{"id":"https://openalex.org/W4303709948","doi":"https://doi.org/10.3390/info13100472","title":"Multi-Organ Segmentation Using a Low-Resource Architecture","display_name":"Multi-Organ Segmentation Using a Low-Resource Architecture","publication_year":2022,"publication_date":"2022-09-30","ids":{"openalex":"https://openalex.org/W4303709948","doi":"https://doi.org/10.3390/info13100472"},"language":"en","primary_location":{"id":"doi:10.3390/info13100472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13100472","pdf_url":"https://www.mdpi.com/2078-2489/13/10/472/pdf?version=1666594423","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/13/10/472/pdf?version=1666594423","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036161532","display_name":"Valentin Ogrean","orcid":"https://orcid.org/0000-0002-3656-1534"},"institutions":[{"id":"https://openalex.org/I124121301","display_name":"Lucian Blaga University of Sibiu","ror":"https://ror.org/026gdz537","country_code":"RO","type":"education","lineage":["https://openalex.org/I124121301"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Valentin Ogrean","raw_affiliation_strings":["Faculty of Engineering, Computer Science, \u201cLucian Blaga\u201d University of Sibiu, 550024 Sibiu, Romania","Faculty of Engineering, Computer Science, \"Lucian Blaga\" University of Sibiu, 550024 Sibiu, Romania"],"raw_orcid":"https://orcid.org/0000-0002-3656-1534","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Computer Science, \u201cLucian Blaga\u201d University of Sibiu, 550024 Sibiu, Romania","institution_ids":["https://openalex.org/I124121301"]},{"raw_affiliation_string":"Faculty of Engineering, Computer Science, \"Lucian Blaga\" University of Sibiu, 550024 Sibiu, Romania","institution_ids":["https://openalex.org/I124121301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080427828","display_name":"Remus Brad","orcid":"https://orcid.org/0000-0001-8100-1379"},"institutions":[{"id":"https://openalex.org/I124121301","display_name":"Lucian Blaga University of Sibiu","ror":"https://ror.org/026gdz537","country_code":"RO","type":"education","lineage":["https://openalex.org/I124121301"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Remus Brad","raw_affiliation_strings":["Faculty of Engineering, Computer Science, \u201cLucian Blaga\u201d University of Sibiu, 550024 Sibiu, Romania","Faculty of Engineering, Computer Science, \"Lucian Blaga\" University of Sibiu, 550024 Sibiu, Romania"],"raw_orcid":"https://orcid.org/0000-0001-8100-1379","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Computer Science, \u201cLucian Blaga\u201d University of Sibiu, 550024 Sibiu, Romania","institution_ids":["https://openalex.org/I124121301"]},{"raw_affiliation_string":"Faculty of Engineering, Computer Science, \"Lucian Blaga\" University of Sibiu, 550024 Sibiu, Romania","institution_ids":["https://openalex.org/I124121301"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036161532"],"corresponding_institution_ids":["https://openalex.org/I124121301"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.3044,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55100514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"13","issue":"10","first_page":"472","last_page":"472"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9994000196456909,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8082922697067261},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7823703289031982},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7056667804718018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6730846166610718},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6020154356956482},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.568029522895813},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5346665978431702},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5117775797843933},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5117063522338867},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.48952019214630127},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4856225550174713},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4846375584602356},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4690419137477875},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.466764897108078},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.43783852458000183},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4331647753715515},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10721582174301147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8082922697067261},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7823703289031982},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7056667804718018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6730846166610718},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6020154356956482},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.568029522895813},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5346665978431702},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5117775797843933},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5117063522338867},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