{"id":"https://openalex.org/W3158710754","doi":"https://doi.org/10.1007/s11548-021-02340-1","title":"\u201cKeep it simple, scholar\u201d: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging","display_name":"\u201cKeep it simple, scholar\u201d: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging","publication_year":2021,"publication_date":"2021-04-30","ids":{"openalex":"https://openalex.org/W3158710754","doi":"https://doi.org/10.1007/s11548-021-02340-1","mag":"3158710754","pmid":"https://pubmed.ncbi.nlm.nih.gov/33929676"},"language":"en","primary_location":{"id":"doi:10.1007/s11548-021-02340-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-021-02340-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-021-02340-1.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11548-021-02340-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003767673","display_name":"Weilin Fu","orcid":"https://orcid.org/0000-0003-4805-5222"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210110240","display_name":"Max Planck Institute for the Science of Light","ror":"https://ror.org/020as7681","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210110240"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Weilin Fu","raw_affiliation_strings":["International Max Planck Research School for Physics of Light, Erlangen, Germany. weilin.fu@fau.de","Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany. weilin.fu@fau.de","Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4805-5222","affiliations":[{"raw_affiliation_string":"International Max Planck Research School for Physics of Light, Erlangen, Germany. weilin.fu@fau.de","institution_ids":["https://openalex.org/I4210110240"]},{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany. weilin.fu@fau.de","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025681380","display_name":"Katharina Breininger","orcid":"https://orcid.org/0000-0001-7600-5869"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Katharina Breininger","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010021475","display_name":"Roman Schaffert","orcid":"https://orcid.org/0000-0002-0700-6216"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roman Schaffert","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070994432","display_name":"Zhaoya Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zhaoya Pan","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101619735","display_name":"Andreas Maier","orcid":"https://orcid.org/0000-0002-9550-5284"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Maier","raw_affiliation_strings":["Erlangen Graduate School in Advanced Optical Technologies, Erlangen, Germany","Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9550-5284","affiliations":[{"raw_affiliation_string":"Erlangen Graduate School in Advanced Optical Technologies, Erlangen, Germany","institution_ids":[]},{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003767673"],"corresponding_institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210110240"],"apc_list":{"value":3390,"currency":"EUR","value_usd":4390},"apc_paid":{"value":3390,"currency":"EUR","value_usd":4390},"fwci":0.4302,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62126152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"16","issue":"6","first_page":"967","last_page":"978"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9937000274658203,"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":0.9937000274658203,"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":0.0010000000474974513,"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.0007999999797903001,"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":0.8215963840484619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7923797369003296},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7480385899543762},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.671123743057251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.601032018661499},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5576916933059692},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.5441197156906128},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5352829694747925},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4919307231903076},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.44221633672714233},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.43960779905319214},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4274163246154785},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4164397120475769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41432899236679077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3419000208377838},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.28225088119506836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09354439377784729}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8215963840484619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7923797369003296},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7480385899543762},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.671123743057251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.601032018661499},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5576916933059692},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.5441197156906128},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5352829694747925},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4919307231903076},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.44221633672714233},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.43960779905319214},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4274163246154785},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4164397120475769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41432899236679077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3419000208377838},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28225088119506836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09354439377784729},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012164","descriptor_name":"Retinal Diseases","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012164","descriptor_name":"Retinal Diseases","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012164","descriptor_name":"Retinal Diseases","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012164","descriptor_name":"Retinal Diseases","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1007/s11548-021-02340-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-021-02340-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-021-02340-1.