{"id":"https://openalex.org/W2672904231","doi":"https://doi.org/10.1109/icassp.2017.7952325","title":"Atlas based 3D liver segmentation using adaptive thresholding and superpixel approaches","display_name":"Atlas based 3D liver segmentation using adaptive thresholding and superpixel approaches","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2672904231","doi":"https://doi.org/10.1109/icassp.2017.7952325","mag":"2672904231"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5064289969","display_name":"Negar Farzaneh","orcid":"https://orcid.org/0000-0003-1200-5274"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Negar Farzaneh","raw_affiliation_strings":["Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048160187","display_name":"Samuel Habbo-Gavin","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Habbo-Gavin","raw_affiliation_strings":["Department of Computer Science, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023608941","display_name":"S. M. Reza Soroushmehr","orcid":"https://orcid.org/0000-0001-8417-9260"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.M.Reza Soroushmehr","raw_affiliation_strings":["Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048899389","display_name":"Hirenkumar Patel","orcid":"https://orcid.org/0000-0001-9395-9840"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hirenkumar Patel","raw_affiliation_strings":["Department of Computer Science, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043257154","display_name":"David Fessell","orcid":"https://orcid.org/0000-0002-0179-0054"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David P. Fessell","raw_affiliation_strings":["Department of Radiology, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045618287","display_name":"Kevin R. Ward","orcid":"https://orcid.org/0000-0001-5939-409X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin R. Ward","raw_affiliation_strings":["Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067697464","display_name":"Kayvan Najarian","orcid":"https://orcid.org/0000-0003-4485-6612"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kayvan Najarian","raw_affiliation_strings":["Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4619,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.72568706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1093","last_page":"1097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9929999709129333,"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/jaccard-index","display_name":"Jaccard index","score":0.8752073049545288},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7587776184082031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107042074203491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7069473266601562},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6619503498077393},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.618770956993103},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.5737290382385254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.559865415096283},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5232450366020203},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4882180988788605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4560529887676239},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44167137145996094},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33556538820266724},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18138620257377625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10700321197509766},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10426333546638489},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.10420125722885132}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.8752073049545288},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7587776184082031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107042074203491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7069473266601562},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6619503498077393},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.618770956993103},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.5737290382385254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.559865415096283},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5232450366020203},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4882180988788605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4560529887676239},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44167137145996094},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33556538820266724},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18138620257377625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10700321197509766},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10426333546638489},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.10420125722885132}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W8258973","https://openalex.org/W53653168","https://openalex.org/W1973102085","https://openalex.org/W2039320484","https://openalex.org/W2070300108","https://openalex.org/W2071996924","https://openalex.org/W2111175478","https://openalex.org/W2118246710","https://openalex.org/W2123839774","https://openalex.org/W2129663601","https://openalex.org/W2143781397","https://openalex.org/W2294070027","https://openalex.org/W2479501882","https://openalex.org/W2533932519"],"related_works":["https://openalex.org/W3012828488","https://openalex.org/W2553941787","https://openalex.org/W2138983844","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2111883783","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2356903262"],"abstract_inverted_index":{"Traumas":[0],"and":[1,48,60,69,110,116],"illnesses":[2],"can":[3,104],"cause":[4],"injury":[5],"in":[6,38,51,57],"internal":[7],"organs.":[8],"The":[9],"liver,":[10],"being":[11],"the":[12,43,95,101],"largest":[13],"abdominal":[14],"organ,":[15],"is":[16,35],"most":[17],"likely":[18],"to":[19,31,42],"be":[20,66,78],"injured":[21],"by":[22,29],"trauma.":[23],"Currently":[24],"CT":[25],"scans":[26],"are":[27],"analyzed":[28],"radiologists":[30],"see":[32],"if":[33],"there":[34],"any":[36],"injuries":[37],"organs;":[39],"however,":[40],"due":[41],"large":[44],"amounts":[45],"of":[46,53,71,94,114],"data":[47],"its":[49],"complexity":[50],"terms":[52],"noise,":[54],"intensity":[55],"variations":[56],"different":[58],"images":[59],"so":[61],"on,":[62],"visual":[63],"inspection":[64],"would":[65,77],"time":[67],"consuming":[68],"prone":[70],"error.":[72],"Therefore,":[73],"an":[74],"automated":[75,87],"approach":[76],"beneficial.":[79],"In":[80],"this":[81],"paper":[82],"we":[83],"propose":[84],"a":[85],"fully":[86],"Bayesian":[88],"based":[89],"method":[90,103],"for":[91],"3D":[92],"segmentation":[93],"liver.":[96],"Experimental":[97],"results":[98],"show":[99],"that":[100],"proposed":[102],"achieve":[105],"high":[106],"performance":[107],"with":[108],"Dice":[109],"Jaccard":[111],"similarity":[112],"coefficients":[113],"93:5%":[115],"87:9%":[117],"respectively.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}