{"id":"https://openalex.org/W3089558177","doi":"https://doi.org/10.1109/icip40778.2020.9190653","title":"Knowledge-Guided And Hyper-Attention Aware Joint Network For Benign-Malignant Lung Nodule Classification","display_name":"Knowledge-Guided And Hyper-Attention Aware Joint Network For Benign-Malignant Lung Nodule Classification","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3089558177","doi":"https://doi.org/10.1109/icip40778.2020.9190653","mag":"3089558177"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9190653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036808699","display_name":"Weixin Xu","orcid":"https://orcid.org/0000-0003-2915-5885"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixin Xu","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366662","display_name":"Kun Wang","orcid":"https://orcid.org/0000-0002-4794-2359"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Wang","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001257388","display_name":"Jingkai Lin","orcid":"https://orcid.org/0000-0001-6409-0146"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingkai Lin","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059560149","display_name":"Yuting L\u00fc","orcid":"https://orcid.org/0000-0001-7632-2928"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Lu","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052560070","display_name":"Sheng Huang","orcid":"https://orcid.org/0000-0001-5610-0826"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Huang","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100330109","display_name":"Xiaohong Zhang","orcid":"https://orcid.org/0000-0002-1767-9342"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Zhang","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":1.426,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83049593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"310","last_page":"314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.9970999956130981,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8588995933532715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7695949077606201},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6631391048431396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6226955056190491},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5303485989570618},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5127635598182678},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4590626358985901},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4463045299053192},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43212565779685974},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.42421701550483704},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20574480295181274},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.11904320120811462}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8588995933532715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7695949077606201},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6631391048431396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6226955056190491},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5303485989570618},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5127635598182678},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4590626358985901},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4463045299053192},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43212565779685974},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.42421701550483704},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20574480295181274},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.11904320120811462},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9190653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1980287119","https://openalex.org/W1986649315","https://openalex.org/W2078014989","https://openalex.org/W2083927153","https://openalex.org/W2235523093","https://openalex.org/W2322371438","https://openalex.org/W2394599079","https://openalex.org/W2884436604","https://openalex.org/W2890730827","https://openalex.org/W2941706909","https://openalex.org/W2962852641","https://openalex.org/W2963488165","https://openalex.org/W2963553763","https://openalex.org/W2964121744","https://openalex.org/W2964264523","https://openalex.org/W2970075457","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6753182481"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Accurate":[0],"identification":[1],"and":[2,44,61,102,149],"early":[3],"diagnosis":[4],"of":[5,16,37,42,54],"malignant":[6,121],"lung":[7,19],"nodules":[8,123],"are":[9],"crucial":[10,63],"for":[11],"improving":[12],"the":[13,35,40,48,55,59,106,137,142,146],"survival":[14],"rate":[15],"patients":[17],"with":[18],"cancer.":[20],"Deep":[21],"learning":[22],"methods":[23,94],"have":[24],"recently":[25],"been":[26],"proven":[27],"success":[28],"in":[29,51,69,105],"computer-aided":[30],"diagnostic":[31],"tasks.":[32],"However,":[33],"to":[34,100,119,135],"best":[36],"our":[38],"knowledge,":[39,92],"features":[41],"tissues":[43],"vessels":[45],"will":[46],"disturb":[47],"model":[49,118,144],"resulting":[50],"inaccurate":[52],"classification":[53],"nodules.":[56],"To":[57],"reduce":[58],"interference":[60],"capture":[62],"contextual":[64],"information":[65],"from":[66,124],"different":[67],"channels":[68],"a":[70,76,115],"more":[71],"efficient":[72],"way,":[73],"we":[74,113],"introduce":[75],"Hyper-Attention":[77],"Mechanism(HAM)":[78],"that":[79],"can":[80],"be":[81],"easily":[82],"integrated":[83],"into":[84,133],"convolutional":[85],"neural":[86],"networks(CNNs).":[87],"Moreover,":[88],"without":[89],"incorporating":[90],"prior-domain":[91],"traditional":[93],"lack":[95],"interpretability,":[96],"which":[97,128],"is":[98],"difficult":[99],"understand":[101],"utilize":[103],"them":[104],"clinic":[107],"by":[108,153],"radiologists.":[109],"Based":[110],"on":[111,145],"this,":[112],"propose":[114],"novel":[116],"Knowledge-Guided":[117],"predict":[120],"pulmonary":[122],"chest":[125],"CT":[126],"data,":[127],"inject":[129],"external":[130],"medical":[131],"knowledge":[132],"CNNs":[134],"guide":[136],"training":[138],"process.":[139],"We":[140],"evaluate":[141],"proposed":[143],"LIDC-IDRI":[147],"dataset":[148],"demonstrate":[150],"its":[151],"effectiveness":[152],"achieving":[154],"comparable":[155],"state-of-the-art":[156],"performance.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
