{"id":"https://openalex.org/W2996201606","doi":"https://doi.org/10.1145/3371425.3371451","title":"A modified scheme for liver tumor segmentation based on cascaded FCNs","display_name":"A modified scheme for liver tumor segmentation based on cascaded FCNs","publication_year":2019,"publication_date":"2019-12-10","ids":{"openalex":"https://openalex.org/W2996201606","doi":"https://doi.org/10.1145/3371425.3371451","mag":"2996201606"},"language":"en","primary_location":{"id":"doi:10.1145/3371425.3371451","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083688178","display_name":"Yuwei Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwei Pang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045612472","display_name":"Dong Hu","orcid":"https://orcid.org/0000-0003-2417-119X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Hu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102008600","display_name":"Min Sun","orcid":"https://orcid.org/0000-0001-9598-8178"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Sun","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.915,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83709932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9951000213623047,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7109527587890625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.687084436416626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6186501383781433},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.563423216342926},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5246601104736328},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5189701914787292},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4705793261528015},{"id":"https://openalex.org/keywords/liver-tumor","display_name":"Liver tumor","score":0.4644482433795929},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4366689622402191},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4208143651485443},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41361430287361145},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.411421000957489},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1732235848903656},{"id":"https://openalex.org/keywords/hepatocellular-carcinoma","display_name":"Hepatocellular carcinoma","score":0.13052237033843994},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10121458768844604}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7109527587890625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687084436416626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6186501383781433},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.563423216342926},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5246601104736328},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5189701914787292},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4705793261528015},{"id":"https://openalex.org/C2776964913","wikidata":"https://www.wikidata.org/wiki/Q1671502","display_name":"Liver tumor","level":3,"score":0.4644482433795929},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4366689622402191},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4208143651485443},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41361430287361145},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.411421000957489},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1732235848903656},{"id":"https://openalex.org/C2778019345","wikidata":"https://www.wikidata.org/wiki/Q1148337","display_name":"Hepatocellular carcinoma","level":2,"score":0.13052237033843994},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10121458768844604},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3371425.3371451","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1884191083","https://openalex.org/W1903029394","https://openalex.org/W2082526668","https://openalex.org/W2163605009","https://openalex.org/W2175951243","https://openalex.org/W2194775991","https://openalex.org/W2247287081","https://openalex.org/W2395611524","https://openalex.org/W2522861252","https://openalex.org/W2523005792","https://openalex.org/W2526009326","https://openalex.org/W2691747671","https://openalex.org/W2892070134","https://openalex.org/W2912500072","https://openalex.org/W2963446712","https://openalex.org/W2963840672","https://openalex.org/W2964227007","https://openalex.org/W2965431289","https://openalex.org/W2978661228","https://openalex.org/W3101123465"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4386858688","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4380302312","https://openalex.org/W4390971171","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"With":[0],"the":[1,49,58,61,65,68,73,79,88,94,99,104,131,146,154,160,200,219],"development":[2],"of":[3,60,67,85,96,101,149,159,171,188],"artificial":[4],"intelligence":[5],"technology,":[6],"more":[7,9],"and":[8,22,41,56,103,156,181,192,196,214],"researchers":[10,30],"use":[11,33],"deep":[12],"neural":[13],"network":[14],"to":[15,32,37,52,71,110,139,166],"solve":[16],"various":[17],"difficulties":[18],"in":[19,78,87],"segmenting":[20],"liver":[21,23,40,42,54,86,102,143,220],"tumors":[24,43,97,189],"from":[25],"abdominal":[26],"CT":[27],"images.":[28],"Recently,":[29],"propose":[31],"cascaded":[34,46,80,126,202],"FCNs":[35,47,81],"strategy":[36],"segment":[38,53,111],"both":[39],"automatically.":[44],"The":[45,185],"trains":[48],"first":[50,62,89,132],"FCN":[51,63,70,90,106,133,162],"region,":[55],"uses":[57],"output":[59],"as":[64],"input":[66],"second":[69,105,161],"train":[72],"tumor":[74,221],"segmentation":[75,84,95,148,222],"network.":[76],"However,":[77],"structure,":[82],"inaccurate":[83],"will":[91],"directly":[92],"affect":[93],"at":[98],"edge":[100],"is":[107],"not":[108],"conductive":[109],"small":[112,172],"tumors.":[113,150,173],"To":[114],"address":[115],"these":[116],"issues,":[117],"this":[118],"paper":[119],"proposed":[120],"a":[121,141],"modified":[122,130],"scheme":[123],"based":[124],"on":[125,179,218],"FCNs:":[127],"firstly,":[128],"we":[129,152],"by":[134],"adopting":[135],"variable":[136],"pooling":[137,155],"kernel":[138],"provide":[140],"better":[142],"region":[144],"for":[145],"later":[147],"Secondly,":[151],"replaced":[153],"convolution":[157,165],"layer":[158],"with":[163],"dilated":[164],"improve":[167],"global":[168],"feature":[169],"extraction":[170],"We":[174],"extensively":[175],"evaluated":[176],"our":[177,208],"method":[178,209],"3D-IRCADb-01":[180],"2017":[182],"LiTS":[183],"dataset.":[184],"DICE":[186],"coefficient":[187],"reached":[190],"85.71%":[191],"82.43%":[193],"respectively,":[194],"3.71%":[195],"3.61%":[197],"higher":[198],"than":[199],"original":[201],"FCNs.":[203],"Experimental":[204],"results":[205],"indicate":[206],"that":[207],"achieved":[210],"very":[211],"competitive":[212],"performance":[213],"outperformed":[215],"other":[216],"state-of-the-arts":[217],"accuracy.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
