{"id":"https://openalex.org/W2991099779","doi":"https://doi.org/10.1109/iscit.2019.8905166","title":"An Evaluation of CNN-based Liver Segmentation Methods using Multi-types of CT Abdominal Images from Multiple Medical Centers","display_name":"An Evaluation of CNN-based Liver Segmentation Methods using Multi-types of CT Abdominal Images from Multiple Medical Centers","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2991099779","doi":"https://doi.org/10.1109/iscit.2019.8905166","mag":"2991099779"},"language":"en","primary_location":{"id":"doi:10.1109/iscit.2019.8905166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2019.8905166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 19th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/139419/1/An%20Evaluation%20of%20CNN-based%20Liver%20Segmentation%20Methods.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044461368","display_name":"Hong Son Hoang","orcid":null},"institutions":[{"id":"https://openalex.org/I177233841","display_name":"Vietnam National University, Hanoi","ror":"https://ror.org/02jmfj006","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Hong Son Hoang","raw_affiliation_strings":["VNU University of Engineering and Technology,AVITECH & FET,Hanoi,Vietnam","AVITECH & FET, VNU University of Engineering and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VNU University of Engineering and Technology,AVITECH & FET,Hanoi,Vietnam","institution_ids":["https://openalex.org/I177233841"]},{"raw_affiliation_string":"AVITECH & FET, VNU University of Engineering and Technology, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103850941","display_name":"C\u1ea9m Ph\u01b0\u01a1ng Ph\u1ea1m","orcid":"https://orcid.org/0000-0002-4342-0959"},"institutions":[{"id":"https://openalex.org/I4210152634","display_name":"B\u1ea1ch Mai Hospital","ror":"https://ror.org/05ecec111","country_code":"VN","type":"healthcare","lineage":["https://openalex.org/I4210152634"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Cam Phuong Pham","raw_affiliation_strings":["Bach Mai hospital,Nuclear Medicine and Oncology center,Hanoi,Vietnam","Nuclear Medicine and Oncology center, Bach Mai hospital, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bach Mai hospital,Nuclear Medicine and Oncology center,Hanoi,Vietnam","institution_ids":["https://openalex.org/I4210152634"]},{"raw_affiliation_string":"Nuclear Medicine and Oncology center, Bach Mai hospital, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210152634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023854852","display_name":"Daniel Franklin","orcid":"https://orcid.org/0000-0002-9563-5943"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daniel Franklin","raw_affiliation_strings":["University of Technology,SEDE/FEIT,Sydney,Australia","SEDE/FEIT, University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,SEDE/FEIT,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"SEDE/FEIT, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012856150","display_name":"Theo van Walsum","orcid":"https://orcid.org/0000-0001-8257-7759"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2801952686"]},{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Theo van Walsum","raw_affiliation_strings":["Erasmus MC,BIGR, Department of Radiology and Nuclear Medicine,Rotterdam,the Netherlands","BIGR, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Erasmus MC,BIGR, Department of Radiology and Nuclear Medicine,Rotterdam,the Netherlands","institution_ids":["https://openalex.org/I913958620"]},{"raw_affiliation_string":"BIGR, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands","institution_ids":["https://openalex.org/I913958620","https://openalex.org/I2801952686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090496298","display_name":"Ha Manh Luu","orcid":"https://orcid.org/0000-0002-5678-6212"},"institutions":[{"id":"https://openalex.org/I177233841","display_name":"Vietnam National University, Hanoi","ror":"https://ror.org/02jmfj006","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Manh Ha Luu","raw_affiliation_strings":["VNU University of Engineering and Technology,AVITECH & FET,Hanoi,Vietnam","AVITECH & FET, VNU University of Engineering and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VNU University of Engineering and Technology,AVITECH & FET,Hanoi,Vietnam","institution_ids":["https://openalex.org/I177233841"]},{"raw_affiliation_string":"AVITECH & FET, VNU University of Engineering and Technology, Hanoi, Vietnam","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0863,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78590324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"20","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9634000062942505,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9581000208854675,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043493986129761},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6257807612419128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6176283955574036},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5454379916191101},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4885614812374115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4794696569442749},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4471566379070282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42539355158805847},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.29199737310409546},