{"id":"https://openalex.org/W4390549944","doi":"https://doi.org/10.1109/sita60746.2023.10373700","title":"A Comparative Study of SAM\u2019s Performance Against Three U-Net Architectures on Retinal Vessels Segmentation Task","display_name":"A Comparative Study of SAM\u2019s Performance Against Three U-Net Architectures on Retinal Vessels Segmentation Task","publication_year":2023,"publication_date":"2023-11-22","ids":{"openalex":"https://openalex.org/W4390549944","doi":"https://doi.org/10.1109/sita60746.2023.10373700"},"language":"en","primary_location":{"id":"doi:10.1109/sita60746.2023.10373700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sita60746.2023.10373700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)","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/A5093646995","display_name":"Yasine Lehmiani","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Yasine Lehmiani","raw_affiliation_strings":["Mohammed V University,L’IMIARF, Faculty of Sciences,Rabat,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohammed V University,L’IMIARF, Faculty of Sciences,Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093646996","display_name":"Sami Belattar","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Sami Belattar","raw_affiliation_strings":["Mohammed V University,L’IMIARF, Faculty of Sciences,Rabat,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohammed V University,L’IMIARF, Faculty of Sciences,Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024242809","display_name":"Abdelhak Mahmoudi","orcid":"https://orcid.org/0000-0003-4141-0623"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdelhak Mahmoudi","raw_affiliation_strings":["Mohammed V University,L’IMIARF, Faculty of Sciences,Rabat,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohammed V University,L’IMIARF, Faculty of Sciences,Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126477371"],"apc_list":null,"apc_paid":null,"fwci":0.4325,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68622264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.993399977684021,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.828850507736206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7810204029083252},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6898859739303589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.684472918510437},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.5990610122680664},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5988433361053467},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5161281824111938},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49132290482521057},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4724341332912445},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.42628777027130127},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4227476119995117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4015422761440277},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37112748622894287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.060180336236953735},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05787506699562073}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.828850507736206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810204029083252},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6898859739303589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.684472918510437},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.5990610122680664},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5988433361053467},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5161281824111938},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49132290482521057},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4724341332912445},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.42628777027130127},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4227476119995117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4015422761440277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37112748622894287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.060180336236953735},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05787506699562073},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sita60746.2023.10373700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sita60746.2023.10373700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)","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/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1909740415","https://openalex.org/W2033723371","https://openalex.org/W2102605133","https://openalex.org/W2129098176","https://openalex.org/W2150769593","https://openalex.org/W2395611524","https://openalex.org/W2587235033","https://openalex.org/W2618530766","https://openalex.org/W2798122215","https://openalex.org/W2884585870","https://openalex.org/W2900257566","https://openalex.org/W2905338897","https://openalex.org/W2952634764","https://openalex.org/W3014512070","https://openalex.org/W3094502228","https://openalex.org/W3124924062","https://openalex.org/W3127751679","https://openalex.org/W3161081823","https://openalex.org/W3162294714","https://openalex.org/W4294001777","https://openalex.org/W4310418908","https://openalex.org/W4364383051","https://openalex.org/W4365816982","https://openalex.org/W4366457071","https://openalex.org/W4385481295","https://openalex.org/W4391929768","https://openalex.org/W6851629250"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2055243143","https://openalex.org/W2611989081","https://openalex.org/W2519676117","https://openalex.org/W2218202131","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W84108837","https://openalex.org/W4294635752","https://openalex.org/W4304166257"],"abstract_inverted_index":{"Semantic":[0],"Segmentation":[1],"is":[2,84,113],"a":[3,17],"pivotal":[4],"undertaking":[5],"within":[6],"the":[7,32,35,67,89,125,129,145,148,153],"domain":[8,45],"of":[9,16,23,34,44,52,91,98,128,147],"medical":[10,18],"imaging":[11],"analysis.":[12],"It":[13],"involves":[14],"partitioning":[15],"image":[19,94],"into":[20],"distinct":[21],"regions":[22],"interest.":[24],"Many":[25],"deep":[26],"learning":[27],"architectures":[28],"has":[29,55,72],"led":[30],"to":[31,42],"automation":[33],"segmentation":[36,95,138],"task,":[37],"yielding":[38],"performance":[39,77,146],"levels":[40],"close":[41],"those":[43],"experts.":[46],"The":[47,111],"U-Net":[48,100,149],"architecture":[49],"and":[50,107],"many":[51],"its":[53],"variants,":[54],"showcased":[56],"their":[57],"effectiveness":[58],"for":[59,63],"this":[60],"task":[61,90],"especially":[62],"biomedical":[64],"images.":[65,81],"Recently,":[66],"Segment":[68],"Anything":[69],"Model":[70],"(SAM)":[71],"been":[73],"released":[74],"showing":[75],"impressive":[76],"in":[78,96],"segmenting":[79],"natural":[80],"This":[82],"paper":[83],"about":[85],"challenging":[86],"SAM":[87,130],"on":[88,115,133],"retinal":[92,118],"vessels":[93],"comparison":[97],"three":[99],"architectures,":[101],"namely":[102],"vanilla":[103],"U-Net,":[104,106],"Attention":[105,109],"Spatial":[108],"U-Net.":[110],"evaluation":[112],"conducted":[114],"five":[116],"diverse":[117],"vessel":[119],"datasets.":[120,155],"Our":[121],"findings":[122],"reveal":[123],"that":[124],"inference":[126],"mode":[127],"model,":[131],"based":[132],"zero-shot":[134],"learning,":[135],"demonstrates":[136],"inferior":[137],"performance.":[139],"However,":[140],"when":[141],"fine-tuned,":[142],"it":[143],"surpassed":[144],"models":[150],"across":[151],"all":[152],"studied":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}