{"id":"https://openalex.org/W2928251064","doi":"https://doi.org/10.1109/access.2019.2908386","title":"Nested Dilation Network (NDN) for Multi-Task Medical Image Segmentation","display_name":"Nested Dilation Network (NDN) for Multi-Task Medical Image Segmentation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2928251064","doi":"https://doi.org/10.1109/access.2019.2908386","mag":"2928251064"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2908386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908386","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678629.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678629.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100613491","display_name":"Liansheng Wang","orcid":"https://orcid.org/0000-0002-2096-454X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liansheng Wang","raw_affiliation_strings":["Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035363465","display_name":"Rongzhen Chen","orcid":"https://orcid.org/0000-0002-7297-7262"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongzhen Chen","raw_affiliation_strings":["Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644556","display_name":"Shuxin Wang","orcid":"https://orcid.org/0000-0003-1609-5326"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuxin Wang","raw_affiliation_strings":["Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025693167","display_name":"Nianyin Zeng","orcid":"https://orcid.org/0000-0002-6957-2942"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianyin Zeng","raw_affiliation_strings":["Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101435650","display_name":"Xiaoyang Huang","orcid":"https://orcid.org/0000-0002-7338-7387"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Huang","raw_affiliation_strings":["Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001349160","display_name":"Chang\u2010Hua Liu","orcid":"https://orcid.org/0000-0001-8042-9218"},"institutions":[{"id":"https://openalex.org/I4210124907","display_name":"Zhongshan Hospital of Xiamen University","ror":"https://ror.org/02z125451","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhua Liu","raw_affiliation_strings":["Department of Medical Imaging, Chenggong Hospital Affiliated to Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Chenggong Hospital Affiliated to Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I4210124907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100613491"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.839,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88538777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"44676","last_page":"44685"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9988999962806702,"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":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7810382843017578},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.6893188953399658},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5853805541992188},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5087576508522034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4964328408241272},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48181217908859253},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4628794193267822},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41509774327278137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11132997274398804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810382843017578},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.6893188953399658},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5853805541992188},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5087576508522034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4964328408241272},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48181217908859253},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4628794193267822},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41509774327278137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11132997274398804},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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":2,"locations":[{"id":"doi:10.1109/access.2019.2908386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908386","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678629.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ed74a84bb0404c4ead089b8307313c5b","is_oa":true,"landing_page_url":"https://doaj.org/article/ed74a84bb0404c4ead089b8307313c5b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 44676-44685 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2908386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908386","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678629.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2262916230","display_name":null,"funder_award_id":"61671399","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4872122564","display_name":null,"funder_award_id":"616713","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2928251064.pdf","grobid_xml":"https://content.openalex.org/works/W2928251064.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W8258973","https://openalex.org/W360623563","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1972004195","https://openalex.org/W1984020445","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2345010043","https://openalex.org/W2412782625","https://openalex.org/W2520016695","https://openalex.org/W2525606708","https://openalex.org/W2560023338","https://openalex.org/W2592939477","https://openalex.org/W2595668780","https://openalex.org/W2630837129","https://openalex.org/W2706395799","https://openalex.org/W2751909359","https://openalex.org/W2752782242","https://openalex.org/W2754586266","https://openalex.org/W2770131355","https://openalex.org/W2783789550","https://openalex.org/W2788663687","https://openalex.org/W2801165650","https://openalex.org/W2822024738","https://openalex.org/W2886667086","https://openalex.org/W2890068671","https://openalex.org/W2891006222","https://openalex.org/W2899547849","https://openalex.org/W2899986319","https://openalex.org/W2962850830","https://openalex.org/W2963351448","https://openalex.org/W2963420686","https://openalex.org/W2963840672","https://openalex.org/W2964227007","https://openalex.org/W2964350391","https://openalex.org/W3099458002","https://openalex.org/W4251033893","https://openalex.org/W4289753154","https://openalex.org/W4301597955","https://openalex.org/W6612134913","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6674914833","https://openalex.org/W6684191040","https://openalex.org/W6743645564","https://openalex.org/W6743731764","https://openalex.org/W6947861482"],"related_works":["https://openalex.org/W3132983279","https://openalex.org/W2495356367","https://openalex.org/W1522520750","https://openalex.org/W2392687107","https://openalex.org/W3124990892","https://openalex.org/W2130323728","https://openalex.org/W2944641486","https://openalex.org/W2182121179","https://openalex.org/W3207208339","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0],"deep":[1],"convolutional":[2,149],"network":[3,15,38,94,151],"has":[4],"shown":[5],"excellent":[6],"performance":[7,125],"in":[8,74,130],"medical":[9,109],"image":[10],"analysis.":[11],"However,":[12],"almost":[13],"all":[14],"variants":[16],"are":[17],"presented":[18],"for":[19,48],"one":[20],"specific":[21],"task,":[22],"e.g.,":[23],"segment":[24],"pancreas":[25],"on":[26,105],"computerized":[27],"tomography":[28],"(CT).":[29],"In":[30],"this":[31],"paper,":[32],"we":[33,85],"propose":[34],"a":[35,123],"nested":[36,64],"dilation":[37],"(NDN)":[39],"which":[40],"is":[41],"applied":[42],"to":[43,79,91,95,142,153],"multiple":[44],"segmentation":[45,99,110],"tasks":[46],"even":[47],"different":[49],"modalities,":[50],"including":[51],"CT,":[52],"magnetic":[53],"resonance":[54],"imaging":[55],"(MRI),":[56],"and":[57,113,115],"endoscopic":[58],"images.":[59],"We":[60,101],"design":[61],"residual":[62],"blocks":[63],"with":[65],"dilations":[66],"(RnD":[67],"Blocks)":[68],"that":[69,119],"catch":[70],"larger":[71],"receptive":[72],"field":[73],"the":[75,87,93,116,127,144,148],"first":[76],"few":[77],"layers":[78],"boost":[80],"shallow":[81],"semantic":[82],"information.":[83],"Besides,":[84],"apply":[86],"modified":[88],"focal":[89],"loss":[90],"help":[92],"provide":[96],"more":[97],"accurate":[98],"results.":[100],"evaluate":[102],"our":[103,120],"method":[104,121],"five":[106],"subtasks":[107],"from":[108],"decathlon":[111],"challenge":[112],"GIANA2018,":[114],"results":[117],"show":[118],"achieves":[122],"better":[124,155],"than":[126],"latest":[128],"methods":[129],"each":[131],"task.":[132],"A":[133],"lot":[134],"of":[135,147],"research":[136],"works":[137],"have":[138],"been":[139],"done":[140],"recently":[141],"strengthen":[143],"learning":[145],"power":[146],"neural":[150],"(CNN)":[152],"get":[154],"performance.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
