{"id":"https://openalex.org/W4406265858","doi":"https://doi.org/10.1109/gcce62371.2024.10760886","title":"Lung Cancer Classification Using Masked Autoencoder Pretrained on J-MID Database","display_name":"Lung Cancer Classification Using Masked Autoencoder Pretrained on J-MID Database","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4406265858","doi":"https://doi.org/10.1109/gcce62371.2024.10760886"},"language":"en","primary_location":{"id":"doi:10.1109/gcce62371.2024.10760886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce62371.2024.10760886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)","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/A5115829704","display_name":"Ren Tasai","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ren Tasai","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406322","display_name":"Guang Li","orcid":"https://orcid.org/0000-0003-2898-2504"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Guang Li","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002757875","display_name":"Ren Togo","orcid":"https://orcid.org/0000-0002-4474-3995"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ren Togo","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101876130","display_name":"Minghui Tang","orcid":"https://orcid.org/0000-0003-3310-2962"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minghui Tang","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038294668","display_name":"Takaaki Yoshimura","orcid":"https://orcid.org/0000-0002-6663-4335"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takaaki Yoshimura","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005534816","display_name":"Hiroyuki Sugimori","orcid":"https://orcid.org/0000-0002-7796-5113"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Sugimori","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065419096","display_name":"Kenji Hirata","orcid":"https://orcid.org/0000-0003-0036-8975"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Hirata","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Ogawa","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035360381","display_name":"Kohsuke Kudo","orcid":"https://orcid.org/0000-0001-5351-9242"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kohsuke Kudo","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"Miki Haseyama","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miki Haseyama","raw_affiliation_strings":["Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33607166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"456","last_page":"457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.454800009727478,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.454800009727478,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"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":0.40560001134872437,"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/autoencoder","display_name":"Autoencoder","score":0.9084702134132385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6635246276855469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.559816300868988},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.35981085896492004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34704703092575073},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32160916924476624},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.11682161688804626}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9084702134132385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635246276855469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.559816300868988},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.35981085896492004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34704703092575073},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32160916924476624},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.11682161688804626}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce62371.2024.10760886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce62371.2024.10760886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"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":0,"referenced_works":[],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4220775285","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Annotation":[0],"for":[1,33],"lung":[2],"cancer":[3],"classification":[4],"using":[5],"chest":[6],"CT":[7],"images":[8],"typically":[9],"requires":[10],"specialized":[11],"knowledge":[12],"and":[13,16,35],"is":[14,64],"time-consuming":[15],"costly.":[17],"Additionally,":[18],"it":[19],"has":[20],"been":[21],"reported":[22],"that":[23,76],"in":[24,65],"self-supervised":[25,49],"learning,":[26],"accuracy":[27],"improves":[28],"when":[29],"the":[30,40,59,66,70],"datasets":[31],"used":[32],"pretraining":[34],"downstream":[36,71],"tasks":[37],"belong":[38],"to":[39],"same":[41,67],"domain.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"propose":[47],"a":[48,54,88],"learning":[50],"method":[51],"based":[52],"on":[53,58,83],"Masked":[55],"Autoencoder":[56],"pretrained":[57,82],"high-quality":[60],"J-MID":[61],"database,":[62],"which":[63,85],"domain":[68],"as":[69],"task.":[72],"Experimental":[73],"results":[74],"show":[75],"our":[77],"approach":[78],"outperformed":[79],"previous":[80],"methods":[81],"ImageNet,":[84],"consists":[86],"of":[87,91],"large":[89],"number":[90],"natural":[92],"images.":[93]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
