{"id":"https://openalex.org/W3178709797","doi":"https://doi.org/10.1007/s00371-021-02221-3","title":"Cell image segmentation by using feedback and convolutional LSTM","display_name":"Cell image segmentation by using feedback and convolutional LSTM","publication_year":2021,"publication_date":"2021-07-04","ids":{"openalex":"https://openalex.org/W3178709797","doi":"https://doi.org/10.1007/s00371-021-02221-3","mag":"3178709797"},"language":"en","primary_location":{"id":"doi:10.1007/s00371-021-02221-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00371-021-02221-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00371-021-02221-3.pdf","source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00371-021-02221-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040300487","display_name":"Eisuke Shibuya","orcid":"https://orcid.org/0000-0002-8541-4602"},"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":"Eisuke Shibuya","raw_affiliation_strings":["Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, 468-8502, Nagoya, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8541-4602","affiliations":[{"raw_affiliation_string":"Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, 468-8502, Nagoya, 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":["Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, 468-8502, Nagoya, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5675-8713","affiliations":[{"raw_affiliation_string":"Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, 468-8502, Nagoya, Japan","institution_ids":["https://openalex.org/I96636082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040300487"],"corresponding_institution_ids":["https://openalex.org/I96636082"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":2.7608,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90554557,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"38","issue":"11","first_page":"3791","last_page":"3801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9993000030517578,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.8638414740562439},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7510710954666138},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7292189598083496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.633508563041687},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6266433000564575},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5615651607513428},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5439299941062927},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4855772852897644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4508506953716278},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4480507969856262},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41075006127357483},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34174835681915283},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.0643819272518158}],"concepts":[{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.8638414740562439},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7510710954666138},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7292189598083496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.633508563041687},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6266433000564575},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5615651607513428},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5439299941062927},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4855772852897644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4508506953716278},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4480507969856262},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41075006127357483},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34174835681915283},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0643819272518158},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00371-021-02221-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00371-021-02221-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00371-021-02221-3.pdf","source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00371-021-02221-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00371-021-02221-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00371-021-02221-3.pdf","source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1295266948","display_name":"Advancement of Deep Learning by Information Leakage","funder_award_id":"21K11971","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8504346101","display_name":"Research on Image Recognition by Adaptive Integration of Deep Neural Networks","funder_award_id":"18K11382","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3178709797.pdf","grobid_xml":"https://content.openalex.org/works/W3178709797.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1485009520","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1981276685","https://openalex.org/W2064675550","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2112796928","https://openalex.org/W2136848157","https://openalex.org/W2194775991","https://openalex.org/W2470394683","https://openalex.org/W2560023338","https://openalex.org/W2618530766","https://openalex.org/W2623166637","https://openalex.org/W2752782242","https://openalex.org/W2780708736","https://openalex.org/W2799058067","https://openalex.org/W2811344226","https://openalex.org/W2884436604","https://openalex.org/W2904902199","https://openalex.org/W2905338897","https://openalex.org/W2962793481","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2978255468","https://openalex.org/W3030810865","https://openalex.org/W3033603530","https://openalex.org/W3045188463","https://openalex.org/W6604048828"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W3116150086","https://openalex.org/W4386132124","https://openalex.org/W2999805992","https://openalex.org/W2790662084","https://openalex.org/W2258992572"],"abstract_inverted_index":{"Abstract":[0],"Human":[1],"brain":[2],"is":[3,34,72,91,109],"known":[4],"to":[5,19,29,69,112],"have":[6],"a":[7,35,92],"layered":[8],"structure":[9],"and":[10,43,62,98,115,151],"perform":[11],"not":[12,73],"only":[13,59,163],"feedforward":[14,60,164],"process":[15,25,61,65],"from":[16,26,66],"lower":[17,30,70],"layer":[18,28,68,71],"upper":[20,27,67],"layer,":[21],"but":[22],"also":[23],"feedback":[24,64,99],"layer.":[31],"Neural":[32],"network":[33,52],"mathematical":[36],"model":[37,90,94,157],"of":[38,41,103,146],"the":[39,54,106,113,119,123,130,137,141,147],"function":[40],"neurons,":[42],"several":[44],"models":[45],"are":[46,132],"proposed":[47],"until":[48],"now.":[49],"Although":[50],"neural":[51],"imitates":[53],"human":[55],"brain,":[56],"everyone":[57],"uses":[58,162],"direct":[63],"used":[74],"in":[75,79],"prediction":[76],"process.":[77,100,165],"Therefore,":[78],"this":[80],"paper,":[81],"we":[82],"propose":[83],"Feedback":[84],"U-Net":[85,104,160],"using":[86,95,127],"convolutional":[87,96,128],"LSTM.":[88],"Our":[89],"segmentation":[93,120],"LSTM":[97],"The":[101],"output":[102],"at":[105,122,140],"first":[107,142],"round":[108],"fed":[110],"back":[111],"input,":[114],"our":[116,156],"method":[117],"re-considers":[118],"result":[121],"second":[124],"round.":[125,143],"By":[126],"LSTM,":[129],"features":[131,138],"extracted":[133,139],"well":[134],"based":[135],"on":[136],"On":[144],"both":[145],"Drosophila":[148],"cell":[149,153],"image":[150,154],"Mouse":[152],"datasets,":[155],"outperformed":[158],"conventional":[159],"which":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}