{"id":"https://openalex.org/W3006103913","doi":"https://doi.org/10.1109/jbhi.2020.2972694","title":"Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images","display_name":"Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images","publication_year":2020,"publication_date":"2020-02-11","ids":{"openalex":"https://openalex.org/W3006103913","doi":"https://doi.org/10.1109/jbhi.2020.2972694","mag":"3006103913","pmid":"https://pubmed.ncbi.nlm.nih.gov/32054593"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.2972694","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"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/A5101735199","display_name":"Xiaobin Hu","orcid":"https://orcid.org/0000-0002-5764-3096"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiaobin Hu","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100753426","display_name":"Rui Guo","orcid":"https://orcid.org/0000-0003-1542-6111"},"institutions":[{"id":"https://openalex.org/I2801556517","display_name":"Ruijin Hospital","ror":"https://ror.org/01hv94n30","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801556517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Guo","raw_affiliation_strings":["Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China","institution_ids":["https://openalex.org/I2801556517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066600512","display_name":"Jieneng Chen","orcid":"https://orcid.org/0000-0002-6692-4455"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieneng Chen","raw_affiliation_strings":["College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325337","display_name":"Hongwei Li","orcid":"https://orcid.org/0000-0002-5328-6407"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hongwei Li","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079186551","display_name":"Diana Waldmannstetter","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Diana Waldmannstetter","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080161214","display_name":"Yu Zhao","orcid":"https://orcid.org/0000-0001-8179-4903"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yu Zhao","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334863","display_name":"Biao Li","orcid":"https://orcid.org/0000-0002-0493-2062"},"institutions":[{"id":"https://openalex.org/I2801556517","display_name":"Ruijin Hospital","ror":"https://ror.org/01hv94n30","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801556517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Li","raw_affiliation_strings":["Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China","institution_ids":["https://openalex.org/I2801556517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083651238","display_name":"Kuangyu Shi","orcid":"https://orcid.org/0000-0002-8714-3084"},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Kuangyu Shi","raw_affiliation_strings":["Lab for Artificial Intelligence & Translational Theranostics, University of Bern, Bern, Switzerland"],"affiliations":[{"raw_affiliation_string":"Lab for Artificial Intelligence & Translational Theranostics, University of Bern, Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002068604","display_name":"Bjoern Menze","orcid":"https://orcid.org/0000-0003-4136-5690"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjoern Menze","raw_affiliation_strings":["Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.684,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.999952,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"24","issue":"9","first_page":"2599","last_page":"2608"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.999,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.999,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9932,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9891,"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":[],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5930404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55826676},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5436387},{"id":"https://openalex.org/C2779338263","wikidata":"https://www.wikidata.org/wiki/Q208414","display_name":"Lymphoma","level":2,"score":0.5276581},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5227973},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5207848},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.44915572},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.4187387},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40453044},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.34850222},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2844112},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.216429}],"mesh":[{"descriptor_ui":"D016399","descriptor_name":"Lymphoma, T-Cell","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.2972694","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