{"id":"https://openalex.org/W3213550559","doi":"https://doi.org/10.1186/s12859-021-04003-z","title":"A deep learning method for counting white blood cells in bone marrow images","display_name":"A deep learning method for counting white blood cells in bone marrow images","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W3213550559","doi":"https://doi.org/10.1186/s12859-021-04003-z","mag":"3213550559","pmid":"https://pubmed.ncbi.nlm.nih.gov/34749635"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-021-04003-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04003-z","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-021-04003-z","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/track/pdf/10.1186/s12859-021-04003-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100359331","display_name":"Da Wang","orcid":"https://orcid.org/0000-0002-4746-9127"},"institutions":[{"id":"https://openalex.org/I4210158318","display_name":"Second Affiliated Hospital of Zhejiang University","ror":"https://ror.org/059cjpv64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Wang","raw_affiliation_strings":["Department of Colorectal Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Colorectal Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China","institution_ids":["https://openalex.org/I4210158318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066851929","display_name":"Maxwell Hwang","orcid":"https://orcid.org/0000-0002-9505-6263"},"institutions":[{"id":"https://openalex.org/I4210158318","display_name":"Second Affiliated Hospital of Zhejiang University","ror":"https://ror.org/059cjpv64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maxwell Hwang","raw_affiliation_strings":["Department of Colorectal Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Colorectal Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China","institution_ids":["https://openalex.org/I4210158318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001081733","display_name":"Wei\u2010Cheng Jiang","orcid":"https://orcid.org/0000-0003-4432-8801"},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Cheng Jiang","raw_affiliation_strings":["Department of Electrical Engineering, Tunghai University, Taichung, Taiwan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tunghai University, Taichung, Taiwan, China","institution_ids":["https://openalex.org/I169090423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081262769","display_name":"Kefeng Ding","orcid":"https://orcid.org/0000-0002-2380-3717"},"institutions":[{"id":"https://openalex.org/I4210158318","display_name":"Second Affiliated Hospital of Zhejiang University","ror":"https://ror.org/059cjpv64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158318"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kefeng Ding","raw_affiliation_strings":["Department of Colorectal Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China. dingkefeng@zju.edu.cn","Department of Colorectal Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Colorectal Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China. dingkefeng@zju.edu.cn","institution_ids":["https://openalex.org/I4210158318"]},{"raw_affiliation_string":"Department of Colorectal Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China","institution_ids":["https://openalex.org/I4210158318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079871202","display_name":"Hsiao Chien Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiao Chien Chang","raw_affiliation_strings":["Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan, China","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061189209","display_name":"Kao\u2010Shing Hwang","orcid":"https://orcid.org/0000-0001-9234-4836"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kao-Shing Hwang","raw_affiliation_strings":["Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan, China","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081262769"],"corresponding_institution_ids":["https://openalex.org/I4210158318"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":2.7169,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.92002064,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"S5","first_page":"94","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","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"}},"topics":[{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","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/T10862","display_name":"AI in cancer detection","score":0.0005000000237487257,"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":0.00039999998989515007,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/white-blood-cell","display_name":"White blood cell","score":0.6807824373245239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6592485904693604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6344351768493652},{"id":"https://openalex.org/keywords/bone-marrow","display_name":"Bone marrow","score":0.623292863368988},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5860639214515686},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5476348996162415},{"id":"https://openalex.org/keywords/cell-counting","display_name":"Cell counting","score":0.5446311235427856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5378410816192627},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5185873508453369},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42944222688674927},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39499926567077637},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.34130439162254333},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2916524410247803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15409645438194275},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.14402499794960022},{"id":"https://openalex.org/keywords/immunology","display_name":"Immunology","score":0.11739128828048706},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09280738234519958}],"concepts":[{"id":"https://openalex.org/C2778488018","wikidata":"https://www.wikidata.org/wiki/Q42395","display_name":"White blood cell","level":2,"score":0.6807824373245239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6592485904693604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6344351768493652},{"id":"https://openalex.org/C2780007613","wikidata":"https://www.wikidata.org/wiki/Q546523","display_name":"Bone