{"id":"https://openalex.org/W3024853792","doi":"https://doi.org/10.1109/iciot48696.2020.9089512","title":"A Surgical-Oriented Liver Segmentation Approach Using Deep Learning","display_name":"A Surgical-Oriented Liver Segmentation Approach Using Deep Learning","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3024853792","doi":"https://doi.org/10.1109/iciot48696.2020.9089512","mag":"3024853792"},"language":"en","primary_location":{"id":"doi:10.1109/iciot48696.2020.9089512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciot48696.2020.9089512","pdf_url":null,"source":{"id":"https://openalex.org/S4306498678","display_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","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/A5003335959","display_name":"Alhusain Abdalla","orcid":"https://orcid.org/0000-0002-2915-9256"},"institutions":[{"id":"https://openalex.org/I49828101","display_name":"Hamad Medical Corporation","ror":"https://ror.org/02zwb6n98","country_code":"QA","type":"nonprofit","lineage":["https://openalex.org/I49828101"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Alhusain Abdalla","raw_affiliation_strings":["Department of Surgery, Hamad Medical Corporation, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Department of Surgery, Hamad Medical Corporation, Doha, Qatar","institution_ids":["https://openalex.org/I49828101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052060320","display_name":"Nouraldeen Ahmed","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nouraldeen Ahmed","raw_affiliation_strings":["Department of Biomedical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018877986","display_name":"Sarada Prasad Dakua","orcid":"https://orcid.org/0000-0003-2979-0272"},"institutions":[{"id":"https://openalex.org/I49828101","display_name":"Hamad Medical Corporation","ror":"https://ror.org/02zwb6n98","country_code":"QA","type":"nonprofit","lineage":["https://openalex.org/I49828101"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Sarada Dakua","raw_affiliation_strings":["Department of Surgery, Hamad Medical Corporation, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Department of Surgery, Hamad Medical Corporation, Doha, Qatar","institution_ids":["https://openalex.org/I49828101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108061243","display_name":"Shidin Balakrishnan","orcid":"https://orcid.org/0000-0001-6361-4980"},"institutions":[{"id":"https://openalex.org/I49828101","display_name":"Hamad Medical Corporation","ror":"https://ror.org/02zwb6n98","country_code":"QA","type":"nonprofit","lineage":["https://openalex.org/I49828101"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Shidin Balakrishnan","raw_affiliation_strings":["Department of Surgery, Hamad Medical Corporation, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Department of Surgery, Hamad Medical Corporation, Doha, Qatar","institution_ids":["https://openalex.org/I49828101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055363476","display_name":"Julien Abinahed","orcid":null},"institutions":[{"id":"https://openalex.org/I49828101","display_name":"Hamad Medical Corporation","ror":"https://ror.org/02zwb6n98","country_code":"QA","type":"nonprofit","lineage":["https://openalex.org/I49828101"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Julien Abinahed","raw_affiliation_strings":["Department of Surgery, Hamad Medical Corporation, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Department of Surgery, Hamad Medical Corporation, Doha, Qatar","institution_ids":["https://openalex.org/I49828101"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003335959"],"corresponding_institution_ids":["https://openalex.org/I49828101"],"apc_list":null,"apc_paid":null,"fwci":0.4192,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65900383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"318","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9987999796867371,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9987999796867371,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9973000288009644,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9969000220298767,"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/segmentation","display_name":"Segmentation","score":0.8264312744140625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7959172129631042},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.6274722814559937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6262768507003784},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.577393651008606},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5681951642036438},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5626463890075684},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5012977123260498},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4429877996444702},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39141640067100525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3221587538719177},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.10105937719345093}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8264312744140625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7959172129631042},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.6274722814559937