{"id":"https://openalex.org/W3173313140","doi":"https://doi.org/10.1109/cybconf51991.2021.9464132","title":"Automatic benign and malignant estimation of bone tumors using deep learning","display_name":"Automatic benign and malignant estimation of bone tumors using deep learning","publication_year":2021,"publication_date":"2021-06-08","ids":{"openalex":"https://openalex.org/W3173313140","doi":"https://doi.org/10.1109/cybconf51991.2021.9464132","mag":"3173313140"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf51991.2021.9464132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf51991.2021.9464132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th IEEE International Conference on Cybernetics (CYBCONF)","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/A5064110408","display_name":"Kaito Furuo","orcid":null},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaito Furuo","raw_affiliation_strings":["Computer and Information Science, Faculty of Engineering, Mie University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer and Information Science, Faculty of Engineering, Mie University, Japan","institution_ids":["https://openalex.org/I178574317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040874965","display_name":"Kento Morita","orcid":"https://orcid.org/0000-0002-7171-8197"},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kento Morita","raw_affiliation_strings":["Computer and Information Science, Faculty of Engineering, Mie University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer and Information Science, Faculty of Engineering, Mie University, Japan","institution_ids":["https://openalex.org/I178574317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075705962","display_name":"Tomohito Hagi","orcid":"https://orcid.org/0000-0001-8763-1515"},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohito Hagi","raw_affiliation_strings":["Graduate School of Medicine, Mie University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Medicine, Mie University, Japan","institution_ids":["https://openalex.org/I178574317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009180170","display_name":"Tomoki Nakamura","orcid":"https://orcid.org/0000-0002-1099-7436"},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoki Nakamura","raw_affiliation_strings":["Graduate School of Medicine, Mie University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Medicine, Mie University, Japan","institution_ids":["https://openalex.org/I178574317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111490360","display_name":"Tetsushi Wakabayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsushi Wakabayashi","raw_affiliation_strings":["Computer and Information Science, Faculty of Engineering, Mie University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer and Information Science, Faculty of Engineering, Mie University, Japan","institution_ids":["https://openalex.org/I178574317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1469,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77871237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"030","last_page":"033"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9973000288009644,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benignity","display_name":"Benignity","score":0.9242440462112427},{"id":"https://openalex.org/keywords/malignancy","display_name":"Malignancy","score":0.6278001070022583},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48850715160369873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48817163705825806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4774632751941681},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.46282702684402466},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.39735525846481323},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.19138020277023315}],"concepts":[{"id":"https://openalex.org/C2776316164","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Benignity","level":3,"score":0.9242440462112427},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.6278001070022583},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48850715160369873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48817163705825806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4774632751941681},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46282702684402466},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.39735525846481323},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.19138020277023315}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf51991.2021.9464132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf51991.2021.9464132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th IEEE International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W3089516294","https://openalex.org/W3120005762","https://openalex.org/W4239072543","https://openalex.org/W6637373629","https://openalex.org/W6676297131","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W2351026700","https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W2129790334","https://openalex.org/W1809130450","https://openalex.org/W4285208911"],"abstract_inverted_index":{"The":[0],"bone":[1,5,36,66,85],"tumor":[2],"causes":[3],"the":[4,30,52,60,80,132,148],"pain":[6],"and":[7,9,28,32,40,93,140],"swelling,":[8],"is":[10,38,68],"firstly":[11],"diagnosed":[12],"in":[13,17,25,136],"a":[14,23,42,55,75],"local":[15],"hospital":[16],"many":[18],"cases.":[19],"This":[20],"has":[21],"become":[22],"problem":[24],"recent":[26],"years,":[27],"also":[29,130],"benign":[31,61,139],"malignant":[33,63,142],"nature":[34,64],"of":[35,45,54,65,84,107,122,127],"tumors":[37,67,86,143],"difficult":[39],"requires":[41],"great":[43],"deal":[44],"effort":[46],"even":[47],"for":[48,77],"medical":[49],"specialists.":[50],"Therefore,":[51],"development":[53],"system":[56],"to":[57,147],"automatically":[58,78],"estimate":[59],"or":[62,82],"required.":[69],"In":[70],"this":[71],"study,":[72],"we":[73],"propose":[74],"method":[76],"estimating":[79],"benignity":[81],"malignancy":[83],"using":[87,98],"deep":[88],"learning.":[89],"We":[90,129],"fine-tuned":[91],"VGG16":[92,116],"ResNet152":[94,125],"trained":[95],"on":[96,111],"ImageNet":[97],"image":[99],"patches":[100],"extracted":[101],"from":[102],"38":[103],"plain":[104],"X-ray":[105],"images":[106],"3":[108],"patients.":[109],"Results":[110],"patch-level":[112],"classification":[113,134],"showed":[114],"that":[115],"achieved":[117],"higher":[118],"estimation":[119],"accuracy":[120],"(f1-score":[121,126],"0.790)":[123],"than":[124],"0.784).":[128],"performed":[131],"tumor-level":[133],"experiment":[135],"which":[137],"4":[138],"6":[141],"were":[144],"correctly":[145],"classified":[146],"appropriate":[149],"class.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-21T06:12:48.119943","created_date":"2025-10-10T00:00:00"}