{"id":"https://openalex.org/W4308233814","doi":"https://doi.org/10.1109/icip46576.2022.9897447","title":"Vessel Segmentation and Dirt/Reflection Detection For Retinal Fundus Photographs","display_name":"Vessel Segmentation and Dirt/Reflection Detection For Retinal Fundus Photographs","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308233814","doi":"https://doi.org/10.1109/icip46576.2022.9897447"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897447","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5061941573","display_name":"Meng-Hsuan Chang","orcid":"https://orcid.org/0009-0007-8371-6459"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Meng-Hsuan Chang","raw_affiliation_strings":["National Tsing Hua University,Inst. Communications Engineering,Hsinchu,Taiwan","Inst. Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,Inst. Communications Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Inst. Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101782103","display_name":"Chih\u2010Ying Chen","orcid":"https://orcid.org/0009-0004-9199-5652"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Ying Chen","raw_affiliation_strings":["Fu Jen Catholic University,Dept. Statistics and Information Science,New Taipei City,Taiwan","Dept. Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Fu Jen Catholic University,Dept. Statistics and Information Science,New Taipei City,Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Dept. Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038300748","display_name":"Chih-Han Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Han Yu","raw_affiliation_strings":["Fu Jen Catholic University,Dept. Statistics and Information Science,New Taipei City,Taiwan","Dept. Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Fu Jen Catholic University,Dept. Statistics and Information Science,New Taipei City,Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Dept. Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089025176","display_name":"Hao-Chiang Shao","orcid":"https://orcid.org/0000-0002-3749-234X"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hao-Chiang Shao","raw_affiliation_strings":["National Chung Hsing University,Inst. Data Science and Information Computing,Taichung,Taiwan","Inst. Data Science and Information Computing, National Chung Hsing University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Inst. Data Science and Information Computing,Taichung,Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Inst. Data Science and Information Computing, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051264473","display_name":"Chia\u2010Wen Lin","orcid":"https://orcid.org/0000-0002-9097-2318"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Wen Lin","raw_affiliation_strings":["National Tsing Hua University,Inst. Communications Engineering,Hsinchu,Taiwan","Inst. Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,Inst. Communications Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Inst. Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061941573"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.2235,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4571172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2007","issue":null,"first_page":"3953","last_page":"3957"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9800000190734863,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9781000018119812,"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/dirt","display_name":"Dirt","score":0.7227902412414551},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.6047866940498352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5317913889884949},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.5283613801002502},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4961725175380707},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.46498793363571167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43425253033638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4009900987148285},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13323798775672913},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13022899627685547},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11828699707984924},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.11576032638549805}],"concepts":[{"id":"https://openalex.org/C2778582501","wikidata":"https://www.wikidata.org/wiki/Q555882","display_name":"Dirt","level":2,"score":0.7227902412414551},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.6047866940498352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5317913889884949},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.5283613801002502},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4961725175380707},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.46498793363571167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43425253033638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4009900987148285},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13323798775672913},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13022899627685547},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11828699707984924},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.11576032638549805},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897447","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W166117271","https://openalex.org/W1091878006","https://openalex.org/W1901129140","https://openalex.org/W1989321650","https://openalex.org/W2072130234","https://openalex.org/W2093545979","https://openalex.org/W2115185191","https://openalex.org/W2145305441","https://openalex.org/W2145803225","https://openalex.org/W2150769593","https://openalex.org/W2194775991","https://openalex.org/W2464708700","https://openalex.org/W2905338897","https://openalex.org/W2955758626","https://openalex.org/W2962793481","https://openalex.org/W2962914239","https://openalex.org/W2963073614","https://openalex.org/W2982397699","https://openalex.org/W3006089892","https://openalex.org/W3012993789","https://openalex.org/W3013766724","https://openalex.org/W3035131250","https://openalex.org/W3035346684","https://openalex.org/W3043431450","https://openalex.org/W3096831136","https://openalex.org/W3163640608","https://openalex.org/W3195158041","https://openalex.org/W3204269019","https://openalex.org/W4246193833"],"related_works":["https://openalex.org/W2057213227","https://openalex.org/W2483334712","https://openalex.org/W2077604717","https://openalex.org/W2352212546","https://openalex.org/W195039303","https://openalex.org/W2157479968","https://openalex.org/W2921959338","https://openalex.org/W2036897369","https://openalex.org/W2382531111","https://openalex.org/W2381195684"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2,61,157],"adversarial":[3],"training":[4,117],"framework":[5,25,63],"to":[6],"simultaneously":[7],"address":[8],"the":[9,43,81,99,106,151],"vessel":[10,73],"segmentation":[11,41,74,82,123,142],"and":[12,42,83,97,124,135,150],"dirt/reflection":[13],"removal":[14,127],"problems":[15],"in":[16],"fundus":[17],"photographs":[18],"used":[19],"for":[20,40,45],"diabetic":[21],"retinopathy":[22],"diagnosis.":[23],"This":[24],"contains":[26],"two":[27,48],"primary":[28],"subnetworks,":[29],"each":[30,55],"triggered":[31],"by":[32],"a":[33,65,72,88,110],"set":[34,147],"of":[35,54,140,144,160],"loss":[36,89],"terms,":[37],"i.e.,":[38],"one":[39],"other":[44,56,131],"reconstruction.":[46],"These":[47],"subnetworks":[49],"act":[50],"as":[51],"inverse":[52],"functions":[53],"so":[57],"that":[58,105],"they":[59],"form":[60],"autoencoder":[62],"with":[64],"2-dimensional":[66],"latent":[67],"code,":[68],"which":[69],"can":[70,121,155],"be":[71],"mask":[75],"after":[76],"binarization.":[77],"To":[78],"further":[79],"improve":[80],"reconstruction":[84,153],"performance,":[85],"we":[86],"devise":[87],"function":[90],"based":[91],"on":[92,115,130],"gradient":[93],"vector":[94],"flow":[95],"(GVF)":[96],"reorganize":[98],"generator":[100],"network.":[101],"Experimental":[102],"results":[103,128,143,154],"show":[104],"proposed":[107],"method":[108],"has":[109],"good":[111],"generalization":[112],"capability.":[113],"Trained":[114],"DRIVE\u2019s":[116,145],"set,":[118],"our":[119,141],"model":[120],"produce":[122],"reconstruction-based":[125],"artifact":[126],"stably":[129],"datasets":[132],"like":[133],"CHASE-DB1":[134],"STARE.":[136],"The":[137],"average":[138,158],"F1-score":[139],"testing":[146],"reaches":[148],"0.7964,":[149],"artifact-free":[152],"achieve":[156],"PSNR":[159],"24":[161],"dB.":[162]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
