{"id":"https://openalex.org/W4389629196","doi":"https://doi.org/10.1109/icspis60075.2023.10343981","title":"Multi-disease Retinal Vessel Segmentation: A Deep Learning Approach","display_name":"Multi-disease Retinal Vessel Segmentation: A Deep Learning Approach","publication_year":2023,"publication_date":"2023-11-08","ids":{"openalex":"https://openalex.org/W4389629196","doi":"https://doi.org/10.1109/icspis60075.2023.10343981"},"language":"en","primary_location":{"id":"doi:10.1109/icspis60075.2023.10343981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis60075.2023.10343981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Signal Processing and Information Security (ICSPIS)","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/A5100748845","display_name":"Mohammad Tariqul Islam","orcid":"https://orcid.org/0000-0003-1226-3986"},"institutions":[{"id":"https://openalex.org/I35462925","display_name":"Southern Connecticut State University","ror":"https://ror.org/00ramkd50","country_code":"US","type":"education","lineage":["https://openalex.org/I35462925","https://openalex.org/I4210132746"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Tariqul Islam","raw_affiliation_strings":["Southern Connecticut State University,Computer Science Department,New Haven,CT,USA","Computer Science Department, Southern Connecticut State University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Connecticut State University,Computer Science Department,New Haven,CT,USA","institution_ids":["https://openalex.org/I35462925"]},{"raw_affiliation_string":"Computer Science Department, Southern Connecticut State University, New Haven, CT, USA","institution_ids":["https://openalex.org/I35462925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092363918","display_name":"Hesham Zaky","orcid":"https://orcid.org/0009-0004-1173-6125"},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Hesham Zaky","raw_affiliation_strings":["Hamad Bin Khalifa University,College of Science and Engineering,Doha,Qatar","College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hamad Bin Khalifa University,College of Science and Engineering,Doha,Qatar","institution_ids":["https://openalex.org/I4210144839"]},{"raw_affiliation_string":"College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar","institution_ids":["https://openalex.org/I4210144839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073854686","display_name":"Tanvir Alam","orcid":"https://orcid.org/0000-0001-7033-3693"},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Tanvir Alam","raw_affiliation_strings":["Hamad Bin Khalifa University,College of Science and Engineering,Doha,Qatar","College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hamad Bin Khalifa University,College of Science and Engineering,Doha,Qatar","institution_ids":["https://openalex.org/I4210144839"]},{"raw_affiliation_string":"College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar","institution_ids":["https://openalex.org/I4210144839"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4386,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68458708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"144"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9955999851226807,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.6686176657676697},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6364597082138062},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.6101624369621277},{"id":"https://openalex.org/keywords/macular-degeneration","display_name":"Macular degeneration","score":0.604192316532135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5753398537635803},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5665949583053589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5609381198883057},{"id":"https://openalex.org/keywords/biobank","display_name":"Biobank","score":0.5396042466163635},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.5279387831687927},{"id":"https://openalex.org/keywords/retina","display_name":"Retina","score":0.46064072847366333},{"id":"https://openalex.org/keywords/glaucoma","display_name":"Glaucoma","score":0.43579739332199097},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.4282485842704773},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4153772294521332},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.39238572120666504},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.36334770917892456},{"id":"https://openalex.org/keywords/optometry","display_name":"Optometry","score":0.3280180096626282},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.24708738923072815},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11176207661628723},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08662053942680359}],"concepts":[{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.6686176657676697},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6364597082138062},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.6101624369621277},{"id":"https://openalex.org/C2776403814","wikidata":"https://www.wikidata.org/wiki/Q27429789","display_name":"Macular degeneration","level":2,"score":0.604192316532135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5753398537635803},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5665949583053589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5609381198883057},{"id":"https://openalex.org/C116567970","wikidata":"https://www.wikidata.org/wiki/Q864217","display_name":"Biobank","level":2,"score":0.5396042466163635},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.5279387831687927},{"id":"https://openalex.org/C2777093970","wikidata":"https://www.wikidata.org/wiki/Q169342","display_name":"Retina","level":2,"score":0.46064072847366333},{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.43579739332199097},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.4282485842704773},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4153772294521332},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.39238572120666504},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.36334770917892456},{"id":"https://openalex.org/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.3280180096626282},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.24708738923072815},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11176207661628723},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08662053942680359},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspis60075.2023.10343981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis60075.2023.10343981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.75,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332753","display_name":"Qatar National Research Fund","ror":"https://ror.org/01svaqq28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2295107390","https://openalex.org/W2618530766","https://openalex.org/W2767329860","https://openalex.org/W2895693960","https://openalex.org/W2971614929","https://openalex.org/W3012840190","https://openalex.org/W3048610712","https://openalex.org/W3121612669","https://openalex.org/W3132796384","https://openalex.org/W3191934798","https://openalex.org/W4223572678","https://openalex.org/W4282573126","https://openalex.org/W4289844305","https://openalex.org/W4319755420","https://openalex.org/W4386257615","https://openalex.org/W4387491063","https://openalex.org/W6637373629","https://openalex.org/W6695314431"],"related_works":["https://openalex.org/W1980571360","https://openalex.org/W3176448898","https://openalex.org/W4379115808","https://openalex.org/W3207986206","https://openalex.org/W2554284482","https://openalex.org/W2429379476","https://openalex.org/W1979866946","https://openalex.org/W4226141369","https://openalex.org/W2413307231","https://openalex.org/W4361800274"],"abstract_inverted_index":{"The":[0],"structure":[1,29],"of":[2,30,41,121,131],"blood":[3,31],"vessels":[4,32,55],"in":[5,12,43,128],"the":[6,28,78,83,90,105,118,140],"retina":[7],"is":[8,37],"a":[9,38,48],"crucial":[10],"factor":[11],"identifying":[13],"and":[14,23,64,75,98,116],"forecasting":[15],"various":[16],"eye":[17],"diseases":[18,122],"like":[19],"cardiovascular":[20],"diseases,":[21,58],"diabetes,":[22],"other":[24,137],"diseases.":[25],"Therefore,":[26],"detecting":[27],"from":[33],"retinal":[34,112,125],"fundus":[35,126],"images":[36,127],"critical":[39],"field":[40],"research":[42],"healthcare.":[44],"This":[45],"study":[46],"employed":[47],"novel":[49],"deep":[50],"learning":[51],"model":[52],"to":[53,110],"segment":[54],"for":[56,86,96,100],"different":[57],"including":[59],"Glaucoma,":[60],"Diabetic":[61],"Retinopathy":[62],"(DR),":[63],"Age-related":[65],"Macular":[66],"Degeneration":[67],"(AMD).":[68],"We":[69,103],"considered":[70],"multiple":[71],"transfer":[72],"learning-based":[73],"models":[74],"discovered":[76],"that":[77],"ResNet-based":[79],"U-Net":[80],"architecture":[81],"was":[82],"most":[84],"effective":[85],"vessel":[87,113],"segmentation,":[88],"achieving":[89],"highest":[91],"Dice":[92],"Score":[93],"above":[94],"84%":[95],"disease-agnostic,":[97],"82%-84%":[99],"disease-specific":[101],"conditions.":[102],"believe":[104],"proposed":[106],"methodology":[107],"will":[108],"help":[109],"advance":[111],"segmentation":[114],"process":[115,120],"enhance":[117],"screening":[119],"based":[123],"on":[124],"clinical":[129],"settings":[130],"Qatar":[132],"Biobank":[133],"as":[134,136],"well":[135],"biobanks":[138],"across":[139],"globe.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}