marrow","level":2,"score":0.623292863368988},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5860639214515686},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5476348996162415},{"id":"https://openalex.org/C2583947","wikidata":"https://www.wikidata.org/wiki/Q5058179","display_name":"Cell counting","level":4,"score":0.5446311235427856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5378410816192627},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5185873508453369},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42944222688674927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39499926567077637},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.34130439162254333},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2916524410247803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15409645438194275},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.14402499794960022},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.11739128828048706},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09280738234519958},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C29537977","wikidata":"https://www.wikidata.org/wiki/Q188941","display_name":"Cell cycle","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001853","descriptor_name":"Bone Marrow","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001853","descriptor_name":"Bone Marrow","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001853","descriptor_name":"Bone Marrow","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007938","descriptor_name":"Leukemia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007938","descriptor_name":"Leukemia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007938","descriptor_name":"Leukemia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007962","descriptor_name":"Leukocytes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007962","descriptor_name":"Leukocytes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007962","descriptor_name":"Leukocytes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12859-021-04003-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04003-z","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-021-04003-z","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:34749635","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34749635","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:de6a87efa12f47cbb4c7d1d6e335f8ff","is_oa":true,"landing_page_url":"https://doaj.org/article/de6a87efa12f47cbb4c7d1d6e335f8ff","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 S5, Pp 1-14 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:7470672","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8576964","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8576964","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8576964","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/s12859-021-04003-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04003-z","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-021-04003-z","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":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1333859906","display_name":null,"funder_award_id":"LQ17H160008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3574417855","display_name":null,"funder_award_id":"LQ17H160008","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3213550559.pdf","grobid_xml":"https://content.openalex.org/works/W3213550559.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1514535095","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2147527908","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2585890928","https://openalex.org/W2769848455","https://openalex.org/W2786052267","https://openalex.org/W2787420051","https://openalex.org/W2793788053","https://openalex.org/W2963037989","https://openalex.org/W2963075078","https://openalex.org/W2963150697","https://openalex.org/W2964043069","https://openalex.org/W2981630388","https://openalex.org/W3101577715","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W2611989081","https://openalex.org/W2765338038","https://openalex.org/W2097035005","https://openalex.org/W1496225612","https://openalex.org/W2354314470","https://openalex.org/W4230611425","https://openalex.org/W2050150408"],"abstract_inverted_index":{"BACKGROUND:":[0],"Differentiating":[1],"and":[2,21,34,43,46,53,82,97,117],"counting":[3,35,47],"various":[4,94],"types":[5],"of":[6,18,25,28,39,55,105,110,125,136,145],"white":[7,128,138],"blood":[8,129,139],"cells":[9,67],"(WBC)":[10],"in":[11,68],"bone":[12,70],"marrow":[13,71],"smears":[14],"allows":[15,176],"the":[16,36,51,123,126,164,180],"detection":[17],"infection,":[19],"anemia,":[20],"leukemia":[22],"or":[23],"analysis":[24],"a":[26,61,79,83,89,134,143],"process":[27],"treatment.":[29],"However,":[30],"manually":[31],"locating,":[32],"identifying,":[33],"different":[37],"classes":[38],"WBC":[40],"is":[41,113,167],"time-consuming":[42],"fatiguing.":[44],"Classification":[45],"accuracy":[48],"depends":[49],"on":[50],"capability":[52],"experience":[54],"operators.":[56],"RESULTS:":[57],"This":[58],"paper":[59],"uses":[60,78],"deep":[62],"learning":[63],"method":[64,77],"to":[65,87,115,169,178],"count":[66],"color":[69,100],"microscopic":[72],"images":[73,141],"automatically.":[74],"The":[75,103,106,120,149,159],"proposed":[76,127,165],"Faster":[80],"RCNN":[81],"Feature":[84],"Pyramid":[85],"Network":[86],"construct":[88],"system":[90,132,166,181],"that":[91,163],"deals":[92],"with":[93,142],"illumination":[95],"levels":[96],"accounts":[98],"for":[99],"components'":[101],"stability.":[102],"dataset":[104],"Second":[107],"Affiliated":[108],"Hospital":[109],"Zhejiang":[111],"University":[112],"used":[114],"train":[116],"test.":[118],"CONCLUSIONS:":[119],"experiments":[121],"test":[122],"effectiveness":[124],"cell":[130,140],"classification":[131],"using":[133],"total":[135],"609":[137],"resolution":[144],"2560":[146],"\u00d7":[147],"1920.":[148],"highest":[150],"overall":[151],"correct":[152],"recognition":[153],"rate":[154],"could":[155],"reach":[156],"98.8%":[157],"accuracy.":[158],"experimental":[160],"results":[161],"show":[162],"comparable":[168],"some":[170],"state-of-art":[171],"systems.":[172],"A":[173],"user":[174],"interface":[175],"pathologists":[177],"operate":[179],"easily.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-27T08:28:00.272161","created_date":"2025-10-10T00:00:00"}
