{"id":"https://openalex.org/W4206740751","doi":"https://doi.org/10.3390/s22010245","title":"Automatic Pancreatic Cyst Lesion Segmentation on EUS Images Using a Deep-Learning Approach","display_name":"Automatic Pancreatic Cyst Lesion Segmentation on EUS Images Using a Deep-Learning Approach","publication_year":2021,"publication_date":"2021-12-30","ids":{"openalex":"https://openalex.org/W4206740751","doi":"https://doi.org/10.3390/s22010245","pmid":"https://pubmed.ncbi.nlm.nih.gov/35009788"},"language":"en","primary_location":{"id":"doi:10.3390/s22010245","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22010245","pdf_url":"https://www.mdpi.com/1424-8220/22/1/245/pdf?version=1640852018","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/1/245/pdf?version=1640852018","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032201212","display_name":"Seok Hee Oh","orcid":"https://orcid.org/0000-0001-7122-0463"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seok Oh","raw_affiliation_strings":["Gil Medical Center, Department of Biomedical Engineering, Gachon University College of Medicine, Incheon 21565, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gil Medical Center, Department of Biomedical Engineering, Gachon University College of Medicine, Incheon 21565, Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650652","display_name":"Young Jae Kim","orcid":"https://orcid.org/0000-0003-0443-0051"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Jae Kim","raw_affiliation_strings":["Gil Medical Center, Department of Biomedical Engineering, Gachon University College of Medicine, Incheon 21565, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gil Medical Center, Department of Biomedical Engineering, Gachon University College of Medicine, Incheon 21565, Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064928516","display_name":"Young\u2010Taek Park","orcid":"https://orcid.org/0000-0002-7574-4165"},"institutions":[{"id":"https://openalex.org/I4210119818","display_name":"Health Insurance Review and Assessment Service","ror":"https://ror.org/01teyc394","country_code":"KR","type":"government","lineage":["https://openalex.org/I1290491151","https://openalex.org/I2801339556","https://openalex.org/I4210119818"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Taek Park","raw_affiliation_strings":["HIRA Research Institute, Health Insurance Review & Assessment Service (HIRA), Wonju-si 26465, Korea"],"raw_orcid":"https://orcid.org/0000-0002-7574-4165","affiliations":[{"raw_affiliation_string":"HIRA Research Institute, Health Insurance Review & Assessment Service (HIRA), Wonju-si 26465, Korea","institution_ids":["https://openalex.org/I4210119818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073765158","display_name":"Kwang Gi Kim","orcid":"https://orcid.org/0000-0001-9714-6038"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kwang-Gi Kim","raw_affiliation_strings":["Gil Medical Center, Department of Biomedical Engineering, Gachon University College of Medicine, Incheon 21565, Korea"],"raw_orcid":"https://orcid.org/0000-0001-9714-6038","affiliations":[{"raw_affiliation_string":"Gil Medical Center, Department of Biomedical Engineering, Gachon University College of Medicine, Incheon 21565, Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073765158"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.0784,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.90210864,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"245","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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":0.9958000183105469,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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":0.764570415019989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7352998852729797},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5956822633743286},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5458964109420776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5451487898826599},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4883834719657898},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.46034789085388184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4228897988796234},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.41468819975852966},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33245307207107544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23031482100486755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1273057460784912}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.764570415019989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7352998852729797},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5956822633743286},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5458964109420776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5451487898826599},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4883834719657898},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.46034789085388184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4228897988796234},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.41468819975852966},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33245307207107544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23031482100486755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1273057460784912},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":"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":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010181","descriptor_name":"Pancreatic