{"id":"https://openalex.org/W2975386002","doi":"https://doi.org/10.1109/icdim.2018.8847136","title":"Lung cancer medical image recognition using Deep Neural Networks","display_name":"Lung cancer medical image recognition using Deep Neural Networks","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2975386002","doi":"https://doi.org/10.1109/icdim.2018.8847136","mag":"2975386002"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2018.8847136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2018.8847136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Thirteenth International Conference on Digital Information Management (ICDIM)","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/A5084464251","display_name":"Goran Jakimovski","orcid":"https://orcid.org/0000-0001-8685-3589"},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Saints Cyril and Methodius University of Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":true,"raw_author_name":"Goran Jakimovski","raw_affiliation_strings":["Faculty of electrical engineering and information technology, University Ss. Cyril and Methodius, Skopje, Macedonia"],"affiliations":[{"raw_affiliation_string":"Faculty of electrical engineering and information technology, University Ss. Cyril and Methodius, Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023714207","display_name":"Danco Dav\u010dev","orcid":null},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Saints Cyril and Methodius University of Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Danco Davcev","raw_affiliation_strings":["Faculty of electrical engineering and information technology, University Ss. Cyril and Methodius, Skopje, Macedonia"],"affiliations":[{"raw_affiliation_string":"Faculty of electrical engineering and information technology, University Ss. Cyril and Methodius, Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084464251"],"corresponding_institution_ids":["https://openalex.org/I76245029"],"apc_list":null,"apc_paid":null,"fwci":1.6288,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88170002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9629999995231628,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9629999995231628,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9358999729156494,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9204000234603882,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7014748454093933},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.6943601369857788},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6645932197570801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.650201141834259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6443641185760498},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6254539489746094},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.49405625462532043},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4759661555290222},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.45850569009780884},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4492567181587219},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4424581825733185},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.4122854173183441},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3217359185218811},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.23978838324546814},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23399221897125244},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.20248812437057495},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.06744459271430969}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7014748454093933},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.6943601369857788},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6645932197570801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.650201141834259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6443641185760498},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6254539489746094},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.49405625462532043},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4759661555290222},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.45850569009780884},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4492567181587219},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4424581825733185},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.4122854173183441},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3217359185218811},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.23978838324546814},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23399221897125244},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.20248812437057495},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.06744459271430969}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2018.8847136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2018.8847136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Thirteenth International Conference on Digital Information Management (ICDIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1932469787","https://openalex.org/W2785749360","https://openalex.org/W2790277825","https://openalex.org/W2794061921","https://openalex.org/W2950619241"],"related_works":["https://openalex.org/W2810679507","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/W2964954556","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Medical":[0],"images":[1,79],"(Magnetic":[2],"Resonance":[3],"Imaging":[4],"scans)":[5],"are":[6,29,77,121],"used":[7],"by":[8,45,62,66],"doctors":[9,41,106],"and":[10,72,117,137],"medical":[11],"specialists":[12],"to":[13,39,52,85],"determine":[14,86],"the":[15,23,47,87,94,102,122],"possibility":[16],"that":[17],"a":[18,26],"cancer":[19,84,115,136],"is":[20],"present":[21],"in":[22,93,111],"lungs":[24],"of":[25,70,125,132,134],"patient.":[27],"We":[28],"using":[30,78],"these":[31],"images,":[32],"along":[33],"with":[34,42],"Deep":[35,48,57,97],"Neural":[36,49,58,98],"Network":[37,50,59],"algorithms":[38],"help":[40,110],"image":[43],"diagnostics":[44],"training":[46],"(DNN)":[51],"recognize":[53],"lung":[54,83,114,135],"cancer.":[55,103],"Our":[56],"introduces":[60],"novelty":[61],"making":[63],"extensive":[64],"search":[65,131],"adding":[67],"additional":[68,109],"layers":[69],"convolution":[71],"max":[73],"pooling.":[74],"Moreover,":[75],"we":[76],"from":[80],"slow":[81],"progressing":[82],"threshold":[88],"or":[89],"at":[90],"which":[91,128],"point":[92],"progression,":[95],"our":[96,126],"Network,":[99],"will":[100,107],"diagnose":[101],"Using":[104],"this,":[105],"have":[108],"early":[112,118,138],"phase":[113],"detection":[116],"treatment.":[119],"These":[120],"main":[123],"purposes":[124],"research,":[127],"includes":[129],"thorough":[130],"possibilities":[133],"detection.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}