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6262768507003784},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.577393651008606},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5681951642036438},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5626463890075684},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5012977123260498},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4429877996444702},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39141640067100525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3221587538719177},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.10105937719345093},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciot48696.2020.9089512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciot48696.2020.9089512","pdf_url":null,"source":{"id":"https://openalex.org/S4306498678","display_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17"},{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1503635121","https://openalex.org/W1901129140","https://openalex.org/W1962314142","https://openalex.org/W1966707541","https://openalex.org/W1974954013","https://openalex.org/W1990404563","https://openalex.org/W2003258143","https://openalex.org/W2013488403","https://openalex.org/W2036368826","https://openalex.org/W2037872122","https://openalex.org/W2044312370","https://openalex.org/W2064677933","https://openalex.org/W2082290429","https://openalex.org/W2094944418","https://openalex.org/W2098526931","https://openalex.org/W2108817119","https://openalex.org/W2110996227","https://openalex.org/W2123969709","https://openalex.org/W2125637308","https://openalex.org/W2126801588","https://openalex.org/W2129663601","https://openalex.org/W2138047924","https://openalex.org/W2148671379","https://openalex.org/W2156677306","https://openalex.org/W2160077402","https://openalex.org/W2161920425","https://openalex.org/W2169314614","https://openalex.org/W2171479939","https://openalex.org/W2222766037","https://openalex.org/W2330062677","https://openalex.org/W2511730936","https://openalex.org/W2554204699","https://openalex.org/W2571334519","https://openalex.org/W2598166618","https://openalex.org/W2607711656","https://openalex.org/W2759354940","https://openalex.org/W2759532730","https://openalex.org/W2762067889","https://openalex.org/W2803760365","https://openalex.org/W2910094941","https://openalex.org/W2911738188","https://openalex.org/W2949111613","https://openalex.org/W2951064851","https://openalex.org/W2963446712","https://openalex.org/W2964227007","https://openalex.org/W3101123465","https://openalex.org/W3101756320","https://openalex.org/W4309233581","https://openalex.org/W6644006776","https://openalex.org/W6685184566","https://openalex.org/W6689004792"],"related_works":["https://openalex.org/W2120447654","https://openalex.org/W2977179488","https://openalex.org/W2144453115","https://openalex.org/W2128223750","https://openalex.org/W4238532390","https://openalex.org/W2188872161","https://openalex.org/W2961779879","https://openalex.org/W797688974","https://openalex.org/W2002978035","https://openalex.org/W2209382646"],"abstract_inverted_index":{"Accurate":[0],"organ":[1,41],"segmentation":[2,28,68,72],"is":[3,96],"nowadays":[4],"considered":[5],"indispensable":[6],"in":[7,59,140,167,179],"typical":[8,181],"surgical":[9,168,182],"pipelines.":[10],"Over":[11],"the":[12,25,79,89,91,106,134,138],"last":[13],"couple":[14],"of":[15,57,81,93,137],"decades,":[16],"researchers":[17],"and":[18,34,43,48,66,84,108,129,145,154,157],"clinicians":[19],"have":[20,37,50,74],"been":[21,51],"driven":[22],"to":[23,36,40,97,132,142],"achieve":[24],"most":[26],"efficient":[27],"technique":[29],"that":[30,122,162],"would":[31,163],"allow":[32],"radiologists":[33],"surgeons":[35],"easy":[38],"access":[39],"measurements":[42],"visualization.":[44],"Although":[45],"several":[46],"implementations":[47],"systems":[49],"implemented,":[52],"there":[53],"still":[54],"lies":[55],"plenty":[56],"space":[58],"creating":[60],"a":[61,99,117,180],"more":[62],"robust,":[63],"accurate,":[64],"reliable,":[65],"fast":[67],"algorithm.":[69],"Since":[70],"automated":[71,101],"algorithms":[73],"less":[75],"user":[76],"interaction":[77],"(minimizing":[78],"probability":[80],"performance":[82,136],"variation)":[83],"are":[85,177],"usually":[86],"preferred":[87],"by":[88],"clinicians,":[90],"aim":[92],"this":[94,149],"paper":[95],"provide":[98],"state-of-art":[100],"solution":[102],"for":[103],"accurately":[104],"segmenting":[105],"liver":[107,109],"tumor":[110],"from":[111,126],"CT":[112],"volumes.":[113],"The":[114],"implementation":[115],"utilizes":[116],"deep":[118],"learning":[119],"hybrid":[120],"network":[121,150],"blends":[123],"features":[124],"extracted":[125],"both":[127,152],"2D":[128],"3D":[130],"convolutions":[131],"enhance":[133],"overall":[135],"algorithm,":[139],"addition":[141],"some":[143],"pre-processing":[144],"postprocessing.":[146],"We":[147],"tested":[148],"on":[151],"public":[153],"private":[155],"data":[156],"it":[158],"showed":[159],"promising":[160],"results":[161,176],"be":[164],"highly":[165],"applicable":[166],"setups.":[169],"Finally,":[170],"we":[171],"briefly":[172],"discuss":[173],"how":[174],"these":[175],"relevant":[178],"application.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
