{"id":"https://openalex.org/W4323824350","doi":"https://doi.org/10.1109/iceic57457.2023.10049872","title":"Deep learning classification of focal liver lesions with contrast-enhanced ultrasound from arterial phase recordings","display_name":"Deep learning classification of focal liver lesions with contrast-enhanced ultrasound from arterial phase recordings","publication_year":2023,"publication_date":"2023-02-05","ids":{"openalex":"https://openalex.org/W4323824350","doi":"https://doi.org/10.1109/iceic57457.2023.10049872"},"language":"en","primary_location":{"id":"doi:10.1109/iceic57457.2023.10049872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic57457.2023.10049872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5028807388","display_name":"NamJoon Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I4210089054","display_name":"Seoul Semiconductor (South Korea)","ror":"https://ror.org/007vmjm88","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210089054"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"NamJoon Kim","raw_affiliation_strings":["Seoul National University,Next-Generation Semiconductor,Republic of Korea","Next-Generation Semiconductor, Seoul National University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University,Next-Generation Semiconductor,Republic of Korea","institution_ids":["https://openalex.org/I4210089054"]},{"raw_affiliation_string":"Next-Generation Semiconductor, Seoul National University, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106920665","display_name":"Won Jae Lee","orcid":"https://orcid.org/0000-0001-5833-989X"},"institutions":[{"id":"https://openalex.org/I2802194831","display_name":"Samsung Medical Center","ror":"https://ror.org/05a15z872","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2250650973","https://openalex.org/I2802194831"]},{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Won Jae Lee","raw_affiliation_strings":["Sungkyunkwan University School of Medicine,Samsung Medical Center,Department of Radiology,Republic of Korea","Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University School of Medicine,Samsung Medical Center,Department of Radiology,Republic of Korea","institution_ids":["https://openalex.org/I2802194831"]},{"raw_affiliation_string":"Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea","institution_ids":["https://openalex.org/I2802194831","https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102861073","display_name":"Hyuk-Jae Lee","orcid":"https://orcid.org/0000-0001-8895-9117"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuk-Jae Lee","raw_affiliation_strings":["Seoul National University,Electronical and Computer Engineering,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University,Electronical and Computer Engineering,Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028807388"],"corresponding_institution_ids":["https://openalex.org/I139264467","https://openalex.org/I4210089054"],"apc_list":null,"apc_paid":null,"fwci":2.1057,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87090138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10073","display_name":"Hepatocellular Carcinoma Treatment and Prognosis","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2721","display_name":"Hepatology"},"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/T10073","display_name":"Hepatocellular Carcinoma Treatment and Prognosis","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2721","display_name":"Hepatology"},"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/T10958","display_name":"Ultrasound and Hyperthermia Applications","score":0.9894000291824341,"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"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hepatocellular-carcinoma","display_name":"Hepatocellular carcinoma","score":0.734081506729126},{"id":"https://openalex.org/keywords/focal-nodular-hyperplasia","display_name":"Focal nodular hyperplasia","score":0.7045766115188599},{"id":"https://openalex.org/keywords/contrast-enhanced-ultrasound","display_name":"Contrast-enhanced ultrasound","score":0.7030029296875},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.6605483889579773},{"id":"https://openalex.org/keywords/vascularity","display_name":"Vascularity","score":0.6603217124938965},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.5799095034599304},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5690045952796936},{"id":"https://openalex.org/keywords/liver-tumor","display_name":"Liver