{"id":"https://openalex.org/W4408258675","doi":"https://doi.org/10.1109/tencon61640.2024.10903045","title":"Detection of Esophageal Wall via Deep Learning-Based Object Detection with Ultrasound System","display_name":"Detection of Esophageal Wall via Deep Learning-Based Object Detection with Ultrasound System","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4408258675","doi":"https://doi.org/10.1109/tencon61640.2024.10903045"},"language":"en","primary_location":{"id":"doi:10.1109/tencon61640.2024.10903045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon61640.2024.10903045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)","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/A5034266030","display_name":"Ryusei Matsuyama","orcid":"https://orcid.org/0000-0001-5131-0023"},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Rikuto Matsuyama","raw_affiliation_strings":["Toyo University,Faculty of Life Sciences,Asaka-city, Saitama,Japan"],"affiliations":[{"raw_affiliation_string":"Toyo University,Faculty of Life Sciences,Asaka-city, Saitama,Japan","institution_ids":["https://openalex.org/I158123994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103059520","display_name":"Yutaka Suzuki","orcid":"https://orcid.org/0000-0003-4611-1809"},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Suzuki","raw_affiliation_strings":["Toyo University,Faculty of Life Sciences,Asaka-city, Saitama,Japan"],"affiliations":[{"raw_affiliation_string":"Toyo University,Faculty of Life Sciences,Asaka-city, Saitama,Japan","institution_ids":["https://openalex.org/I158123994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029911797","display_name":"Shuya Shida","orcid":"https://orcid.org/0000-0002-6573-5935"},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuya Shida","raw_affiliation_strings":["Toyo University,Faculty of Life Sciences,Asaka-city, Saitama,Japan"],"affiliations":[{"raw_affiliation_string":"Toyo University,Faculty of Life Sciences,Asaka-city, Saitama,Japan","institution_ids":["https://openalex.org/I158123994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078420896","display_name":"Motoki Arakawa","orcid":"https://orcid.org/0000-0001-5590-5489"},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Motoki Arakawa","raw_affiliation_strings":["Toyo University,Faculty of Life Sciences,Asaka-city, Saitama,Japan"],"affiliations":[{"raw_affiliation_string":"Toyo University,Faculty of Life Sciences,Asaka-city, Saitama,Japan","institution_ids":["https://openalex.org/I158123994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034266030"],"corresponding_institution_ids":["https://openalex.org/I158123994"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42334218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"690","last_page":"693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11358","display_name":"Dysphagia Assessment and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11358","display_name":"Dysphagia Assessment and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11658","display_name":"Esophageal and GI Pathology","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11260","display_name":"Tracheal and airway disorders","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/computer-science","display_name":"Computer science","score":0.6685770750045776},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6658291220664978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6642440557479858},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6245534420013428},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5094903111457825},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.44171416759490967},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3101136386394501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30417168140411377},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16618496179580688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685770750045776},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6658291220664978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6642440557479858},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6245534420013428},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5094903111457825},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.44171416759490967},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3101136386394501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30417168140411377},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16618496179580688}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon61640.2024.10903045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon61640.2024.10903045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1731292866","https://openalex.org/W2056789425","https://openalex.org/W2058729905","https://openalex.org/W2065166017","https://openalex.org/W2119956708","https://openalex.org/W2314009069","https://openalex.org/W2937643036"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2351153092","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255"],"abstract_inverted_index":{"Conventional":[0],"methods":[1],"of":[2,32,106],"assessing":[3],"swallowing":[4,14],"function":[5,15],"are":[6],"invasive":[7],"and":[8,55,71],"burdensome":[9],"to":[10,45],"the":[11,30,33,47,65,84,92],"patient.":[12],"Although":[13,64],"assessment":[16],"can":[17,58,87],"be":[18,28,59,88],"performed":[19],"non-invasively":[20],"using":[21],"an":[22],"ultrasound":[23,96],"system,":[24],"one":[25],"issue":[26],"must":[27],"overcome:":[29],"position":[31],"probe":[34],"is":[35],"not":[36],"fixed.":[37],"Therefore,":[38],"deep":[39],"learning-based":[40],"object":[41],"detection":[42,66,85],"was":[43,68,75],"used":[44],"detect":[46],"esophageal":[48],"wall":[49],"so":[50],"that":[51,83],"a":[52,62,103],"more":[53],"stable":[54],"accurate":[56],"examination":[57],"performed.":[60],"As":[61],"result,.":[63],"rate":[67,74,86],"high":[69],"enough":[70,77],"false":[72],"positive":[73],"low":[76],"for":[78],"practical":[79],"use,":[80],"we":[81],"believe":[82],"further":[89],"increased":[90],"in":[91],"future":[93],"by":[94],"learning":[95],"images":[97],"taken":[98],"from":[99,102],"various":[100],"angles":[101],"larger":[104],"number":[105],"subjects.":[107]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
