{"id":"https://openalex.org/W3026063058","doi":"https://doi.org/10.1109/isbi45749.2020.9098722","title":"Relational Learning Between Multiple Pulmonary Nodules via Deep Set Attention Transformers","display_name":"Relational Learning Between Multiple Pulmonary Nodules via Deep Set Attention Transformers","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3026063058","doi":"https://doi.org/10.1109/isbi45749.2020.9098722","mag":"3026063058"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.05640","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020501435","display_name":"Jiancheng Yang","orcid":"https://orcid.org/0000-0003-4455-7145"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiancheng Yang","raw_affiliation_strings":["Diannei Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Diannei Technology, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101541937","display_name":"Haoran Deng","orcid":"https://orcid.org/0009-0003-1568-5161"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Deng","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101688594","display_name":"Xiaoyang Huang","orcid":"https://orcid.org/0000-0002-9430-0359"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Huang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014362734","display_name":"Bingbing Ni","orcid":"https://orcid.org/0000-0001-7339-028X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bingbing Ni","raw_affiliation_strings":["Huawei Hisilicon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Hisilicon","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101848162","display_name":"Yi Xu","orcid":"https://orcid.org/0000-0002-5280-6132"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Xu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1875","last_page":"1878"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9970999956130981,"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":0.9970999956130981,"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":0.972000002861023,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9462000131607056,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6774327158927917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6588684320449829},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6441013813018799},{"id":"https://openalex.org/keywords/nodule","display_name":"Nodule (geology)","score":0.559262752532959},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5266373157501221},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.5097010135650635},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4703310430049896},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4428379237651825},{"id":"https://openalex.org/keywords/malignancy","display_name":"Malignancy","score":0.4391842484474182},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3641219437122345},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18021878600120544},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16797605156898499},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1589203178882599}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6774327158927917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588684320449829},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6441013813018799},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.559262752532959},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5266373157501221},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.5097010135650635},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4703310430049896},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4428379237651825},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.4391842484474182},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3641219437122345},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18021878600120544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16797605156898499},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1589203178882599},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.05640","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.05640","pdf_url":"https://arxiv.org/pdf/2004.05640","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.05640","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.05640","pdf_url":"https://arxiv.org/pdf/2004.05640","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1986649315","https://openalex.org/W2107854589","https://openalex.org/W2511730936","https://openalex.org/W2524399695","https://openalex.org/W2584017349","https://openalex.org/W2769848455","https://openalex.org/W2887808321","https://openalex.org/W2894585861","https://openalex.org/W2943960805","https://openalex.org/W2963057320","https://openalex.org/W2963403868","https://openalex.org/W2963446712","https://openalex.org/W2979708147","https://openalex.org/W4385245566","https://openalex.org/W6638667902","https://openalex.org/W6739901393","https://openalex.org/W6768953347"],"related_works":["https://openalex.org/W3181676408","https://openalex.org/W1549959306","https://openalex.org/W320292658","https://openalex.org/W2186138942","https://openalex.org/W2806326686","https://openalex.org/W2001007279","https://openalex.org/W2079674650","https://openalex.org/W2945061532","https://openalex.org/W2389834944","https://openalex.org/W191987727"],"abstract_inverted_index":{"Diagnosis":[0],"and":[1,41,130],"treatment":[2],"of":[3,139],"multiple":[4,21,36,51,56,86,116],"pulmonary":[5,87],"nodules":[6,57],"are":[7],"clinically":[8],"important":[9],"but":[10],"challenging.":[11],"Prior":[12],"studies":[13],"on":[14,20,121,127,133],"nodule":[15,123],"characterization":[16],"use":[17],"solitary-nodule":[18,69],"approaches":[19],"nodular":[22],"patients,":[23],"which":[24],"ignores":[25],"the":[26,44,48,55,78,83,137,140],"relations":[27,49,84],"between":[28,50,68,85],"nodules.":[29,52,88],"In":[30],"this":[31],"study,":[32],"we":[33,99],"propose":[34],"a":[35,59,63,101],"instance":[37,117],"learning":[38],"(MIL)":[39],"approach":[40],"empirically":[42],"prove":[43],"benefit":[45],"to":[46,81,110],"learn":[47,82],"By":[53],"treating":[54],"from":[58],"same":[60],"patient":[61],"as":[62],"whole,":[64],"critical":[65],"relational":[66],"information":[67],"voxels":[70],"is":[71,77],"extracted.":[72],"To":[73],"our":[74],"knowledge,":[75],"it":[76],"first":[79],"study":[80],"Inspired":[89],"by":[90],"recent":[91],"advances":[92],"in":[93,115],"natural":[94],"language":[95],"processing":[96],"(NLP)":[97],"domain,":[98],"introduce":[100],"self-attention":[102],"transformer":[103],"equipped":[104],"with":[105],"3D":[106],"CNN,":[107],"named":[108],"NoduleSAT,":[109],"replace":[111],"typical":[112],"pooling-based":[113],"aggregation":[114],"learning.":[118],"Extensive":[119],"experiments":[120],"lung":[122],"false":[124],"positive":[125],"reduction":[126],"LUNA16":[128],"database,":[129,135],"malignancy":[131],"classification":[132],"LIDC-IDRI":[134],"validate":[136],"effectiveness":[138],"proposed":[141],"method.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2020-05-29T00:00:00"}