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},{"id":"pmid:33929676","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33929676","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International journal of computer assisted radiology and surgery","raw_type":null},{"id":"pmh:oai:frl.publisso.de:frl:6444543","is_oa":true,"landing_page_url":"https://repository.publisso.de/resource/frl:6444543","pdf_url":null,"source":{"id":"https://openalex.org/S4377196269","display_name":"PUBLISSO (German National Library of Medicine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210112663","host_organization_name":"ZB MED - Information Centre for Life Sciences","host_organization_lineage":["https://openalex.org/I4210112663"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lobid.org/resources/99370675073906441#!, 16(6):967-978","raw_type":"Zeitschriftenartikel"},{"id":"pmh:oai:pubmedcentral.nih.gov:8166700","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8166700","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int J Comput Assist Radiol Surg","raw_type":"Text"},{"id":"pmh:oai:ub.uni-erlangen.de-opus:22315","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-223155","pdf_url":null,"source":{"id":"https://openalex.org/S4306401636","display_name":"OPUS Repository (Kooperativer Bibliotheksverbund Berlin-Brandenburg)","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s11548-021-02340-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-021-02340-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-021-02340-1.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G6741976783","display_name":null,"funder_award_id":"810316","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3158710754.pdf","grobid_xml":"https://content.openalex.org/works/W3158710754.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1519828808","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1901129140","https://openalex.org/W1909740415","https://openalex.org/W1986457517","https://openalex.org/W1996546081","https://openalex.org/W2001412060","https://openalex.org/W2010965043","https://openalex.org/W2038469443","https://openalex.org/W2049822456","https://openalex.org/W2069951134","https://openalex.org/W2072130234","https://openalex.org/W2082571018","https://openalex.org/W2097998348","https://openalex.org/W2104195344","https://openalex.org/W2116255423","https://openalex.org/W2122644916","https://openalex.org/W2124351162","https://openalex.org/W2129098176","https://openalex.org/W2129534965","https://openalex.org/W2134097396","https://openalex.org/W2138480916","https://openalex.org/W2150769593","https://openalex.org/W2152990105","https://openalex.org/W2166524747","https://openalex.org/W2194775991","https://openalex.org/W2197648668","https://openalex.org/W2320230300","https://openalex.org/W2327793514","https://openalex.org/W2432555109","https://openalex.org/W2513326255","https://openalex.org/W2592848770","https://openalex.org/W2788906943","https://openalex.org/W2884436604","https://openalex.org/W2893299523","https://openalex.org/W2895121927","https://openalex.org/W2896123015","https://openalex.org/W2905338897","https://openalex.org/W2907750714","https://openalex.org/W2914272101","https://openalex.org/W2949117887","https://openalex.org/W2955571529","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963840672","https://openalex.org/W2964118901","https://openalex.org/W2964227007","https://openalex.org/W2966708817","https://openalex.org/W2979474465","https://openalex.org/W2982468271","https://openalex.org/W3010066814","https://openalex.org/W3013461022","https://openalex.org/W3014974815","https://openalex.org/W3098547059","https://openalex.org/W3112701542","https://openalex.org/W4252890567","https://openalex.org/W4324056437","https://openalex.org/W6600120041","https://openalex.org/W6602254124","https://openalex.org/W6679338098"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4293226380","https://openalex.org/W2374520121","https://openalex.org/W2371138613","https://openalex.org/W2912321008","https://openalex.org/W2048963458","https://openalex.org/W1998607122","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2967742050"],"abstract_inverted_index":{"PURPOSE:":[0],"With":[1],"the":[2,22,29,41,45,57,72,77,85,89,96,118,122,128,136,143,149,166,190,199,209,212,218,223,230,235,262,284,296],"recent":[3],"development":[4],"of":[5,28,40,47,76,91,98,121,148,214,217,229,252,287],"deep":[6],"learning":[7],"technologies,":[8],"various":[9],"neural":[10],"networks":[11,49,124,180],"have":[12,181,265],"been":[13],"proposed":[14],"for":[15,74,295],"fundus":[16],"retinal":[17,242],"vessel":[18,243],"segmentation.":[19],"Among":[20],"them,":[21],"U-Net":[23,191,219,225,253],"is":[24,103,187,220,227,232],"regarded":[25],"as":[26],"one":[27,160,163,173,210],"most":[30],"successful":[31],"architectures.":[32],"In":[33,116],"this":[34,51],"work,":[35],"we":[36,68],"start":[37],"with":[38,59,172,272],"simplification":[39],"U-Net,":[42],"and":[43,63,94,114,222,293],"explore":[44],"performance":[46,147],"few-parameter":[48,123,179],"on":[50,106],"task.":[52],"METHODS:":[53],"We":[54,133,175,258],"firstly":[55],"modify":[56],"model":[58,274,291],"popular":[60],"functional":[61],"blocks":[62],"additional":[64],"resolution":[65],"levels,":[66],"then":[67],"switch":[69],"to":[70,83,279,283],"exploring":[71],"limits":[73],"compression":[75],"network":[78,86],"architecture.":[79],"Experiments":[80],"are":[81,125,151,157],"designed":[82],"simplify":[84],"structure,":[87],"decrease":[88],"number":[90],"trainable":[92],"parameters,":[93],"reduce":[95],"amount":[97],"training":[99],"data.":[100],"Performance":[101],"evaluation":[102],"carried":[104],"out":[105],"four":[107],"public":[108],"databases,":[109],"namely":[110],"DRIVE,":[111],"STARE,":[112],"HRF":[113],"CHASE_DB1.":[115],"addition,":[117],"generalization":[119,183,267],"ability":[120,268],"compared":[126],"against":[127],"state-of-the-art":[129,256,270],"segmentation":[130,144,195,244],"network.":[131],"RESULTS:":[132],"demonstrate":[134,177],"that":[135,178,189,241,261],"additive":[137],"variants":[138],"do":[139],"not":[140,152],"significantly":[141],"improve":[142],"performance.":[145,257],"The":[146],"models":[150,271],"severely":[153],"harmed":[154],"unless":[155],"they":[156],"harshly":[158],"degenerated:":[159],"level,":[161],"or":[162,170],"filter":[164],"in":[165,281,290],"input":[167],"convolutional":[168],"layer,":[169],"trained":[171],"image.":[174],"also":[176,259],"strong":[182],"ability.":[184],"CONCLUSION:":[185],"It":[186],"counter-intuitive":[188],"produces":[192],"reasonably":[193],"good":[194],"predictions":[196],"until":[197],"reaching":[198,254],"mentioned":[200],"limits.":[201],"Our":[202],"work":[203,239],"has":[204],"two":[205],"main":[206],"contributions.":[207],"On":[208,234],"hand,":[211,237],"importance":[213],"different":[215],"elements":[216],"evaluated,":[221],"minimal":[224],"which":[226],"capable":[228],"task":[231,297],"presented.":[233],"other":[236],"our":[238],"demonstrates":[240],"can":[245],"be":[246,280],"tackled":[247],"by":[248],"surprisingly":[249],"simple":[250,263],"configurations":[251,264],"almost":[255],"show":[260],"better":[266],"than":[269],"high":[273],"complexity.":[275],"These":[276],"observations":[277],"seem":[278],"contradiction":[282],"current":[285],"trend":[286],"continued":[288],"increase":[289],"complexity":[292],"capacity":[294],"under":[298],"consideration.":[299]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}
