{"id":"https://openalex.org/W3131177324","doi":"https://doi.org/10.1186/s12859-021-04014-w","title":"Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images","display_name":"Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images","publication_year":2021,"publication_date":"2021-02-26","ids":{"openalex":"https://openalex.org/W3131177324","doi":"https://doi.org/10.1186/s12859-021-04014-w","mag":"3131177324","pmid":"https://pubmed.ncbi.nlm.nih.gov/33637042"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-021-04014-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04014-w","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-021-04014-w","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-021-04014-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070575756","display_name":"Titinunt Kitrungrotsakul","orcid":"https://orcid.org/0000-0001-7254-1787"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"Titinunt Kitrungrotsakul","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010434486","display_name":"Yutaro Iwamoto","orcid":"https://orcid.org/0000-0001-6723-8652"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaro Iwamoto","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046226656","display_name":"Satoko Takemoto","orcid":"https://orcid.org/0000-0003-0258-6589"},"institutions":[{"id":"https://openalex.org/I4210165842","display_name":"RIKEN Center for Advanced Photonics","ror":"https://ror.org/05vmjks78","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210165842"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoko Takemoto","raw_affiliation_strings":["Center for Advanced Photonics, RIKEN, Wako, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Photonics, RIKEN, Wako, Saitama, Japan","institution_ids":["https://openalex.org/I4210165842"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014175129","display_name":"Hideo Yokota","orcid":"https://orcid.org/0000-0003-1395-309X"},"institutions":[{"id":"https://openalex.org/I4210165842","display_name":"RIKEN Center for Advanced Photonics","ror":"https://ror.org/05vmjks78","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210165842"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideo Yokota","raw_affiliation_strings":["Center for Advanced Photonics, RIKEN, Wako, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Photonics, RIKEN, Wako, Saitama, Japan","institution_ids":["https://openalex.org/I4210165842"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046998490","display_name":"Sari Ipponjima","orcid":"https://orcid.org/0000-0003-0142-3710"},"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":"Sari Ipponjima","raw_affiliation_strings":["Research Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055208450","display_name":"Tomomi Nemoto","orcid":"https://orcid.org/0000-0001-6102-1495"},"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":"Tomomi Nemoto","raw_affiliation_strings":["Research Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090814258","display_name":"Lanfen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanfen Lin","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057181928","display_name":"Ruofeng Tong","orcid":"https://orcid.org/0000-0002-8167-5354"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruofeng Tong","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023138112","display_name":"Jingsong Li","orcid":"https://orcid.org/0000-0002-1064-637X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsong Li","raw_affiliation_strings":["College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China","Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yen-Wei Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China. chen@is.ritsumei.ac.jp","Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan. chen@is.ritsumei.ac.jp","Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China. chen@is.ritsumei.ac.jp","College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China. chen@is.ritsumei.ac.jp","institution_ids":[]},{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan. chen@is.ritsumei.ac.jp","institution_ids":[]},{"raw_affiliation_string":"Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China. chen@is.ritsumei.ac.jp","institution_ids":[]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5070575756"],"corresponding_institution_ids":["https://openalex.org/I135768898","https://openalex.org/I4210123185"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.7459,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8099667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"22","issue":"1","first_page":"91","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.3222000002861023,"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":0.3222000002861023,"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/T10862","display_name":"AI in cancer detection","score":0.17299999296665192,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.11339999735355377,"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/computer-science","display_name":"Computer science","score":0.7329710721969604},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6888139843940735},{"id":"https://openalex.org/keywords/mitosis","display_name":"Mitosis","score":0.6690601706504822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6591707468032837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6387214660644531},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.582310140132904},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5363619923591614},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.469154953956604},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4512089192867279},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42984676361083984},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42181697487831116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35738158226013184},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.16640916466712952},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14694255590438843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09954068064689636},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09171617031097412},{"id":"https://openalex.org/keywords/cell-biology","display_name":"Cell