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2130998969078064}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043493986129761},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6257807612419128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6176283955574036},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5454379916191101},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4885614812374115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4794696569442749},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4471566379070282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42539355158805847},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.29199737310409546},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2130998969078064}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iscit.2019.8905166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2019.8905166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 19th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/139419","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/139419","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/139419/1/An%20Evaluation%20of%20CNN-based%20Liver%20Segmentation%20Methods.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},{"id":"pmh:eur:oai:pure.eur.nl:publications/1aaee2eb-3aa5-4935-ac4b-b3498db1e6c7","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/1aaee2eb-3aa5-4935-ac4b-b3498db1e6c7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"19th International Symposium on Communications and Information Technologies (ISCIT), 20 - 25","raw_type":"info:eu-repo/semantics/bookpart"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/139419","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/139419","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/139419/1/An%20Evaluation%20of%20CNN-based%20Liver%20Segmentation%20Methods.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2991099779.pdf","grobid_xml":"https://content.openalex.org/works/W2991099779.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1883333379","https://openalex.org/W1901129140","https://openalex.org/W2007266343","https://openalex.org/W2153431772","https://openalex.org/W2346062110","https://openalex.org/W2510236266","https://openalex.org/W2526009326","https://openalex.org/W2592329056","https://openalex.org/W2627007876","https://openalex.org/W2766989837","https://openalex.org/W2767236661","https://openalex.org/W2771088639","https://openalex.org/W2785482592","https://openalex.org/W2897757577","https://openalex.org/W2915094477","https://openalex.org/W2962914239","https://openalex.org/W2964227007","https://openalex.org/W3101756320","https://openalex.org/W4297748429","https://openalex.org/W4297825654","https://openalex.org/W4301597955","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6733997475","https://openalex.org/W6746189028","https://openalex.org/W6755397218","https://openalex.org/W6759306088","https://openalex.org/W6785062817"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W4395685956","https://openalex.org/W1522196789","https://openalex.org/W4379141755","https://openalex.org/W4367060753"],"abstract_inverted_index":{"Automatic":[0],"segmentation":[1,25,72,116,174,201],"of":[2,48,83,111,123,133,159,178,193],"CT":[3,49,121,183,203],"images":[4,122],"has":[5],"recently":[6],"been":[7],"applied":[8],"in":[9,22,26,30,45,114,150,157,172,175],"several":[10,76],"clinical":[11],"liver":[12,31,34,71,115,173,200],"applications.":[13],"Convolutional":[14],"Neural":[15],"Networks":[16],"(CNNs)":[17],"have":[18,169],"shown":[19],"their":[20,151],"effectiveness":[21],"medical":[23,40,77],"image":[24,35],"general":[27],"and":[28,54,68,95,180],"also":[29,164],"segmentation.":[32],"However,":[33],"quality":[36],"may":[37],"vary":[38],"between":[39],"centers":[41],"due":[42],"to":[43,199],"differences":[44],"the":[46,84,124,134,155,176],"use":[47],"scanners,":[50],"protocols,":[51],"radiation":[52],"dose,":[53],"contrast":[55,119],"enhancement.":[56],"In":[57,185],"this":[58],"paper,":[59],"we":[60],"investigate":[61],"three":[62,104,135],"wells":[63],"known":[64],"CNNs,":[65],"FCN-CRF,":[66],"DRIU,":[67],"V-net,":[69],"for":[70],"using":[73,137,202],"data":[74],"from":[75,127],"centers.":[78],"We":[79],"perform":[80],"qualitative":[81],"evaluation":[82],"CNNs":[85,105,168],"based":[86,197],"on":[87,130],"Dice":[88,109,131],"score,":[89],"Hausdorff":[90],"distance,":[91],"mean":[92,108],"surface":[93],"distance":[94],"false":[96],"positive":[97],"rate.":[98],"The":[99,162],"results":[100,163,189],"show":[101],"that":[102,145,166],"all":[103],"achieved":[106],"a":[107],"score":[110,132],"over":[112],"90%":[113],"with":[117],"typical":[118],"enhanced":[120,182],"liver.":[125],"p-values":[126],"paired":[128],"T-test":[129],"networks":[136],"Mayo":[138],"dataset":[139],"are":[140],"larger":[141],"than":[142],"0.05":[143],"suggesting":[144],"no":[146],"statistical":[147],"significant":[148],"difference":[149],"performance.":[152],"DRIU":[153],"performs":[154],"best":[156],"term":[158],"processing":[160],"time.":[161],"demonstrate":[165],"those":[167],"reduced":[170],"performance":[171],"case":[177],"low-dose":[179],"non-contrast":[181],"images.":[184,204],"conclusion,":[186],"these":[187],"promising":[188],"enable":[190],"further":[191],"investigation":[192],"alternative":[194],"deep":[195],"learning":[196],"approaches":[198]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}