{"id":"https://openalex.org/W3135716209","doi":"https://doi.org/10.1109/dicta51227.2020.9363395","title":"CNN to Capsule Network Transformation","display_name":"CNN to Capsule Network Transformation","publication_year":2020,"publication_date":"2020-11-29","ids":{"openalex":"https://openalex.org/W3135716209","doi":"https://doi.org/10.1109/dicta51227.2020.9363395","mag":"3135716209"},"language":"en","primary_location":{"id":"doi:10.1109/dicta51227.2020.9363395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","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/A5065111272","display_name":"Takumi Sato","orcid":"https://orcid.org/0000-0002-2253-149X"},"institutions":[{"id":"https://openalex.org/I96636082","display_name":"Meijo University","ror":"https://ror.org/04h42fc75","country_code":"JP","type":"education","lineage":["https://openalex.org/I96636082"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takumi Sato","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Meijo University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Meijo University, Aichi, Japan","institution_ids":["https://openalex.org/I96636082"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103163418","display_name":"Kazuhiro Hotta","orcid":"https://orcid.org/0000-0002-5675-8713"},"institutions":[{"id":"https://openalex.org/I96636082","display_name":"Meijo University","ror":"https://ror.org/04h42fc75","country_code":"JP","type":"education","lineage":["https://openalex.org/I96636082"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Hotta","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Meijo University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Meijo University, Aichi, Japan","institution_ids":["https://openalex.org/I96636082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065111272"],"corresponding_institution_ids":["https://openalex.org/I96636082"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58379823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9987999796867371,"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":0.9987999796867371,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/capsule","display_name":"Capsule","score":0.85597825050354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7503087520599365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5649276971817017},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.532792866230011},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5028685927391052},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4969337284564972},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.48459112644195557},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4279747009277344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3772861361503601},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2457517385482788}],"concepts":[{"id":"https://openalex.org/C2778778583","wikidata":"https://www.wikidata.org/wiki/Q147768","display_name":"Capsule","level":2,"score":0.85597825050354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503087520599365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5649276971817017},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.532792866230011},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5028685927391052},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4969337284564972},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.48459112644195557},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4279747009277344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3772861361503601},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2457517385482788},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta51227.2020.9363395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G246847394","display_name":null,"funder_award_id":"18K111382,20H05427","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2797472209","https://openalex.org/W2811344226","https://openalex.org/W2886134486","https://openalex.org/W2965847928","https://openalex.org/W2989850198","https://openalex.org/W2997927829","https://openalex.org/W6750207810"],"related_works":["https://openalex.org/W1974950787","https://openalex.org/W2358162314","https://openalex.org/W2357652707","https://openalex.org/W2365313273","https://openalex.org/W2263516560","https://openalex.org/W2365750193","https://openalex.org/W2355255155","https://openalex.org/W4365513328","https://openalex.org/W2372963899","https://openalex.org/W2369519607"],"abstract_inverted_index":{"Capsule":[0,19,23,52,77,118],"Network":[1,20,24,119],"has":[2,94],"been":[3],"recently":[4],"proposed":[5,63],"which":[6,30,46,73],"outperforms":[7],"CNN":[8,50,59,70],"in":[9,35],"specific":[10],"tasks.":[11],"Due":[12],"to":[13,51,67,83,87,98,116],"the":[14,62,102],"network":[15,110],"architecture":[16],"differences":[17],"between":[18],"and":[21,60,85],"CNN,":[22],"could":[25],"not":[26],"use":[27],"transfer":[28,43,49],"learning":[29,44],"is":[31],"very":[32],"frequently":[33],"used":[34,61],"CNN.":[36],"In":[37],"this":[38,81],"paper,":[39],"we":[40],"propose":[41],"a":[42,76,89],"method":[45,82,92],"can":[47],"easily":[48],"Network.":[53,78],"We":[54,79,100],"achieved":[55,86],"by":[56],"stacking":[57],"pre-trained":[58],"capsule":[64,90,109],"random":[65],"transformer":[66],"interact":[68],"individual":[69],"each":[71],"other":[72,117],"will":[74],"form":[75],"applied":[80],"U-net":[84],"create":[88],"based":[91,120],"that":[93],"similar":[95],"accuracy":[96,114],"compared":[97,115],"U-net.":[99],"show":[101],"results":[103],"on":[104],"cell":[105],"segmentation":[106,122],"dataset.":[107],"Our":[108],"successfully":[111],"archives":[112],"higher":[113],"semantic":[121],"methods.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}