乐胖代购免代理版

{"id":"https://openalex.org/W4220823011","doi":"https://doi.org/10.1145/3512388.3512413","title":"Anatomy-guided Multi-View Fusion Framework for Abdominal CT Multi-Organ Segmentation","display_name":"Anatomy-guided Multi-View Fusion Framework for Abdominal CT Multi-Organ Segmentation","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4220823011","doi":"https://doi.org/10.1145/3512388.3512413"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512388.3512413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5045603118","display_name":"Zhongwei Yang","orcid":"https://orcid.org/0000-0002-1458-2393"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Yang","raw_affiliation_strings":["Academy for Engineering & Technology, Fudan University, China"],"affiliations":[{"raw_affiliation_string":"Academy for Engineering & Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072909549","display_name":"Haopeng Kuang","orcid":"https://orcid.org/0000-0001-7951-2380"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haopeng Kuang","raw_affiliation_strings":["Academy for Engineering & Technology, Fudan University, China"],"affiliations":[{"raw_affiliation_string":"Academy for Engineering & Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764675","display_name":"Xukun Zhang","orcid":"https://orcid.org/0000-0003-2869-9434"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xukun Zhang","raw_affiliation_strings":["Academy for Engineering & Technology, Fudan University, China"],"affiliations":[{"raw_affiliation_string":"Academy for Engineering & Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Academy for Engineering & Technology, Fudan University, China"],"affiliations":[{"raw_affiliation_string":"Academy for Engineering & Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036810000","display_name":"Peng Zhai","orcid":"https://orcid.org/0000-0002-1374-7969"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhai","raw_affiliation_strings":["Academy for Engineering & Technology, Fudan University, China"],"affiliations":[{"raw_affiliation_string":"Academy for Engineering & Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062047598","display_name":"Lubin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lubin Chen","raw_affiliation_strings":["Academy for Engineering & Technology, Fudan University, China"],"affiliations":[{"raw_affiliation_string":"Academy for Engineering & Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414906","display_name":"Lihua Zhang","orcid":"https://orcid.org/0000-0003-0467-4347"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Zhang","raw_affiliation_strings":["Academy for Engineering & Technology, Fudan University, China"],"affiliations":[{"raw_affiliation_string":"Academy for Engineering & Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.354,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.345984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":80},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9995,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9995,"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":0.9978,"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":0.9968,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7656722},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7557173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.71591806},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6252526},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5983273},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4828037},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4302624},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.41023588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32958052},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512388.3512413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.82,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"82090052"}],"datasets":[],"versions":[],"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2000585255","https://openalex.org/W2109315631","https://openalex.org/W2167896953","https://openalex.org/W2535166298","https://openalex.org/W2618237340","https://openalex.org/W2791680898","https://openalex.org/W2799142782","https://openalex.org/W2953570019","https://openalex.org/W2964227007","https://openalex.org/W3035367255","https://openalex.org/W3127107873","https://openalex.org/W3181882949","https://openalex.org/W53653168"],"related_works":["https://openalex.org/W3021708704","https://openalex.org/W2358990940","https://openalex.org/W2349116365","https://openalex.org/W2329812990","https://openalex.org/W2093931120","https://openalex.org/W2075740387","https://openalex.org/W2069592018","https://openalex.org/W2060895226","https://openalex.org/W2004231473","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Multi-organ":[0],"segmentation":[1,126,152],"from":[2,101,117],"abdominal":[3,69],"CT":[4,23,70,135],"images":[5,24],"plays":[6],"a":[7,38,46,87,133],"vital":[8],"role":[9],"in":[10,22,29,66],"clinical":[11],"practice.":[12],"However,":[13],"due":[14],"to":[15,53,62,80,123,149],"the":[16,26,30,58,64,67,83,93,97,107,110,115,138],"low":[17],"contrast":[18],"of":[19,34,86,109],"soft":[20],"tissues":[21],"and":[25,32,114,137,147],"significant":[27],"differences":[28],"shape":[31],"appearance":[33],"organs,":[35],"this":[36,42,55,150],"is":[37,61,145],"challenging":[39,151],"task.":[40,153],"In":[41],"paper,":[43],"we":[44,76],"propose":[45],"two-stage":[47],"framework":[48],"based":[49],"on":[50,74,132],"multi-view":[51],"fusion":[52],"solve":[54],"challenge.":[56],"Specifically,":[57],"first":[59],"stage":[60,112],"segment":[63],"organs":[65],"original":[68],"image":[71,84,95,99],"quickly.":[72],"Based":[73],"this,":[75],"introduce":[77],"anatomical":[78],"knowledge":[79],"robustly":[81],"extract":[82],"region":[85],"single":[88],"organ.":[89],"Then,":[90],"inspired":[91],"by":[92],"clinician's":[94],"reading,":[96],"organ":[98],"blocks":[100],"three":[102],"views":[103,119],"are":[104,120],"used":[105],"as":[106],"input":[108],"second":[111],"network,":[113],"features":[116],"different":[118],"adaptively":[121],"fused":[122],"output":[124],"accurate":[125,146],"results.":[127],"We":[128],"conduct":[129],"extensive":[130],"experiments":[131],"public":[134],"dataset,":[136],"experimental":[139],"results":[140],"show":[141],"that":[142],"our":[143],"method":[144],"robust":[148]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4220823011","counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2025-01-04T15:57:42.090951","created_date":"2022-04-03"}