{"id":"https://openalex.org/W3131880857","doi":"https://doi.org/10.5220/0010326205200527","title":"Cell Image Segmentation by Feature Random Enhancement Module","display_name":"Cell Image Segmentation by Feature Random Enhancement Module","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3131880857","doi":"https://doi.org/10.5220/0010326205200527","mag":"3131880857"},"language":"en","primary_location":{"id":"doi:10.5220/0010326205200527","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0010326205200527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","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/A5109262152","display_name":"Takamasa Ando","orcid":null},"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":"Takamasa Ando","raw_affiliation_strings":["Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya 468-8502, Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya 468-8502, Japan, --- Select a Country ---","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":["Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya 468-8502, Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya 468-8502, Japan, --- Select a Country ---","institution_ids":["https://openalex.org/I96636082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109262152"],"corresponding_institution_ids":["https://openalex.org/I96636082"],"apc_list":null,"apc_paid":null,"fwci":0.5592,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71859583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"520","last_page":"527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9710999727249146,"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":0.9710999727249146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.616617739200592},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6059793829917908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5775055885314941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5654892325401306},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5134969353675842},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5123997330665588},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46615514159202576},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4636897146701813},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4337928891181946},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.4311678111553192}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.616617739200592},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6059793829917908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5775055885314941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5654892325401306},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5134969353675842},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5123997330665588},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46615514159202576},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4636897146701813},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4337928891181946},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.4311678111553192},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0010326205200527","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0010326205200527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1631910785","https://openalex.org/W1669643531","https://openalex.org/W1507266234","https://openalex.org/W2069711651","https://openalex.org/W2117664411","https://openalex.org/W2117933325","https://openalex.org/W1967061043","https://openalex.org/W2739874619","https://openalex.org/W1700740617","https://openalex.org/W3197341992"],"abstract_inverted_index":{"It":[0],"is":[1,20,42],"important":[2],"to":[3,10,38],"extract":[4],"good":[5],"features":[6,70,78],"using":[7],"an":[8],"encoder":[9],"realize":[11],"semantic":[12],"segmentation":[13,115],"with":[14],"high":[15],"accuracy.":[16],"Although":[17],"loss":[18,34,55,83],"function":[19,35],"optimized":[21],"in":[22,72,121],"training":[23],"deep":[24],"neural":[25],"network,":[26],"far":[27,51,80],"layers":[28,31,52,81,89],"from":[29,53,82],"the":[30,54,62,69,77,92,100,114],"for":[32,44],"computing":[33],"are":[36,49],"difficult":[37],"train.":[39],"Skip":[40],"connection":[41],"effective":[43],"this":[45,58],"problem":[46],"but":[47],"there":[48],"still":[50],"function.":[56],"In":[57,96],"paper,":[59],"we":[60,85,98],"propose":[61],"Feature":[63],"Random":[64],"Enhancement":[65],"Module":[66],"which":[67],"enhances":[68],"randomly":[71],"only":[73],"training.":[74],"By":[75],"emphasizing":[76],"at":[79],"function,":[84],"can":[86],"train":[87],"those":[88],"well":[90],"and":[91,110],"accuracy":[93,116],"was":[94],"improved.":[95],"experiments,":[97],"evaluated":[99],"proposed":[101],"module":[102,112],"on":[103],"two":[104],"kinds":[105],"of":[106],"cell":[107],"image":[108],"datasets,":[109],"our":[111],"improved":[113],"without":[117],"increasing":[118],"computational":[119],"cost":[120],"test":[122],"phase.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