tumor","score":0.41035979986190796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3962360918521881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3593066334724426},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.18575340509414673}],"concepts":[{"id":"https://openalex.org/C2778019345","wikidata":"https://www.wikidata.org/wiki/Q1148337","display_name":"Hepatocellular carcinoma","level":2,"score":0.734081506729126},{"id":"https://openalex.org/C2778721783","wikidata":"https://www.wikidata.org/wiki/Q1435219","display_name":"Focal nodular hyperplasia","level":3,"score":0.7045766115188599},{"id":"https://openalex.org/C2779585989","wikidata":"https://www.wikidata.org/wiki/Q500458","display_name":"Contrast-enhanced ultrasound","level":3,"score":0.7030029296875},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.6605483889579773},{"id":"https://openalex.org/C178596483","wikidata":"https://www.wikidata.org/wiki/Q7916472","display_name":"Vascularity","level":2,"score":0.6603217124938965},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.5799095034599304},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5690045952796936},{"id":"https://openalex.org/C2776964913","wikidata":"https://www.wikidata.org/wiki/Q1671502","display_name":"Liver tumor","level":3,"score":0.41035979986190796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3962360918521881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3593066334724426},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.18575340509414673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic57457.2023.10049872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic57457.2023.10049872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1967984828","https://openalex.org/W2084415465","https://openalex.org/W2582201496","https://openalex.org/W2756381840","https://openalex.org/W2913559493","https://openalex.org/W2972594929","https://openalex.org/W3143299112","https://openalex.org/W3172157563"],"related_works":["https://openalex.org/W2899417981","https://openalex.org/W3031265368","https://openalex.org/W2737557098","https://openalex.org/W1995821588","https://openalex.org/W2760660265","https://openalex.org/W2984959964","https://openalex.org/W4310331216","https://openalex.org/W4249769507","https://openalex.org/W1975108814","https://openalex.org/W2356903970"],"abstract_inverted_index":{"Contrast-enhanced":[0],"ultrasound":[1],"(CEUS)":[2],"has":[3],"been":[4],"known":[5],"as":[6],"a":[7],"safe,":[8],"robust,":[9],"and":[10,34,47,51,55,66,94,140,157,165,169,189],"cost-effective":[11],"image":[12],"modality":[13],"to":[14,88,108,180],"diagnose":[15],"an":[16],"early":[17],"sign":[18],"of":[19,30,49,73,112,119,163],"hepatocellular":[20,91],"carcinoma":[21,92],"(HCC).":[22],"The":[23,70],"enhancement":[24,71],"patterns":[25,72],"on":[26,44,61,75],"CEUS":[27,76,126],"are":[28,77,178],"composed":[29],"arterial,":[31],"portal":[32,53],"venous,":[33],"late":[35,56],"phases,":[36],"where":[37],"the":[38,45,52,62,80,100,110,117,129,153,173,175],"hepatic":[39,145],"arterial":[40,81,101,130],"phase":[41,131],"provides":[42],"information":[43,60],"degree":[46],"pattern":[48],"vascularity,":[50],"venous":[54],"phases":[57],"provide":[58],"important":[59],"differentiation":[63,118],"between":[64,90,187],"benign":[65],"malignant":[67],"liver":[68],"lesions.":[69],"HCC":[74,120,188],"hyper-enhanced":[78],"in":[79,135,191],"phase.":[82,102],"Therefore,":[83],"we":[84],"propose":[85],"learning-based":[86],"frameworks":[87],"differentiate":[89],"(HCC)":[93],"focal":[95],"nodular":[96],"hyperplasia":[97],"(FNH)":[98],"during":[99,128],"We":[103,123],"design":[104],"artificial":[105],"neural":[106],"networks":[107,159],"learn":[109],"change":[111],"characteristics":[113],"over":[114],"time":[115],"for":[116,132,167,183],"from":[121],"FNH.":[122],"had":[124],"gathered":[125],"videos":[127],"4":[133],"years":[134],"Samsung":[136],"Medical":[137],"Center":[138],"(SMC)":[139],"picked":[141],"out":[142],"only":[143],"small":[144],"lesions":[146],"under":[147],"3":[148],"centimeters.":[149],"From":[150],"these":[151],"datasets,":[152],"proposed":[154,176],"novel":[155],"3D-CNN":[156],"CNN-LSTM":[158],"show":[160],"accuracy":[161],"rates":[162],"100%":[164],"98%":[166],"10-fold":[168],"5-fold":[170],"cross-validations.":[171],"In":[172],"end,":[174],"models":[177],"proved":[179],"be":[181],"feasible":[182],"accurate":[184],"automatic":[185],"classification":[186],"FNH":[190],"livers.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}