biology","score":0.080534428358078}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7329710721969604},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6888139843940735},{"id":"https://openalex.org/C93304396","wikidata":"https://www.wikidata.org/wiki/Q14763008","display_name":"Mitosis","level":2,"score":0.6690601706504822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6591707468032837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6387214660644531},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.582310140132904},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5363619923591614},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.469154953956604},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4512089192867279},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42984676361083984},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42181697487831116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35738158226013184},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.16640916466712952},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14694255590438843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09954068064689636},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09171617031097412},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.080534428358078},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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":[{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-021-04014-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04014-w","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-021-04014-w","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:33637042","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33637042","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:1c744fc609b748349284d1ee15c7d165","is_oa":true,"landing_page_url":"https://doaj.org/article/1c744fc609b748349284d1ee15c7d165","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7908657","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7908657","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-021-04014-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04014-w","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-021-04014-w","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1863704883","display_name":null,"funder_award_id":"2020M671826","funder_id":"https://openalex.org/F4320335443","funder_display_name":"Postdoctoral Research Foundation of China"},{"id":"https://openalex.org/G446161779","display_name":null,"funder_award_id":"2020M671826","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5222845047","display_name":null,"funder_award_id":"20H05428","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"}],"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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335443","display_name":"Postdoctoral Research Foundation of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3131177324.pdf","grobid_xml":"https://content.openalex.org/works/W3131177324.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W267005183","https://openalex.org/W1485009520","https://openalex.org/W1536680647","https://openalex.org/W1596717185","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1983088967","https://openalex.org/W1984693616","https://openalex.org/W2003067279","https://openalex.org/W2010871781","https://openalex.org/W2013144064","https://openalex.org/W2031547948","https://openalex.org/W2053416720","https://openalex.org/W2085791497","https://openalex.org/W2109187183","https://openalex.org/W2117018248","https://openalex.org/W2128060444","https://openalex.org/W2148743296","https://openalex.org/W2169160999","https://openalex.org/W2193145675","https://openalex.org/W2307770531","https://openalex.org/W2526958461","https://openalex.org/W2565639579","https://openalex.org/W2751195109","https://openalex.org/W2769833683","https://openalex.org/W2806070179","https://openalex.org/W2886335102","https://openalex.org/W2947611729","https://openalex.org/W2963037989","https://openalex.org/W2963323244","https://openalex.org/W2963446712","https://openalex.org/W2963927307","https://openalex.org/W2966018467","https://openalex.org/W3106250896","https://openalex.org/W4200268060","https://openalex.org/W4241315755","https://openalex.org/W6600129504"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W1969563520","https://openalex.org/W2007937751","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2050894103","https://openalex.org/W2122811501","https://openalex.org/W2811106690","https://openalex.org/W4242462355","https://openalex.org/W2969228573"],"abstract_inverted_index":{"BACKGROUND:":[0],"To":[1],"effectively":[2],"detect":[3],"and":[4,70,90,99,175,180,192],"investigate":[5],"various":[6],"cell-related":[7,28],"diseases,":[8],"it":[9],"is":[10,22,96,108],"essential":[11],"to":[12,18,38,45,57],"understand":[13],"cell":[14,47],"behaviour.":[15],"The":[16,102],"ability":[17],"detection":[19,40,107,114,190],"mitotic":[20,46,66,78,94,113,141],"cells":[21,64,79],"a":[23,125,145,163],"fundamental":[24],"step":[25],"in":[26,73,81,115,188],"diagnosing":[27],"diseases.":[29],"Convolutional":[30],"neural":[31],"networks":[32],"(CNNs)":[33],"have":[34],"been":[35],"successfully":[36],"applied":[37,44],"object":[39],"tasks,":[41],"however,":[42],"when":[43],"detection,":[48],"most":[49],"existing":[50],"methods":[51],"generate":[52],"high":[53],"false-positive":[54],"rates":[55],"due":[56],"the":[58,88,171],"complex":[59],"characteristics":[60],"that":[61,148,161],"differentiate":[62],"normal":[63],"from":[65,93,154,158,183],"cells.":[67],"Cell":[68],"size":[69],"orientation":[71],"variations":[72],"each":[74],"stage":[75],"make":[76],"detecting":[77],"difficult":[80],"2D":[82,156],"approaches.":[83],"Therefore,":[84],"effective":[85],"extraction":[86,128],"of":[87,199],"spatial":[89,151,179],"temporal":[91,181],"features":[92,182],"data":[95],"an":[97],"important":[98],"challenging":[100],"task.":[101],"computational":[103],"time":[104,195],"required":[105],"for":[106,112,139],"another":[109],"major":[110],"concern":[111],"4D":[116,184],"microscopic":[117,185],"images.":[118],"RESULTS:":[119],"In":[120],"this":[121],"paper,":[122],"we":[123],"propose":[124],"backbone":[126],"feature":[127],"network":[129],"named":[130],"full":[131],"scale":[132,172],"connected":[133],"recurrent":[134],"deep":[135],"layer":[136],"aggregation":[137],"(RDLA++)":[138],"anchor-free":[140],"detection.":[142],"We":[143],"utilize":[144],"2.5D":[146],"method":[147],"includes":[149],"3D":[150],"information":[152],"extracted":[153],"several":[155],"images":[157],"neighbouring":[159],"slices":[160],"form":[162],"multi-stream":[164],"input.":[165],"CONCLUSIONS:":[166],"Our":[167],"proposed":[168],"technique":[169],"addresses":[170],"variation":[173],"problem":[174],"can":[176],"efficiently":[177],"extract":[178],"images,":[186],"resulting":[187],"improved":[189],"accuracy":[191],"reduced":[193],"computation":[194],"compared":[196],"with":[197],"those":[198],"other":[200],"state-of-the-art":[201],"methods.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