Cyst","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010181","descriptor_name":"Pancreatic Cyst","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010181","descriptor_name":"Pancreatic Cyst","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018592","descriptor_name":"Cross-Over Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018592","descriptor_name":"Cross-Over Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018592","descriptor_name":"Cross-Over Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019160","descriptor_name":"Endosonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019160","descriptor_name":"Endosonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019160","descriptor_name":"Endosonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22010245","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22010245","pdf_url":"https://www.mdpi.com/1424-8220/22/1/245/pdf?version=1640852018","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:35009788","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35009788","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:8bbcdc6e49c9464c90836e214791b8e8","is_oa":true,"landing_page_url":"https://doaj.org/article/8bbcdc6e49c9464c90836e214791b8e8","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":"Sensors, Vol 22, Iss 1, p 245 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/1/245/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22010245","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":"Sensors; Volume 22; Issue 1; Pages: 245","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8749636","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8749636","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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22010245","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22010245","pdf_url":"https://www.mdpi.com/1424-8220/22/1/245/pdf?version=1640852018","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4206740751.pdf","grobid_xml":"https://content.openalex.org/works/W4206740751.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W27607400","https://openalex.org/W1536729381","https://openalex.org/W1901129140","https://openalex.org/W1991129239","https://openalex.org/W1996961169","https://openalex.org/W2014496468","https://openalex.org/W2033772255","https://openalex.org/W2037042896","https://openalex.org/W2112502335","https://openalex.org/W2116258037","https://openalex.org/W2120688438","https://openalex.org/W2194775991","https://openalex.org/W2336157753","https://openalex.org/W2411287403","https://openalex.org/W2734349601","https://openalex.org/W2774320778","https://openalex.org/W2792252898","https://openalex.org/W2884436604","https://openalex.org/W2889646458","https://openalex.org/W2901279357","https://openalex.org/W2913559493","https://openalex.org/W2963446712","https://openalex.org/W2973153606","https://openalex.org/W3023640369","https://openalex.org/W3085806799","https://openalex.org/W3096947210","https://openalex.org/W3167635763","https://openalex.org/W3194599467","https://openalex.org/W6601083505","https://openalex.org/W6677037691"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W4375867731","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2912321008","https://openalex.org/W2498789492","https://openalex.org/W1998607122","https://openalex.org/W4307875532","https://openalex.org/W2157102420"],"abstract_inverted_index":{"The":[0,48,62],"automatic":[1,45],"segmentation":[2,34,178,202],"of":[3,15,115,153,169,179],"the":[4,12,40,54,79,83,87,98,102,112,116,119,123,136,144,150,154,167,174],"pancreatic":[5,16],"cyst":[6,17],"lesion":[7],"(PCL)":[8],"is":[9,173],"essential":[10],"for":[11,32,44,200],"automated":[13],"diagnosis":[14],"lesions":[18],"on":[19,35,82,97,181,203],"endoscopic":[20],"ultrasonography":[21],"(EUS)":[22],"images.":[23,37,205],"In":[24],"this":[25,172],"study,":[26,118,156],"we":[27],"proposed":[28],"a":[29,66,91,185,193],"deep-learning":[30,186,194],"approach":[31,195],"PCL":[33,46,180,201],"EUS":[36,182,204],"We":[38],"employed":[39],"Attention":[41,49,63,103,120,137,145],"U-Net":[42,50,64,89,121,138,141,146],"model":[43],"segmentation.":[47],"was":[51,106,131],"compared":[52],"with":[53],"Basic":[55,88],"U-Net,":[56,58,104],"Residual":[57,140],"and":[59,72,94,126,139,147],"U-Net++":[60],"models.":[61],"showed":[65,90,122,159],"better":[67],"dice":[68],"similarity":[69],"coefficient":[70],"(DSC)":[71],"intersection":[73],"over":[74],"union":[75],"(IoU)":[76],"scores":[77,96],"than":[78,101],"other":[80],"models":[81,158],"internal":[84,113],"test.":[85],"Although":[86],"higher":[92],"DSC":[93,125],"IoU":[95,127],"external":[99,151],"test":[100,114,152],"there":[105,130],"no":[107,132,160],"statistically":[108],"significant":[109,133,161],"difference.":[110],"On":[111,149],"cross-over":[117,155],"highest":[124],"scores.":[128],"However,":[129],"difference":[134,162],"between":[135,143],"or":[142],"U-Net++.":[148],"all":[157],"from":[163],"each":[164],"other.":[165],"To":[166],"best":[168],"our":[170],"knowledge,":[171],"first":[175],"study":[176],"implementing":[177],"images":[183],"using":[184],"approach.":[187],"Our":[188],"experimental":[189],"results":[190],"show":[191],"that":[192],"can":[196],"be":[197],"applied":[198],"successfully":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}