{"id":"https://openalex.org/W4402187068","doi":"https://doi.org/10.1109/access.2024.3454188","title":"Automatic Lung Segmentation in Chest X-Ray Images Using SAM With Prompts From YOLO","display_name":"Automatic Lung Segmentation in Chest X-Ray Images Using SAM With Prompts From YOLO","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402187068","doi":"https://doi.org/10.1109/access.2024.3454188"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3454188","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3454188","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3454188","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003415195","display_name":"Ebrahim Khalili","orcid":"https://orcid.org/0009-0000-9848-1495"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ebrahim Khalili","raw_affiliation_strings":["Department of Engineering on Automation, Electronics and Computer Architecture and Networks, University of Cádiz, Puerto Real, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering on Automation, Electronics and Computer Architecture and Networks, University of Cádiz, Puerto Real, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053663641","display_name":"Blanca Priego","orcid":"https://orcid.org/0000-0003-1609-0429"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Blanca Priego-Torres","raw_affiliation_strings":["Department of Engineering on Automation, Electronics and Computer Architecture and Networks, University of Cádiz, Puerto Real, Spain"],"raw_orcid":"https://orcid.org/0000-0003-1609-0429","affiliations":[{"raw_affiliation_string":"Department of Engineering on Automation, Electronics and Computer Architecture and Networks, University of Cádiz, Puerto Real, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079788399","display_name":"Antonio Le\u00f3n\u2010Jim\u00e9nez","orcid":"https://orcid.org/0000-0002-0238-9588"},"institutions":[{"id":"https://openalex.org/I4210123493","display_name":"Biomedical Research and Innovation Institute of Cadiz","ror":"https://ror.org/02s5m5d51","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210123493"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Le\u00f3n-Jim\u00e9nez","raw_affiliation_strings":["Biomedical Research and Innovation Institute of Cadiz (INiBICA), Cádiz, Spain"],"raw_orcid":"https://orcid.org/0000-0002-0238-9588","affiliations":[{"raw_affiliation_string":"Biomedical Research and Innovation Institute of Cadiz (INiBICA), Cádiz, Spain","institution_ids":["https://openalex.org/I4210123493"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072880316","display_name":"Daniel Morillo","orcid":"https://orcid.org/0000-0001-5603-0936"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Sanchez-Morillo","raw_affiliation_strings":["Department of Engineering on Automation, Electronics and Computer Architecture and Networks, University of Cádiz, Puerto Real, Spain"],"raw_orcid":"https://orcid.org/0000-0001-5603-0936","affiliations":[{"raw_affiliation_string":"Department of Engineering on Automation, Electronics and Computer Architecture and Networks, University of Cádiz, Puerto Real, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":3.8689,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9434199,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"122805","last_page":"122819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9997000098228455,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9997000098228455,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9988999962806702,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6989633440971375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6517025828361511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6146149635314941},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5905209183692932},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5550320148468018},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.37303614616394043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6989633440971375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6517025828361511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6146149635314941},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5905209183692932},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5550320148468018},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37303614616394043}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2024.3454188","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3454188","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:rodin.uca.es:10498/33435","is_oa":true,"landing_page_url":"http://hdl.handle.net/10498/33435","pdf_url":"https://rodin.uca.es/bitstream/10498/33435/1/Automatic_Lung_Segmentation_in_Chest_X-Ray_Images_Using_SAM_With_Prompts_From_YOLO.pdf","source":{"id":"https://openalex.org/S4306400506","display_name":"RODIN (Universidad de C\u00e1diz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39147953","host_organization_name":"Universidad de C\u00e1diz","host_organization_lineage":["https://openalex.org/I39147953"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access - 2024, Vol. 12 pp. 122805-122819","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:9d1eaa9bc9f042e79543c89a7021fe0c","is_oa":true,"landing_page_url":"https://doaj.org/article/9d1eaa9bc9f042e79543c89a7021fe0c","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":"IEEE Access, Vol 12, Pp 122805-122819 (2024)","raw_type":"article"},{"id":"pmh:oai:zenodo.org:13846972","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/10663549","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"IEEE Access, 12, 122805 - 122819, (2024-09-03)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3454188","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3454188","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326754","display_name":"Junta de Andaluc\u00eda","ror":"https://ror.org/01jem9c82"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W14244905","https://openalex.org/W1812394418","https://openalex.org/W1904878066","https://openalex.org/W1995567168","https://openalex.org/W2065429801","https://openalex.org/W2080628940","https://openalex.org/W2142514727","https://openalex.org/W2510119848","https://openalex.org/W2570343428","https://openalex.org/W2803760365","https://openalex.org/W2884561390","https://openalex.org/W2885112059","https://openalex.org/W2889246432","https://openalex.org/W2947263797","https://openalex.org/W2952855260","https://openalex.org/W2962767316","https://openalex.org/W2964098128","https://openalex.org/W3003026830","https://openalex.org/W3006326483","https://openalex.org/W3007943565","https://openalex.org/W3030790048","https://openalex.org/W3054666633","https://openalex.org/W3074741277","https://openalex.org/W3103199493","https://openalex.org/W3112044175","https://openalex.org/W3134475970","https://openalex.org/W3135057764","https://openalex.org/W3151449316","https://openalex.org/W3156643720","https://openalex.org/W3190076928","https://openalex.org/W3194730353","https://openalex.org/W3195577433","https://openalex.org/W4220763423","https://openalex.org/W4223430324","https://openalex.org/W4224266319","https://openalex.org/W4303649515","https://openalex.org/W4308531306","https://openalex.org/W4310259937","https://openalex.org/W4312300665","https://openalex.org/W4312466326","https://openalex.org/W4319940243","https://openalex.org/W4327909703","https://openalex.org/W4365816982","https://openalex.org/W4377983639","https://openalex.org/W4383904219","https://openalex.org/W4386835335","https://openalex.org/W4390874575","https://openalex.org/W4399953622","https://openalex.org/W6800751262","https://openalex.org/W6851875619"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Despite":[0],"the":[1,10,16,34,56,59,68,116,144],"impressive":[2],"performance":[3,35],"of":[4,12,36,58],"current":[5],"deep":[6],"learning":[7],"models":[8],"in":[9,20,45,55,118,137],"field":[11,43],"medical":[13],"imaging,":[14],"transferring":[15],"lung":[17,42],"segmentation":[18,44,104],"task":[19],"X-ray":[21,47],"images":[22,48],"to":[23,75,100,146],"clinical":[24],"practice":[25],"is":[26,53],"still":[27],"a":[28,37,92],"pending":[29],"task.":[30],"In":[31],"this":[32],"study,":[33],"fully":[38],"automatic":[39],"framework":[40,52,130],"for":[41],"chest":[46],"was":[49,131],"evaluated.":[50],"The":[51,106,128],"rooted":[54],"combination":[57],"Segment":[60],"Anything":[61],"Model":[62],"(SAM)":[63],"with":[64],"prompt":[65],"capabilities,":[66],"and":[67,83,112,125,142,152],"You":[69],"Only":[70],"Look":[71],"Once":[72],"(YOLO)":[73],"model":[74],"provide":[76],"effective":[77],"prompts.":[78],"Transfer":[79],"learning,":[80],"loss":[81],"functions,":[82],"several":[84],"validation":[85],"strategies":[86],"were":[87],"thoroughly":[88],"assessed.":[89],"This":[90],"provided":[91],"complete":[93],"benchmark":[94],"that":[95],"enabled":[96],"future":[97],"research":[98],"studies":[99],"fairly":[101],"compare":[102],"new":[103],"strategies.":[105],"results":[107],"achieved":[108],"demonstrated":[109],"significant":[110],"robustness":[111],"generalization":[113],"capability":[114],"against":[115],"variability":[117],"sensors,":[119],"populations,":[120],"disease":[121],"manifestations,":[122],"device":[123],"processing,":[124],"imaging":[126],"conditions.":[127],"proposed":[129],"computationally":[132],"efficient,":[133],"could":[134],"address":[135],"bias":[136],"training":[138],"over":[139],"multiple":[140],"datasets,":[141],"had":[143],"potential":[145],"be":[147],"applied":[148],"across":[149],"other":[150],"domains":[151],"modalities.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}