloud Computing Engineering Technology Research Center, Xuzhou , 221116, Jiangsu, China. tomdyq@163.com","institution_ids":["https://openalex.org/I124841900","https://openalex.org/I4210144487"]},{"raw_affiliation_string":"School of Computer Science and Technology, Jiangsu Normal University, Xuzhou , 221116, Jiangsu, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056613138","display_name":"Junchi Li","orcid":"https://orcid.org/0009-0007-6552-6969"},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]},{"id":"https://openalex.org/I4210143072","display_name":"Xuzhou No.1 People's Hospital","ror":"https://ror.org/05ca6eb43","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143072"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junchi Li","raw_affiliation_strings":["Xuzhou No.1 People's Hospital, Xuzhou, 221018, Jiangsu, China","Xuzhou No.1 People\u2019s Hospital, Xuzhou, 221018, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xuzhou No.1 People's Hospital, Xuzhou, 221018, Jiangsu, China","institution_ids":["https://openalex.org/I177388780","https://openalex.org/I4210143072"]},{"raw_affiliation_string":"Xuzhou No.1 People\u2019s Hospital, Xuzhou, 221018, Jiangsu, China","institution_ids":["https://openalex.org/I177388780","https://openalex.org/I4210143072"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035411921"],"corresponding_institution_ids":["https://openalex.org/I118574674","https://openalex.org/I124841900","https://openalex.org/I4210144487"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":0.4627,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60402396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"23","issue":"1","first_page":"89","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T12599","display_name":"Retinal and Optic Conditions","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8659547567367554},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7989502549171448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7740817666053772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.755760908126831},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.6266504526138306},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6065510511398315},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5699082612991333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5071580410003662},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47797414660453796},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4226281940937042},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4082161784172058},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17673414945602417},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1333819031715393}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8659547567367554},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7989502549171448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7740817666053772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.755760908126831},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.6266504526138306},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6065510511398315},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5699082612991333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5071580410003662},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47797414660453796},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4226281940937042},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4082161784172058},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17673414945602417},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1333819031715393},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-023-01047-w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s12880-023-01047-w","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-023-01047-w.pdf","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:37415102","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37415102","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical imaging","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10324257","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10324257","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10324257/pdf/12880_2023_Article_1047.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:eec73afc32dc4aeaa8a973e10cae7baa","is_oa":true,"landing_page_url":"https://doaj.org/article/eec73afc32dc4aeaa8a973e10cae7baa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Imaging, Vol 23, Iss 1, Pp 1-17 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12880-023-01047-w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s12880-023-01047-w","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-023-01047-w.pdf","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G8172121739","display_name":"\u9762\u5411Deep Web\u7684\u6570\u636e\u6574\u5408\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61872168","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4383370592.pdf","grobid_xml":"https://content.openalex.org/works/W4383370592.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W107263651","https://openalex.org/W314152177","https://openalex.org/W586437679","https://openalex.org/W2194775991","https://openalex.org/W2229332794","https://openalex.org/W2253429366","https://openalex.org/W2346062110","https://openalex.org/W2788633781","https://openalex.org/W2884585870","https://openalex.org/W2888759171","https://openalex.org/W3012393889","https://openalex.org/W3024943873","https://openalex.org/W3036258815","https://openalex.org/W3138516171","https://openalex.org/W3216590487","https://openalex.org/W3216717225","https://openalex.org/W3216828560","https://openalex.org/W4229960422","https://openalex.org/W4280624090","https://openalex.org/W4283806161","https://openalex.org/W4295337699"],"related_works":["https://openalex.org/W3099765033","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2967742050","https://openalex.org/W2952813363","https://openalex.org/W4378678253"],"abstract_inverted_index":{"Fundus":[0],"ultrasound":[1,138],"image":[2,88,161],"classification":[3,78,132,181],"is":[4,51,65,84,104,141,149,163,166],"a":[5,93,142],"critical":[6],"issue":[7],"in":[8,61,87,145],"the":[9,26,42,66,70,108,174,180,189,193,204,229],"medical":[10],"field.":[11],"Vitreous":[12],"opacity":[13],"(VO)":[14],"and":[15,46,76,102,135,177,225],"posterior":[16],"vitreous":[17],"detachment":[18],"(PVD)":[19],"are":[20,218],"two":[21,30,111],"common":[22],"eye":[23],"diseases,":[24],"Now,":[25],"diagnosis":[27],"of":[28,44,96,113,133,152,206,209,212,215],"these":[29],"diseases":[31],"mainly":[32,150],"relies":[33],"on":[34,188],"manual":[35,47],"identification":[36],"by":[37,192,221],"doctors.":[38],"This":[39,63],"method":[40],"has":[41,185],"disadvantages":[43],"time-consuming":[45],"investment,":[48],"so":[49],"it":[50,103],"very":[52],"meaningful":[53],"to":[54,58,68,74,99,106,168,170],"use":[55],"computer":[56],"technology":[57],"assist":[59],"doctors":[60],"diagnosis.":[62],"paper":[64],"first":[67,162],"apply":[69],"deep":[71],"learning":[72],"model":[73],"VO":[75,134],"PVD":[77,136],"tasks.":[79],"Convolutional":[80],"neural":[81,125],"network":[82,126,144],"(CNN)":[83],"widely":[85],"used":[86],"classification.":[89],"Traditional":[90],"CNN":[91],"requires":[92],"large":[94],"amount":[95],"training":[97],"data":[98],"prevent":[100],"overfitting,":[101],"difficult":[105],"learn":[107],"differences":[109],"between":[110],"kinds":[112],"images":[114],"well.":[115],"In":[116],"this":[117],"paper,":[118],"we":[119],"propose":[120],"an":[121],"end-to-end":[122],"siamese":[123],"convolutional":[124],"with":[127,156,228],"multi-attention":[128],"(SVK_MA)":[129],"for":[130],"automatic":[131],"fundus":[137],"images.":[139],"SVK_MA":[140,169],"siamese-structure":[143],"which":[146,217],"each":[147],"branch":[148],"composed":[151],"pretrained":[153],"VGG16":[154],"embedded":[155],"multiple":[157],"attention":[158],"models.":[159],"Each":[160],"normalized,":[164],"then":[165],"sent":[167],"extract":[171],"features":[172],"from":[173],"normalized":[175],"images,":[176],"finally":[178],"gets":[179],"result.":[182],"Our":[183],"approach":[184,202],"been":[186],"validated":[187],"dataset":[190],"provided":[191],"cooperative":[194],"hospital.":[195],"The":[196],"experimental":[197],"results":[198],"show":[199],"that":[200],"our":[201],"achieves":[203],"accuracy":[205],"0.940,":[207,213],"precision":[208],"0.941,":[210],"recall":[211],"F1":[214],"0.939":[216],"respectively":[219],"increased":[220],"2.5%,":[222],"1.9%,":[223],"3.4%":[224],"2.5%":[226],"compared":[227],"second":[230],"highest":[231],"model.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}