32054593","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.62,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":43,"referenced_works":["https://openalex.org/W1605230984","https://openalex.org/W1745334888","https://openalex.org/W1884191083","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2035405202","https://openalex.org/W2044933778","https://openalex.org/W2095705004","https://openalex.org/W2099471712","https://openalex.org/W2103328396","https://openalex.org/W2117754708","https://openalex.org/W2138498369","https://openalex.org/W2149250280","https://openalex.org/W2225156818","https://openalex.org/W2301358467","https://openalex.org/W2416844197","https://openalex.org/W2464708700","https://openalex.org/W2503110302","https://openalex.org/W2533800772","https://openalex.org/W2554423077","https://openalex.org/W2610571781","https://openalex.org/W2774764242","https://openalex.org/W2787769342","https://openalex.org/W2810520599","https://openalex.org/W2886155082","https://openalex.org/W2887926055","https://openalex.org/W2891656998","https://openalex.org/W2892104854","https://openalex.org/W2896052670","https://openalex.org/W2897755679","https://openalex.org/W2904322775","https://openalex.org/W2909481502","https://openalex.org/W2920149494","https://openalex.org/W2921841179","https://openalex.org/W2951965145","https://openalex.org/W2962914239","https://openalex.org/W2963073614","https://openalex.org/W2963563573","https://openalex.org/W2964059111","https://openalex.org/W3101380508","https://openalex.org/W3101639073","https://openalex.org/W4320013936","https://openalex.org/W582134693"],"related_works":["https://openalex.org/W4310988119","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4285226279","https://openalex.org/W4246396837","https://openalex.org/W3191453585","https://openalex.org/W3126451824","https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W1561927205"],"abstract_inverted_index":{"Extranodal":[0],"natural":[1],"killer/T":[2],"cell":[3],"lymphoma":[4],"(ENKL),":[5],"nasal":[6],"type":[7],"is":[8,31,42,180,226],"a":[9,15,81,98,128,176],"kind":[10],"of":[11,28,75,137,150,190,210],"rare":[12],"disease":[13],"with":[14],"low":[16],"survival":[17],"rate":[18],"that":[19,222],"primarily":[20],"affects":[21],"Asian":[22],"and":[23,37,95,111,116,167,170,200,229],"South":[24],"American":[25],"populations.":[26],"Segmentation":[27],"ENKL":[29,52,62],"lesions":[30,79],"crucial":[32,184],"for":[33,50,61,153,186],"clinical":[34],"decision":[35],"support":[36],"treatment":[38],"planning.":[39],"This":[40,179],"paper":[41],"the":[43,51,68,73,78,86,105,134,148,160,165,168,183,188,191,207,213,216,223],"first":[44,135],"study":[45],"on":[46,142,164],"computer-aided":[47],"diagnosis":[48],"systems":[49],"segmentation":[53,63,82,93,236],"problem.":[54],"We":[55],"propose":[56,159],"an":[57,91,124],"automatic,":[58],"coarse-to-fine":[59],"approach":[60],"using":[64],"adversarial":[65,92,125],"networks.":[66],"In":[67,85],"coarse":[69],"stage,":[70,88],"we":[71,89,132,158],"extract":[72],"region":[74],"interest":[76],"bounding":[77],"utilizing":[80],"neural":[83],"network.":[84],"fine":[87],"use":[90],"network":[94,106],"further":[96],"introduce":[97],"multi-scale":[99],"L1":[100],"loss":[101],"function":[102],"to":[103,107,175],"drive":[104],"learn":[108],"both":[109],"global":[110],"local":[112],"features.":[113],"The":[114],"generator":[115],"discriminator":[117],"are":[118],"alternately":[119],"trained":[120],"by":[121,198,202],"backpropagation":[122],"in":[123,127,147],"fashion":[126],"min-max":[129],"game.":[130],"Furthermore,":[131],"present":[133],"exploration":[136],"zone-based":[138],"uncertainty":[139,161,211],"estimates":[140],"based":[141,163,235],"Monte":[143],"Carlo":[144],"dropout":[145],"technique":[146],"context":[149],"deep":[151],"networks":[152],"medical":[154],"image":[155],"segmentation.":[156],"Specifically,":[157],"criteria":[162],"lesion":[166,217],"background,":[169],"then":[171],"linearly":[172],"normalize":[173],"them":[174],"specific":[177],"interval.":[178],"not":[181],"only":[182],"criterion":[185],"evaluating":[187],"superiority":[189],"algorithm,":[192],"but":[193],"also":[194],"permits":[195],"subsequent":[196],"optimization":[197],"engineers":[199],"revision":[201],"clinicians":[203],"after":[204],"quantitatively":[205],"understanding":[206],"main":[208],"source":[209],"from":[212],"background":[214],"or":[215],"zone.":[218],"Experimental":[219],"results":[220],"demonstrate":[221],"proposed":[224],"method":[225],"more":[227],"effective":[228],"lesion-zone":[230],"stable":[231],"than":[232],"state-of-the-art":[233],"deep-learning":[234],"model.":[237]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3006103913","counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2024-12-12T21:12:01.087664","created_date":"2020-02-24"}