{"id":"https://openalex.org/W4206897780","doi":"https://doi.org/10.1109/ssci50451.2021.9660077","title":"UUnet: An effective cascade Unet for automatic segmentation of renal parenchyma","display_name":"UUnet: An effective cascade Unet for automatic segmentation of renal parenchyma","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4206897780","doi":"https://doi.org/10.1109/ssci50451.2021.9660077"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9660077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660077","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5087488610","display_name":"Gaoyu Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoyu Cao","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080158846","display_name":"Zhanquan Sun","orcid":"https://orcid.org/0000-0002-6911-6437"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanquan Sun","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068807716","display_name":"Minlan Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minlan Pan","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023769866","display_name":"Jiangfei Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangfei Pang","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689914","display_name":"Zhiqiang He","orcid":"https://orcid.org/0000-0003-3103-1902"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang He","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014436276","display_name":"Jiayu Shen","orcid":"https://orcid.org/0000-0002-7222-2492"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Shen","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9950000047683716,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9950000047683716,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9940000176429749,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9656999707221985,"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/segmentation","display_name":"Segmentation","score":0.8476850390434265},{"id":"https://openalex.org/keywords/parenchyma","display_name":"Parenchyma","score":0.7336863279342651},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.6714545488357544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6691309213638306},{"id":"https://openalex.org/keywords/renal-parenchyma","display_name":"Renal parenchyma","score":0.5943325757980347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5590208768844604},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5021927356719971},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.4483465552330017},{"id":"https://openalex.org/keywords/diuretic","display_name":"Diuretic","score":0.4465067386627197},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44046998023986816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33814162015914917},{"id":"https://openalex.org/keywords/kidney","display_name":"Kidney","score":0.3271794319152832},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.268392413854599},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25984930992126465},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15826529264450073},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.10664451122283936},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.056026071310043335}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8476850390434265},{"id":"https://openalex.org/C196822366","wikidata":"https://www.wikidata.org/wiki/Q270524","display_name":"Parenchyma","level":2,"score":0.7336863279342651},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.6714545488357544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6691309213638306},{"id":"https://openalex.org/C2909454230","wikidata":"https://www.wikidata.org/wiki/Q270524","display_name":"Renal parenchyma","level":3,"score":0.5943325757980347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5590208768844604},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5021927356719971},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.4483465552330017},{"id":"https://openalex.org/C2779918671","wikidata":"https://www.wikidata.org/wiki/Q200656","display_name":"Diuretic","level":2,"score":0.4465067386627197},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44046998023986816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33814162015914917},{"id":"https://openalex.org/C2780091579","wikidata":"https://www.wikidata.org/wiki/Q9377","display_name":"Kidney","level":2,"score":0.3271794319152832},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.268392413854599},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25984930992126465},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15826529264450073},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.10664451122283936},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.056026071310043335},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci50451.2021.9660077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660077","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G7048147014","display_name":null,"funder_award_id":"19ZR1436000","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1584247442","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2029751032","https://openalex.org/W2066239967","https://openalex.org/W2078234387","https://openalex.org/W2082776943","https://openalex.org/W2114118631","https://openalex.org/W2123410556","https://openalex.org/W2163605009","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2757657459","https://openalex.org/W2768956845","https://openalex.org/W2919115771","https://openalex.org/W2963037989","https://openalex.org/W2963429638","https://openalex.org/W2973850056","https://openalex.org/W3012618518","https://openalex.org/W3091780972","https://openalex.org/W3091860120","https://openalex.org/W3127138535","https://openalex.org/W6620707391","https://openalex.org/W6628973269","https://openalex.org/W6639824700","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2994075061","https://openalex.org/W1597477740","https://openalex.org/W1973754529","https://openalex.org/W2425946591","https://openalex.org/W4206458007","https://openalex.org/W2529267903","https://openalex.org/W2573670318","https://openalex.org/W120161250","https://openalex.org/W2403591168","https://openalex.org/W1995670609"],"abstract_inverted_index":{"Although":[0],"deep":[1],"learning":[2],"image":[3,12,35],"segmentation":[4,69,76,96,131],"technology":[5],"has":[6,28],"achieved":[7],"good":[8],"results":[9],"in":[10,88,153],"medical":[11],"processing,":[13],"it":[14],"is":[15,44,78,98,151],"still":[16],"challenging":[17],"to":[18,46,72,80,99,124],"segment":[19,48,65,100],"renal":[20,49,91,102,135,155],"parenchyma":[21,50,103,156],"from":[22,70,104],"diuretic":[23,26,90],"renography.":[24],"The":[25,74,93,137],"nephrogram":[27],"the":[29,53,82,86,89,101,105,109,113,116,121,134,141,148,154],"characteristics":[30],"of":[31,85,108,133],"obvious":[32],"noise,":[33],"poor":[34],"quality,":[36],"unclear":[37],"boundary":[38],"and":[39,128,147],"serious":[40],"redundant":[41],"information.":[42],"It":[43],"difficult":[45],"accurately":[47],"directly":[51],"using":[52],"classical":[54],"Unet":[55],"network.":[56],"Therefore,":[57],"we":[58],"propose":[59],"a":[60,64,125],"cascaded":[61,94],"network,":[62],"i.e.":[63],"network":[66,118,150],"that":[67,140],"realize":[68],"coarse":[71,75],"fine.":[73],"model":[77,97],"used":[79],"obtain":[81],"suggested":[83,106],"area":[84],"kidney":[87],"image.":[92],"fine":[95],"region":[107],"kidney.":[110],"Compared":[111],"with":[112],"original":[114],"Unet,":[115],"cascade":[117],"can":[119],"reduce":[120],"noise":[122],"interference":[123],"large":[126],"extent":[127],"get":[129],"better":[130],"performance":[132],"parenchyma.":[136],"experiment":[138],"showed":[139],"dice":[142],"coefficient":[143],"increased":[144],"by":[145],"9.78%,":[146],"proposed":[149],"efficient":[152],"segmentation.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}