.48952019214630127},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4856225550174713},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4846375584602356},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4690419137477875},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.466764897108078},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.43783852458000183},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4331647753715515},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10721582174301147},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info13100472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13100472","pdf_url":"https://www.mdpi.com/2078-2489/13/10/472/pdf?version=1666594423","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:930d669029b842708b3d25715fb4d391","is_oa":true,"landing_page_url":"https://doaj.org/article/930d669029b842708b3d25715fb4d391","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 13, Iss 10, p 472 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/13/10/472/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info13100472","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Information; Volume 13; Issue 10; Pages: 472","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info13100472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13100472","pdf_url":"https://www.mdpi.com/2078-2489/13/10/472/pdf?version=1666594423","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4303709948.pdf","grobid_xml":"https://content.openalex.org/works/W4303709948.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2082526668","https://openalex.org/W2095705004","https://openalex.org/W2156163116","https://openalex.org/W2294712740","https://openalex.org/W2306911452","https://openalex.org/W2464708700","https://openalex.org/W2526009326","https://openalex.org/W2551780400","https://openalex.org/W2558464646","https://openalex.org/W2564782580","https://openalex.org/W2570702650","https://openalex.org/W2613041730","https://openalex.org/W2767623272","https://openalex.org/W2794103425","https://openalex.org/W2806187986","https://openalex.org/W2904950251","https://openalex.org/W2905562891","https://openalex.org/W2916412824","https://openalex.org/W2922482433","https://openalex.org/W2923997689","https://openalex.org/W2947263797","https://openalex.org/W2949111613","https://openalex.org/W2949736877","https://openalex.org/W2962914239","https://openalex.org/W2964098128","https://openalex.org/W2964180579","https://openalex.org/W2971604852","https://openalex.org/W2978457402","https://openalex.org/W3035665735","https://openalex.org/W3113231417","https://openalex.org/W3162505601","https://openalex.org/W3208968703","https://openalex.org/W4240516607","https://openalex.org/W6674330103","https://openalex.org/W6725543821"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Since":[0],"their":[1,30],"inception,":[2],"deep-learning":[3],"architectures":[4],"have":[5],"shown":[6],"promising":[7],"results":[8,115,181],"for":[9,130],"automatic":[10,35],"segmentation.":[11],"However,":[12],"despite":[13,111],"the":[14,38,68,71,128,142,162,179,183],"technical":[15],"advances":[16],"introduced":[17],"by":[18],"fully":[19],"convolutional":[20],"networks,":[21,28],"generative":[22],"adversarial":[23],"networks":[24],"or":[25],"recurrent":[26],"neural":[27,138],"and":[29,55,98,135,155,178],"usage":[31],"in":[32,37,58,80,173],"hybrid":[33],"architectures,":[34],"segmentation":[36],"medical":[39],"field":[40],"is":[41,50,167],"still":[42],"not":[43],"used":[44],"at":[45],"scale.":[46],"One":[47],"main":[48,75],"reason":[49],"related":[51],"to":[52,78,108,133],"data":[53,65],"scarcity":[54],"quality,":[56],"which":[57],"turn":[59],"generates":[60],"a":[61,122,151,174],"lack":[62],"of":[63,70,89,185],"annotated":[64],"that":[66,110],"hinder":[67],"generalization":[69],"models.":[72,83],"The":[73],"second":[74],"issue":[76],"refers":[77],"challenges":[79],"training":[81,101],"deep":[82,137],"This":[84],"process":[85],"uses":[86],"large":[87],"amounts":[88],"GPU":[90],"memory":[91],"(that":[92],"might":[93],"exceed":[94],"current":[95],"hardware":[96],"limitations)":[97],"requires":[99],"high":[100],"times.":[102],"In":[103,140],"this":[104],"article,":[105],"we":[106,145],"want":[107],"prove":[109,182],"these":[112],"issues,":[113],"good":[114],"can":[116],"be":[117],"obtained":[118],"even":[119],"when":[120],"using":[121],"lower":[123],"resource":[124],"architecture,":[125],"thus":[126],"opening":[127],"way":[129],"more":[131],"researchers":[132],"employ":[134],"use":[136],"networks.":[139],"achieving":[141],"multi-organ":[143],"segmentation,":[144],"are":[146],"employing":[147],"modern":[148],"pre-processing":[149],"techniques,":[150],"smart":[152],"model":[153],"design":[154],"fusion":[156],"between":[157],"several":[158],"models":[159],"trained":[160],"on":[161],"same":[163],"dataset.":[164],"Our":[165],"architecture":[166],"compared":[168],"against":[169],"state-of-the-art":[170],"methods":[171],"employed":[172],"publicly":[175],"available":[176],"challenge":[177],"notable":[180],"effectiveness":[184],"our":[186],"method.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2022-10-09T00:00:00"}
