{"id":"https://openalex.org/W3201509399","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534118","title":"Mask Region-oriented Diabetic Retinopathies Detection in Ophthalmic Medical Images via Non-local Attention","display_name":"Mask Region-oriented Diabetic Retinopathies Detection in Ophthalmic Medical Images via Non-local Attention","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201509399","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534118","mag":"3201509399"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5009134128","display_name":"Hongtian Zhao","orcid":"https://orcid.org/0000-0003-2659-8955"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongtian Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067708627","display_name":"Haoyue Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoyue Peng","raw_affiliation_strings":["Yitu Tech, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Yitu Tech, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047926878","display_name":"Zhongpai Gao","orcid":"https://orcid.org/0000-0003-4344-4501"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongpai Gao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100943078","display_name":"Shibao Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibao Zheng","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009134128"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17516088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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":1.0,"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.992900013923645,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9832000136375427,"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":0.7511555552482605},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.726257860660553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6706059575080872},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.570266604423523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4728417992591858},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.46977561712265015},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4667781889438629},{"id":"https://openalex.org/keywords/cotton-wool-spots","display_name":"Cotton wool spots","score":0.42985308170318604},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.1498366892337799},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14846083521842957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7511555552482605},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.726257860660553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6706059575080872},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.570266604423523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4728417992591858},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.46977561712265015},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4667781889438629},{"id":"https://openalex.org/C2776689232","wikidata":"https://www.wikidata.org/wiki/Q5175762","display_name":"Cotton wool spots","level":4,"score":0.42985308170318604},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.1498366892337799},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14846083521842957},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3479157526","display_name":null,"funder_award_id":"62071292,61771303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7814127966","display_name":null,"funder_award_id":"18DZ2270700","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W639708223","https://openalex.org/W1091878006","https://openalex.org/W1533861849","https://openalex.org/W1536680647","https://openalex.org/W1901129140","https://openalex.org/W1969496006","https://openalex.org/W1985390817","https://openalex.org/W1995023030","https://openalex.org/W2009618608","https://openalex.org/W2010099973","https://openalex.org/W2037832150","https://openalex.org/W2097073572","https://openalex.org/W2131716693","https://openalex.org/W2148989106","https://openalex.org/W2162698990","https://openalex.org/W2165952271","https://openalex.org/W2166466781","https://openalex.org/W2194775991","https://openalex.org/W2327463450","https://openalex.org/W2344912502","https://openalex.org/W2502390809","https://openalex.org/W2565639579","https://openalex.org/W2775667834","https://openalex.org/W2785881880","https://openalex.org/W2806070179","https://openalex.org/W2885366144","https://openalex.org/W2887113834","https://openalex.org/W2891112683","https://openalex.org/W2898936434","https://openalex.org/W2910853374","https://openalex.org/W2963091558","https://openalex.org/W2963881378","https://openalex.org/W2965191493","https://openalex.org/W2979830325","https://openalex.org/W3009238059","https://openalex.org/W3015209252","https://openalex.org/W3035941285","https://openalex.org/W3036444602","https://openalex.org/W4237938455","https://openalex.org/W4241028886","https://openalex.org/W6604653223","https://openalex.org/W6631943919","https://openalex.org/W6639824700","https://openalex.org/W6753672692","https://openalex.org/W6758415438"],"related_works":["https://openalex.org/W3032748257","https://openalex.org/W2942150858","https://openalex.org/W3016645901","https://openalex.org/W4251447492","https://openalex.org/W2359682963","https://openalex.org/W2218711790","https://openalex.org/W3033442124","https://openalex.org/W2182536798","https://openalex.org/W3201357285","https://openalex.org/W2342153116"],"abstract_inverted_index":{"Accurate":[0],"lesions":[1,22],"detection":[2,60],"on":[3,155],"retinopathy":[4],"images":[5],"is":[6,15,98,127,133],"crucial":[7],"for":[8,47,62,89,108,129,158],"the":[9,90,101,110,119,122,124,142,163,167],"diagnosis":[10],"of":[11,21,50,121,166],"diabetes.":[12],"However,":[13],"it":[14],"always":[16],"hampered":[17],"by":[18],"various":[19],"characteristics":[20],"such":[23],"as":[24,103],"shape,":[25],"color,":[26],"texture,":[27],"and":[28,42,65,137],"similarities.":[29],"Most":[30],"advanced":[31],"algorithms":[32],"still":[33],"cannot":[34],"automatically":[35],"detect":[36],"common":[37],"lesions,":[38],"e.g.":[39],"exudate,":[40],"hemorrhage,":[41],"cotton-wool":[43],"spots,":[44],"being":[45],"used":[46,88],"comprehensive":[48],"analysis":[49],"disease":[51,68],"state.":[52],"To":[53],"this":[54,72],"end,":[55],"we":[56],"present":[57],"a":[58,77,94,104,148],"multi-functional":[59],"model":[61],"diabetic":[63],"retinopathies":[64],"further":[66],"analyze":[67],"mechanisms":[69],"overall.":[70],"Specifically,":[71],"paper":[73],"attempts":[74],"to":[75,100,117],"implement":[76],"multi-lesion":[78],"detector":[79,102],"via":[80,139],"modified":[81],"Mask":[82],"region-oriented":[83],"CNN,":[84],"which":[85],"can":[86],"be":[87],"aforementioned":[91],"retinopathies.":[92],"Meanwhile,":[93],"non-local":[95],"attention":[96,106],"module":[97],"introduced":[99],"spatial":[105],"mechanism":[107],"handling":[109],"global":[111],"information":[112],"missing":[113],"problem.":[114],"In":[115],"addition,":[116],"boost":[118],"effectiveness":[120],"detector,":[123],"dilated":[125],"operation":[126],"implemented":[128],"dataset":[130],"preprocessing.":[131],"Improvement":[132],"achieved":[134],"both":[135],"algorithmically":[136],"architecturally,":[138],"investigating":[140],"thoroughly":[141],"most":[143],"probable":[144],"lesion":[145],"category":[146],"with":[147],"novel":[149],"ensemble":[150],"learning":[151],"framework.":[152],"Extensive":[153],"experiments":[154],"standard":[156],"datasets":[157],"three":[159],"different":[160],"tasks":[161],"evidence":[162],"superior":[164],"performance":[165],"proposed":[168],"method":[169],"over":[170],"state-of-the-art":[171],"methods.":[172]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
