{"id":"https://openalex.org/W3165387463","doi":"https://doi.org/10.1109/tmi.2021.3084748","title":"Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation","display_name":"Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation","publication_year":2021,"publication_date":"2021-05-28","ids":{"openalex":"https://openalex.org/W3165387463","doi":"https://doi.org/10.1109/tmi.2021.3084748","mag":"3165387463","pmid":"https://pubmed.ncbi.nlm.nih.gov/34048339"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3084748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3084748","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8692166","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hyunseok Seo","orcid":"https://orcid.org/0000-0003-0224-8942"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["KR","US"],"is_corresponding":true,"raw_author_name":"Hyunseok Seo","raw_affiliation_strings":["Center for Bionics, Biomedical Research Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea","Department of Radiation Oncology, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Bionics, Biomedical Research Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea","institution_ids":["https://openalex.org/I58716616"]},{"raw_affiliation_string":"Department of Radiation Oncology, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lequan Yu","orcid":"https://orcid.org/0000-0002-9315-6527"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lequan Yu","raw_affiliation_strings":["Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongyi Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyi Ren","raw_affiliation_strings":["Department of Radiation Oncology, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaomeng Li","orcid":"https://orcid.org/0000-0003-1105-8083"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaomeng Li","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liyue Shen","orcid":"https://orcid.org/0000-0001-5942-3196"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liyue Shen","raw_affiliation_strings":["Department of Radiation Oncology, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lei Xing","orcid":"https://orcid.org/0000-0003-2536-5359"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Xing","raw_affiliation_strings":["Department of Radiation Oncology, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I58716616","https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":2.4275,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.90689934,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"40","issue":"12","first_page":"3369","last_page":"3378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5367000102996826,"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":0.5367000102996826,"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":0.18619999289512634,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.04560000076889992,"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/deep-learning","display_name":"Deep learning","score":0.8208000063896179},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7811999917030334},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6825000047683716},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6015999913215637},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.588100016117096},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5633000135421753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47839999198913574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4194999933242798}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8208000063896179},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7811999917030334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7452999949455261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213000059127808},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6825000047683716},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6015999913215637},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.588100016117096},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5633000135421753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4194999933242798},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.40299999713897705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3935999870300293},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.30660000443458557},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2702000141143799},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.26350000500679016}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1109/tmi.2021.3084748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3084748","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:34048339","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34048339","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":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8692166","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8692166","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-111288","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000724511900011","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-111288","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-111288","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:8692166","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8692166","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2408076878","display_name":null,"funder_award_id":"2E31071","funder_id":"https://openalex.org/F4320322091","funder_display_name":"Korea Institute of Science and Technology"},{"id":"https://openalex.org/G4843544039","display_name":null,"funder_award_id":"2E31122","funder_id":"https://openalex.org/F4320322091","funder_display_name":"Korea Institute of Science and Technology"},{"id":"https://openalex.org/G5691883761","display_name":null,"funder_award_id":"1R01CA227713","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G7220612886","display_name":null,"funder_award_id":"2K02540","funder_id":"https://openalex.org/F4320322091","funder_display_name":"Korea Institute of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320308507","display_name":"Stanford University","ror":"https://ror.org/00f54p054"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320322091","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W2004915807","https://openalex.org/W2049748121","https://openalex.org/W2081178133","https://openalex.org/W2082526668","https://openalex.org/W2133028291","https://openalex.org/W2135046866","https://openalex.org/W2138047924","https://openalex.org/W2194775991","https://openalex.org/W2310992461","https://openalex.org/W2321272510","https://openalex.org/W2323200062","https://openalex.org/W2464708700","https://openalex.org/W2550380503","https://openalex.org/W2554204699","https://openalex.org/W2560725027","https://openalex.org/W2562637781","https://openalex.org/W2562771828","https://openalex.org/W2581082771","https://openalex.org/W2610880400","https://openalex.org/W2613041730","https://openalex.org/W2752747624","https://openalex.org/W2772246530","https://openalex.org/W2796630897","https://openalex.org/W2807086064","https://openalex.org/W2885185546","https://openalex.org/W2897666251","https://openalex.org/W2913812556","https://openalex.org/W2922073769","https://openalex.org/W2953381595","https://openalex.org/W2959397617","https://openalex.org/W2962716568","https://openalex.org/W2962914239","https://openalex.org/W2963446712","https://openalex.org/W2964227007","https://openalex.org/W2982067315","https://openalex.org/W2986785750","https://openalex.org/W2989552938","https://openalex.org/W2997189273","https://openalex.org/W3014974815","https://openalex.org/W3034225195","https://openalex.org/W3093458154","https://openalex.org/W3096019617","https://openalex.org/W4250482878","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6694517276","https://openalex.org/W6725739302","https://openalex.org/W6739365718","https://openalex.org/W6754239853","https://openalex.org/W6755310813","https://openalex.org/W6755875945","https://openalex.org/W6758047254","https://openalex.org/W6759274242","https://openalex.org/W6759785765","https://openalex.org/W6761292208"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning":[1,25,88,129,150],"is":[2,84,104,139],"becoming":[3],"an":[4,66],"indispensable":[5],"tool":[6],"for":[7,70],"imaging":[8],"applications,":[9],"such":[10],"as":[11],"image":[12,54,78],"segmentation,":[13],"classification,":[14],"and":[15,43,96,109,113,142],"detection.":[16],"In":[17],"this":[18],"work,":[19],"we":[20,64],"reformulate":[21],"a":[22,28],"standard":[23,132],"deep":[24,46,133,149],"problem":[26],"into":[27],"new":[29],"neural":[30,47,134],"network":[31,48],"architecture":[32],"with":[33,116],"multi-output":[34],"channels,":[35,63],"which":[36],"reflects":[37],"different":[38],"facets":[39],"of":[40,53,74,111],"the":[41,45,51,71,100,107,131],"objective,":[42],"apply":[44],"to":[49],"improve":[50],"performance":[52],"segmentation.":[55],"By":[56],"adding":[57],"one":[58],"or":[59],"more":[60],"interrelated":[61],"auxiliary-output":[62,97],"impose":[65],"effective":[67],"consistency":[68,82,125],"regularization":[69,83],"main":[72],"task":[73],"pixelated":[75],"classification":[76],"(i.e.,":[77],"segmentation).":[79],"Specifically,":[80],"multi-output-channel":[81,124],"realized":[85],"by":[86,127],"residual":[87,128],"via":[89],"additive":[90],"paths":[91],"that":[92,123],"connect":[93],"main-output":[94],"channel":[95],"channels":[98],"in":[99,147],"network.":[101,135],"The":[102,119,136],"method":[103],"evaluated":[105],"on":[106],"detection":[108],"delineation":[110],"lung":[112],"liver":[114],"tumors":[115],"public":[117],"data.":[118],"results":[120],"clearly":[121],"show":[122],"implemented":[126],"improves":[130],"proposed":[137],"framework":[138],"quite":[140],"broad":[141],"should":[143],"find":[144],"widespread":[145],"applications":[146],"various":[148],"problems.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2021-06-07T00:00:00"}
