{"id":"https://openalex.org/W4366381322","doi":"https://doi.org/10.1145/3584376.3584545","title":"SU-Net: A retinal segmentation model based on improved U-Net network","display_name":"SU-Net: A retinal segmentation model based on improved U-Net network","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366381322","doi":"https://doi.org/10.1145/3584376.3584545"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","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/A5035364008","display_name":"Mengzhu Yang","orcid":"https://orcid.org/0000-0002-0622-6102"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengzhu Yang","raw_affiliation_strings":["School of Information Science and Engineering, Linyi University, China"],"raw_orcid":"https://orcid.org/0000-0002-0622-6102","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Linyi University, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056140629","display_name":"Yongfang Wang","orcid":"https://orcid.org/0000-0002-8882-6215"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfang Wang","raw_affiliation_strings":["School of Information Science and Engineering, Linyi University, China"],"raw_orcid":"https://orcid.org/0000-0002-8882-6215","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Linyi University, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354153","display_name":"Guoqiang Li","orcid":"https://orcid.org/0000-0002-6577-917X"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Li","raw_affiliation_strings":["School of Information Science and Engineering, Linyi University, China"],"raw_orcid":"https://orcid.org/0000-0002-6577-917X","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Linyi University, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101985939","display_name":"Lintao Zhang","orcid":"https://orcid.org/0000-0003-2234-9476"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lintao Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Linyi University, China"],"raw_orcid":"https://orcid.org/0000-0003-2234-9476","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Linyi University, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047525739","display_name":"Dong Zhu","orcid":"https://orcid.org/0000-0003-4976-715X"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhu","raw_affiliation_strings":["School of Information Science and Engineering, Linyi University, China"],"raw_orcid":"https://orcid.org/0000-0003-4976-715X","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Linyi University, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036615274","display_name":"Chengchao Wang","orcid":"https://orcid.org/0000-0003-3808-2956"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengchao Wang","raw_affiliation_strings":["School of Information Science and Engineering, Linyi University, China"],"raw_orcid":"https://orcid.org/0000-0003-3808-2956","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Linyi University, China","institution_ids":["https://openalex.org/I15823474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28171035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"946","last_page":"950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9976999759674072,"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/T12599","display_name":"Retinal and Optic Conditions","score":0.986299991607666,"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/segmentation","display_name":"Segmentation","score":0.7919854521751404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7428314685821533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7097294330596924},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6290191411972046},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6158033609390259},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5843330025672913},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.5733028650283813},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5302635431289673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.445425420999527},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4128766655921936}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7919854521751404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7428314685821533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7097294330596924},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6290191411972046},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6158033609390259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5843330025672913},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5733028650283813},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5302635431289673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.445425420999527},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4128766655921936},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584376.3584545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2809144587","https://openalex.org/W2884436604","https://openalex.org/W2927980542","https://openalex.org/W3015788359","https://openalex.org/W3112224085","https://openalex.org/W3120586607","https://openalex.org/W3120749915","https://openalex.org/W3123982987","https://openalex.org/W3142251953","https://openalex.org/W3142989267","https://openalex.org/W3146366485","https://openalex.org/W3185105934","https://openalex.org/W3203442146","https://openalex.org/W4285325089","https://openalex.org/W4295934721","https://openalex.org/W6745948533"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074","https://openalex.org/W2372421320"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,80,106,113,126,131,153,209,231],"plays":[2],"a":[3,72],"very":[4],"important":[5],"role":[6],"in":[7,41,51,136],"medical":[8],"diagnosis.":[9],"It":[10],"can":[11,33,60,171],"extract":[12],"information":[13,130,176],"such":[14,119],"as":[15,120,213],"the":[16,27,39,42,63,68,76,82,87,98,109,117,137,166,174,179,188,196,218,224],"area":[17],"of":[18,26,48,65,67,89,111,116,181,187,226],"interest,":[19],"human":[20],"tissue,":[21],"and":[22,31,45,57,93,102,128,207,229,237,239,243],"lesion":[23],"size.":[24],"Diseases":[25],"nervous":[28],"system,":[29],"leukemia,":[30],"diabetes":[32],"cause":[34],"eye":[35],"problems.":[36],"To":[37],"observe":[38],"changes":[40],"distribution,":[43],"structure,":[44],"morphological":[46],"characteristics":[47],"blood":[49],"vessels":[50],"retinal":[52,142,151],"images":[53],"by":[54,193,234],"image":[55,105,112,143,152,182],"segmentation,":[56,144],"it":[58,85],"also":[59],"help":[61],"diagnose":[62],"degree":[64],"lesions":[66],"above":[69],"diseases":[70],"to":[71,95,165,177],"certain":[73],"extent.":[74],"Although":[75],"commonly":[77],"used":[78],"artificial":[79],"is":[81,108,163],"gold":[83],"standard,":[84],"has":[86,232],"disadvantages":[88],"being":[90],"time-consuming,":[91],"power-consuming,":[92],"unable":[94],"reproduce,":[96],"so":[97],"research":[99],"on":[100,195],"accurate":[101],"efficient":[103],"automatic":[104],"method":[107,190],"focus":[110],"research.":[114],"Because":[115],"problems,":[118],"partial":[121],"feature":[122,183],"data":[123,200],"loss,":[124],"low":[125],"accuracy,":[127],"pathological":[129],"errors":[132],"that":[133,223],"may":[134],"occur":[135],"traditional":[138],"U-Net":[139,149,167,219],"model":[140,154],"during":[141],"we":[145],"proposed":[146,189],"an":[147,160],"improved":[148],"based":[150],"\u2013":[155],"SU-Net.":[156],"In":[157],"this":[158],"method,":[159],"attention":[161],"module":[162],"added":[164],"coding":[168],"process,":[169],"which":[170],"fully":[172],"capture":[173],"context":[175],"improve":[178],"accuracy":[180,210,225],"extraction.":[184],"The":[185,202],"effectiveness":[186],"was":[191],"verified":[192],"testing":[194],"publicly":[197],"available":[198],"retina":[199],"set.":[201],"average":[203],"IoU,":[204,227],"Dice":[205],"coefficient,":[206],"global":[208,230],"were":[211],"taken":[212],"evaluation":[214],"indexes.":[215],"Compared":[216],"with":[217],"model,":[220],"experiments":[221],"show":[222],"Dice,":[228],"increased":[233],"0.7,":[235],"0.9,":[236],"0.2,":[238],"reached":[240],"82.4%,":[241],"82.2%,":[242],"95.5%":[244],"respectively.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}