{"id":"https://openalex.org/W3044140825","doi":"https://doi.org/10.1109/iwssip48289.2020.9145401","title":"Transfer Learning Method Evaluation for Automatic Pediatric Chest X-Ray Image Segmentation","display_name":"Transfer Learning Method Evaluation for Automatic Pediatric Chest X-Ray Image Segmentation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3044140825","doi":"https://doi.org/10.1109/iwssip48289.2020.9145401","mag":"3044140825"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip48289.2020.9145401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5049015882","display_name":"Gabriel Bras","orcid":null},"institutions":[{"id":"https://openalex.org/I47327664","display_name":"Universidade Federal do Maranh\u00e3o","ror":"https://ror.org/043fhe951","country_code":"BR","type":"education","lineage":["https://openalex.org/I47327664"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Gabriel Bras","raw_affiliation_strings":["Federal University of Maranh\u00e3o - UFMA, Applied Computing Group - NCA, S\u00e3o Lu\u00eds, MA, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Maranh\u00e3o - UFMA, Applied Computing Group - NCA, S\u00e3o Lu\u00eds, MA, Brazil","institution_ids":["https://openalex.org/I47327664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038674698","display_name":"Vandecia Fernandes","orcid":null},"institutions":[{"id":"https://openalex.org/I47327664","display_name":"Universidade Federal do Maranh\u00e3o","ror":"https://ror.org/043fhe951","country_code":"BR","type":"education","lineage":["https://openalex.org/I47327664"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vandecia Fernandes","raw_affiliation_strings":["Federal University of Maranh\u00e3o - UFMA, Applied Computing Group - NCA, S\u00e3o Lu\u00eds, MA, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Maranh\u00e3o - UFMA, Applied Computing Group - NCA, S\u00e3o Lu\u00eds, MA, Brazil","institution_ids":["https://openalex.org/I47327664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014448875","display_name":"Anselmo Cardoso de Paiva","orcid":"https://orcid.org/0000-0003-4921-0626"},"institutions":[{"id":"https://openalex.org/I47327664","display_name":"Universidade Federal do Maranh\u00e3o","ror":"https://ror.org/043fhe951","country_code":"BR","type":"education","lineage":["https://openalex.org/I47327664"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Anselmo Cardoso de Paiva","raw_affiliation_strings":["Federal University of Maranh\u00e3o - UFMA, Applied Computing Group - NCA, S\u00e3o Lu\u00eds, MA, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Maranh\u00e3o - UFMA, Applied Computing Group - NCA, S\u00e3o Lu\u00eds, MA, Brazil","institution_ids":["https://openalex.org/I47327664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006289694","display_name":"Geraldo Br\u00e1z","orcid":"https://orcid.org/0000-0003-3731-6431"},"institutions":[{"id":"https://openalex.org/I47327664","display_name":"Universidade Federal do Maranh\u00e3o","ror":"https://ror.org/043fhe951","country_code":"BR","type":"education","lineage":["https://openalex.org/I47327664"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Geraldo Braz Junior","raw_affiliation_strings":["Federal University of Maranh\u00e3o - UFMA, Applied Computing Group - NCA, S\u00e3o Lu\u00eds, MA, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Maranh\u00e3o - UFMA, Applied Computing Group - NCA, S\u00e3o Lu\u00eds, MA, Brazil","institution_ids":["https://openalex.org/I47327664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062581981","display_name":"Lu\u00eds Rivero","orcid":"https://orcid.org/0000-0001-6008-6537"},"institutions":[{"id":"https://openalex.org/I47327664","display_name":"Universidade Federal do Maranh\u00e3o","ror":"https://ror.org/043fhe951","country_code":"BR","type":"education","lineage":["https://openalex.org/I47327664"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luis Rivero","raw_affiliation_strings":["Federal University of Maranh\u00e3o - UFMA, Applied Computing Group - NCA, S\u00e3o Lu\u00eds, MA, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Maranh\u00e3o - UFMA, Applied Computing Group - NCA, S\u00e3o Lu\u00eds, MA, Brazil","institution_ids":["https://openalex.org/I47327664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049015882"],"corresponding_institution_ids":["https://openalex.org/I47327664"],"apc_list":null,"apc_paid":null,"fwci":0.4453,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67114634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"128","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9965999722480774,"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/T10862","display_name":"AI in cancer detection","score":0.9836999773979187,"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":0.7353670597076416},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6844465732574463},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6399378180503845},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.6113194227218628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5667038559913635},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5010373592376709},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.43824535608291626},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.42130163311958313},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3577309846878052},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33089423179626465},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2721036970615387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353670597076416},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6844465732574463},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6399378180503845},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.6113194227218628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5667038559913635},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5010373592376709},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.43824535608291626},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.42130163311958313},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3577309846878052},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33089423179626465},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2721036970615387},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":1,"locations":[{"id":"doi:10.1109/iwssip48289.2020.9145401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W14244905","https://openalex.org/W1538131130","https://openalex.org/W1884191083","https://openalex.org/W1901129140","https://openalex.org/W1904878066","https://openalex.org/W1993909515","https://openalex.org/W1994062553","https://openalex.org/W2024798729","https://openalex.org/W2097117768","https://openalex.org/W2104775919","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2581082771","https://openalex.org/W2735039185","https://openalex.org/W2786379495","https://openalex.org/W2788633781","https://openalex.org/W2891756914","https://openalex.org/W2905810301","https://openalex.org/W2913081511","https://openalex.org/W2928243178","https://openalex.org/W2937845726","https://openalex.org/W2955425717","https://openalex.org/W2956123709","https://openalex.org/W2963446712","https://openalex.org/W2964725151","https://openalex.org/W2973744658","https://openalex.org/W3105636206","https://openalex.org/W6639824700","https://openalex.org/W6639867372","https://openalex.org/W6765185728"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W2586273397","https://openalex.org/W2390936256","https://openalex.org/W2483429559","https://openalex.org/W2016385589","https://openalex.org/W2009559548","https://openalex.org/W4366341510","https://openalex.org/W2906397153","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Pneumonia":[0],"is":[1,7,22,29,42],"highly":[2],"dangerous":[3],"for":[4,13,33],"children":[5],"and":[6,35,87],"the":[8],"disease":[9],"that":[10],"most":[11],"kill":[12],"those":[14],"under":[15],"5":[16],"years.":[17],"For":[18],"rapid":[19],"diagnosis,":[20],"it":[21],"common":[23],"to":[24,44,48,64],"require":[25],"chest":[26,73,99],"x-ray,":[27],"which":[28],"a":[30,71,98],"difficult":[31],"image":[32,75],"reading":[34],"interpret,":[36],"requiring":[37],"an":[38,59],"expert":[39],"physician.":[40],"It":[41],"important":[43,54],"provide":[45],"computational":[46],"methods":[47],"help":[49],"exam":[50],"interpretation":[51],"or":[52],"enhance":[53],"information.":[55],"This":[56],"paper":[57],"proposes":[58],"approach":[60],"of":[61,68,90],"transfer":[62],"learning":[63],"automatic":[65],"semantic":[66],"segmentation":[67],"lungs":[69],"in":[70,80,97],"pediatric":[72],"x-ray":[74,100],"based":[76],"on":[77],"knowledge":[78],"acquire":[79],"other":[81],"datasets.":[82],"The":[83],"results":[84],"are":[85],"promising":[86],"reaches":[88],"0.917":[89],"Dice":[91],"using":[92],"U-Net":[93],"combined":[94],"with":[95],"InceptionV3":[96],"dataset":[101],"without":[102],"lung":[103],"annotation.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}