{"id":"https://openalex.org/W4206023497","doi":"https://doi.org/10.1109/bibm52615.2021.9669708","title":"A prior-based method for colorectal lymph node region classification via deep neural network","display_name":"A prior-based method for colorectal lymph node region classification via deep neural network","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4206023497","doi":"https://doi.org/10.1109/bibm52615.2021.9669708"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669708","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"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/A5112506631","display_name":"Yueyao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yueyao Huang","raw_affiliation_strings":["Machine Intelligence Laboratory, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101571653","display_name":"Shuo Huang","orcid":"https://orcid.org/0009-0008-3736-3207"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Huang","raw_affiliation_strings":["Gastrointestinal Surgery Center, West China Hospital, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Gastrointestinal Surgery Center, West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452665","display_name":"Han Wang","orcid":"https://orcid.org/0000-0001-9282-2105"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Wang","raw_affiliation_strings":["Machine Intelligence Laboratory, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007245762","display_name":"Mingtian Wei","orcid":"https://orcid.org/0000-0002-9602-3201"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingtian Wei","raw_affiliation_strings":["Gastrointestinal Surgery Center, West China Hospital, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Gastrointestinal Surgery Center, West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101710294","display_name":"Jingling Wang","orcid":"https://orcid.org/0000-0003-2348-2009"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingling Wang","raw_affiliation_strings":["Machine Intelligence Laboratory, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064083580","display_name":"Haixian Zhang","orcid":"https://orcid.org/0000-0002-9821-508X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixian Zhang","raw_affiliation_strings":["Machine Intelligence Laboratory, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059705124","display_name":"Ziqiang Wang","orcid":"https://orcid.org/0000-0002-2874-1535"},"institutions":[{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqiang Wang","raw_affiliation_strings":["Gastrointestinal Surgery Center, West China Hospital, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Gastrointestinal Surgery Center, West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388188","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-5867-9322"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Yi","raw_affiliation_strings":["Machine Intelligence Laboratory, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5112506631"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.6043,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60638298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1741","last_page":"1748"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9995999932289124,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9995999932289124,"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/T10862","display_name":"AI in cancer detection","score":0.998199999332428,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.996399998664856,"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":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6751160621643066},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5740597248077393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5584890246391296},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4769422113895416},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4491720199584961},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3997194468975067},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06800031661987305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6751160621643066},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5740597248077393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5584890246391296},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4769422113895416},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4491720199584961},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3997194468975067},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06800031661987305},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669708","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306424","display_name":"Medical Foundation","ror":"https://ror.org/02zfaen51"},{"id":"https://openalex.org/F4320317014","display_name":"Bethune Charitable Foundation","ror":null},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1757407923","https://openalex.org/W2097117768","https://openalex.org/W2125452425","https://openalex.org/W2127809867","https://openalex.org/W2151748218","https://openalex.org/W2194775991","https://openalex.org/W2235523093","https://openalex.org/W2507943999","https://openalex.org/W2581082771","https://openalex.org/W2770114997","https://openalex.org/W2884985635","https://openalex.org/W2903531862","https://openalex.org/W2958184188","https://openalex.org/W3082316537","https://openalex.org/W3163589205","https://openalex.org/W4245045357"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W2350679292","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Colorectal":[0],"cancer":[1],"(CRC)":[2],"is":[3,29,57,69,96,122],"a":[4,58],"common":[5],"malignant":[6],"tumor":[7],"disease":[8],"appeared":[9],"in":[10,140,163,181],"colon":[11],"or":[12],"rectum":[13],"walls.":[14],"CRC":[15,24,32,47,72],"metastasis":[16],"often":[17],"appears":[18],"with":[19],"lymph":[20,25,38,43,73],"nodes,":[21],"and":[22,41,60,90,145,170,186],"the":[23,52,104,111,119,127,141,156,178],"nodes":[26,39,44],"region":[27,75],"classification":[28,76,161,184],"essential":[30],"for":[31],"diagnosis,":[33],"generally":[34],"classified":[35],"as":[36],"lateral":[37],"(LLN)":[40],"non-lateral":[42],"(NLLN).":[45],"Previous":[46],"diagnosis":[48],"relied":[49],"heavily":[50],"on":[51,67,98],"physician\u2019s":[53],"clinical":[54],"experience,":[55],"which":[56,129],"manual":[59],"time-consuming":[61],"process.":[62],"An":[63],"automated":[64],"method":[65,158,180],"based":[66,97],"prior":[68,89,95,121],"proposed":[70,123,157,179],"to":[71,102,131,148],"node":[74],"using":[77],"Convolutional":[78],"neural":[79,149],"networks":[80],"(CNNs).":[81],"Two":[82],"novel":[83],"priors":[84],"are":[85],"proposed,":[86],"including":[87],"spatial":[88,94],"shape":[91,120],"prior.":[92],"The":[93],"medical":[99,183],"domain":[100],"knowledge":[101],"relieve":[103],"difficulty":[105],"of":[106,115,165,168,173],"extracting":[107],"useful":[108],"features":[109,139],"from":[110],"complex":[112],"semantic":[113],"information":[114],"CT":[116,143],"images.":[117],"And":[118],"through":[124],"carefully":[125],"analyzing":[126],"dataset,":[128],"aims":[130],"find":[132],"an":[133,166,171],"optimal":[134],"size":[135],"that":[136,155],"can":[137],"preserve":[138],"origin":[142],"images":[144],"be":[146],"adaptive":[147],"network":[150],"input.":[151],"Experimental":[152],"results":[153],"demonstrate":[154],"achieves":[159,189],"impressive":[160],"performance,":[162],"terms":[164],"accuracy":[167],"96.66%":[169],"AUC":[172],"0.9941.":[174],"Additionally,":[175],"we":[176],"apply":[177],"other":[182],"works":[185],"it":[187],"also":[188],"satisfying":[190],"results.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
