{"id":"https://openalex.org/W2913456898","doi":"https://doi.org/10.1109/bibm.2018.8621468","title":"3D Convolutional Neural Networks Fusion Model for Lung Nodule Detection onClinical CT Scans","display_name":"3D Convolutional Neural Networks Fusion Model for Lung Nodule Detection onClinical CT Scans","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2913456898","doi":"https://doi.org/10.1109/bibm.2018.8621468","mag":"2913456898"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5027627793","display_name":"Guitao Cao","orcid":"https://orcid.org/0000-0002-4059-4806"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guitao Cao","raw_affiliation_strings":["MOE Research Center for Software/Hardware Co-Design Engineering, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MOE Research Center for Software/Hardware Co-Design Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083936112","display_name":"Tiantian Huang","orcid":"https://orcid.org/0000-0002-9088-6313"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiantian Huang","raw_affiliation_strings":["MOE Research Center for Software/Hardware Co-Design Engineering, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MOE Research Center for Software/Hardware Co-Design Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073348766","display_name":"Kai Hou","orcid":"https://orcid.org/0000-0001-7014-741X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Hou","raw_affiliation_strings":["Department of Radiology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625024","display_name":"Wenming Cao","orcid":"https://orcid.org/0000-0002-8174-6167"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Cao","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346907","display_name":"Peng Liu","orcid":"https://orcid.org/0000-0003-4137-1740"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":["Software Department, MEDITOOL (SHANGHAI) ENTERPRISE Co., Ltd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Software Department, MEDITOOL (SHANGHAI) ENTERPRISE Co., Ltd, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100462857","display_name":"Jiawei Zhang","orcid":"https://orcid.org/0000-0003-4253-9015"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiawei Zhang","raw_affiliation_strings":["Software Department, MEDITOOL (SHANGHAI) ENTERPRISE Co., Ltd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Software Department, MEDITOOL (SHANGHAI) ENTERPRISE Co., Ltd, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027627793"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":1.0901,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79791436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"973","last_page":"978"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9915000200271606,"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":0.9909999966621399,"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/overfitting","display_name":"Overfitting","score":0.8605685234069824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7681006789207458},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7372920513153076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6715828776359558},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6606980562210083},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6294708251953125},{"id":"https://openalex.org/keywords/nodule","display_name":"Nodule (geology)","score":0.5832316279411316},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.576856255531311},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.44095656275749207},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4348875880241394},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3775826096534729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2568967938423157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08427703380584717}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8605685234069824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681006789207458},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7372920513153076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6715828776359558},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6606980562210083},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6294708251953125},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.5832316279411316},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.576856255531311},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.44095656275749207},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4348875880241394},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3775826096534729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2568967938423157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08427703380584717},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321851","display_name":"Fudan University","ror":"https://ror.org/013q1eq08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W317170363","https://openalex.org/W1439484735","https://openalex.org/W1664455877","https://openalex.org/W1677182931","https://openalex.org/W1904365287","https://openalex.org/W1978201669","https://openalex.org/W1986649315","https://openalex.org/W2085146059","https://openalex.org/W2095705004","https://openalex.org/W2102138843","https://openalex.org/W2108069432","https://openalex.org/W2112467442","https://openalex.org/W2132014319","https://openalex.org/W2148076415","https://openalex.org/W2164160732","https://openalex.org/W2322371438","https://openalex.org/W2524399695","https://openalex.org/W2584017349","https://openalex.org/W2781525129","https://openalex.org/W2914484425","https://openalex.org/W2919115771","https://openalex.org/W2963351448","https://openalex.org/W3105950366","https://openalex.org/W6640036494","https://openalex.org/W6674330103","https://openalex.org/W6675204220"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W2922073769","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4221142204","https://openalex.org/W2086542911"],"abstract_inverted_index":{"Automatically":[0],"accurate":[1],"pulmonary":[2],"nodule":[3,29],"detection":[4,30],"plays":[5],"an":[6],"important":[7],"role":[8],"in":[9,66,136,162,178],"lung":[10,28],"cancer":[11],"diagnosis":[12],"and":[13,56,83,107,128,140,170],"early":[14],"treatment.":[15],"We":[16],"propose":[17],"a":[18,143,152,174],"three-dimensional":[19],"(3D)":[20],"Convolutional":[21],"Neural":[22],"Networks":[23],"(ConvNets)":[24],"fusion":[25],"model":[26],"for":[27],"on":[31,48,80,146],"clinical":[32,179],"CT":[33,118],"scans.":[34],"Two":[35],"3D":[36],"ConvNets":[37],"models":[38,91],"are":[39,123],"trained":[40,47],"separately":[41],"without":[42],"any":[43],"pre-training":[44],"weights:":[45],"One":[46],"the":[49,62,85,88,103,121,131,137],"LUng":[50],"Nodule":[51],"Analysis":[52],"2016":[53],"dataset":[54],"(LUNA)":[55],"additional":[57],"augmented":[58],"data":[59,82],"to":[60,92,101,126],"learn":[61],"nodules\u2019":[63],"representative":[64],"features":[65],"volumetric":[67],"space,":[68],"which":[69],"may":[70],"cause":[71],"overfitting":[72],"problems":[73],"meanwhile,":[74],"so":[75],"we":[76,141],"train":[77],"another":[78],"network":[79],"original":[81],"fuse":[84],"results":[86,150],"of":[87,133,154],"two":[89],"best-performing":[90],"reduce":[93],"this":[94,147],"risk.":[95],"Both":[96],"use":[97],"reshaped":[98],"objective":[99],"function":[100],"solve":[102],"class":[104],"imbalance":[105],"problem":[106],"differentiate":[108],"hard":[109],"samples":[110],"from":[111,120],"easy":[112],"samples.":[113],"More":[114],"importantly,":[115],"335":[116],"patients\u2019":[117],"scans":[119],"hospital":[122],"further":[124],"used":[125],"evaluate":[127],"help":[129],"optimize":[130],"performance":[132],"our":[134,171],"approach":[135],"real":[138],"situation,":[139],"develop":[142],"system":[144,172],"based":[145],"method.":[148],"Experimental":[149],"show":[151],"sensitivity":[153],"95.1%":[155],"at":[156],"8":[157],"false":[158],"positives":[159],"per":[160],"scan":[161],"Free":[163],"Receiver":[164],"Operating":[165],"Characteristics":[166],"(FROC)":[167],"curve":[168],"analysis,":[169],"has":[173],"pleasing":[175],"generalization":[176],"ability":[177],"data.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}