{"id":"https://openalex.org/W4388821361","doi":"https://doi.org/10.1109/apsipaasc58517.2023.10317257","title":"Detection model of sister chromatid cohesion defects based on Vision Transformer","display_name":"Detection model of sister chromatid cohesion defects based on Vision Transformer","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388821361","doi":"https://doi.org/10.1109/apsipaasc58517.2023.10317257"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc58517.2023.10317257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc58517.2023.10317257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010982285","display_name":"Shinya Matsumoto","orcid":"https://orcid.org/0000-0001-5719-9709"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinya Matsumoto","raw_affiliation_strings":["Tokyo Metropolitan University,Department of Systems Design,Japan","Department of Systems Design, Tokyo Metropolitan University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University,Department of Systems Design,Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Department of Systems Design, Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039273761","display_name":"Kan Okubo","orcid":"https://orcid.org/0000-0002-2924-7811"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kan Okubo","raw_affiliation_strings":["Tokyo Metropolitan University,Department of Systems Design,Japan","Department of Systems Design, Tokyo Metropolitan University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University,Department of Systems Design,Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Department of Systems Design, Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074203320","display_name":"Takuya Abe","orcid":"https://orcid.org/0000-0001-5298-082X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Abe","raw_affiliation_strings":["Tokyo Metropolitan University,Department of Science,Japan","Department of Science, Tokyo Metropolitan University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University,Department of Science,Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Department of Science, Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103076466","display_name":"Kiyoshi Nishikawa","orcid":"https://orcid.org/0009-0006-3851-8472"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoshi Nishikawa","raw_affiliation_strings":["Tokyo Metropolitan University,Department of Systems Design,Japan","Department of Systems Design, Tokyo Metropolitan University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University,Department of Systems Design,Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Department of Systems Design, Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}},"topics":[{"id":"https://openalex.org/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}},{"id":"https://openalex.org/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/sister-chromatids","display_name":"Sister chromatids","score":0.7230205535888672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7171216011047363},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5653252005577087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.54074627161026},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3550204932689667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3236656188964844},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10845741629600525},{"id":"https://openalex.org/keywords/chromosome","display_name":"Chromosome","score":0.10215315222740173}],"concepts":[{"id":"https://openalex.org/C8502773","wikidata":"https://www.wikidata.org/wiki/Q2066168","display_name":"Sister chromatids","level":4,"score":0.7230205535888672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7171216011047363},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5653252005577087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.54074627161026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3550204932689667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3236656188964844},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10845741629600525},{"id":"https://openalex.org/C30481170","wikidata":"https://www.wikidata.org/wiki/Q37748","display_name":"Chromosome","level":3,"score":0.10215315222740173},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc58517.2023.10317257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc58517.2023.10317257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2119799188","https://openalex.org/W2128885131","https://openalex.org/W2771816243","https://openalex.org/W2783028951","https://openalex.org/W2883780447","https://openalex.org/W3014716126","https://openalex.org/W4319311765","https://openalex.org/W4385245566","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"To":[0],"evaluate":[1],"the":[2,14,23,39,49,70,79,84,96],"function":[3],"of":[4,10,51,86],"cohesin":[5],"and":[6],"its":[7],"regulators,":[8],"classifications":[9],"chromosomes":[11],"based":[12],"on":[13,83],"positional":[15],"relationship":[16],"between":[17],"sister":[18],"chromatids":[19],"are":[20],"used.":[21],"Although":[22],"analysis":[24],"has":[25],"been":[26],"done":[27],"manually":[28],"by":[29],"researchers,":[30],"we":[31,56],"recently":[32],"developed":[33],"CNN-based":[34],"classification":[35,101],"models":[36],"to":[37,47,65],"automate":[38],"analysis.":[40],"Our":[41],"purpose":[42],"in":[43,69,89],"this":[44,54],"study":[45],"is":[46,63],"improve":[48],"accuracy":[50,102],"classification.":[52],"For":[53],"purpose,":[55],"applied":[57],"Vision":[58],"Transformer":[59],"(ViT)":[60],"since":[61],"ViT":[62],"expected":[64],"achieve":[66],"better":[67],"performance":[68,80],"vision":[71],"processing":[72],"system":[73],"than":[74,103],"CNN.":[75,104],"We":[76],"show":[77],"that":[78],"varies":[81],"depending":[82],"set":[85],"layers":[87],"used":[88],"fine":[90,94],"tuning.":[91],"After":[92],"proper":[93],"tuning,":[95],"ViT-based":[97],"model":[98],"achieves":[99],"higher":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}