{"id":"https://openalex.org/W4206633324","doi":"https://doi.org/10.1109/bibm52615.2021.9669432","title":"Automated Nanoparticle Count via Modified BlendMask Instance Segmentation on SEM Images","display_name":"Automated Nanoparticle Count via Modified BlendMask Instance Segmentation on SEM Images","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4206633324","doi":"https://doi.org/10.1109/bibm52615.2021.9669432"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669432","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5077423473","display_name":"Linpeng Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linpeng Lv","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004835821","display_name":"Futong He","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Futong He","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383594","display_name":"Jiahui Zhang","orcid":"https://orcid.org/0000-0002-9059-7546"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Zhang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076306246","display_name":"Liling Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liling Mao","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041135480","display_name":"Jingchuan Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I87780372","display_name":"Chongqing Medical University","ror":"https://ror.org/017z00e58","country_code":"CN","type":"education","lineage":["https://openalex.org/I87780372"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchuan Fan","raw_affiliation_strings":["Institution of Life Sciences, Chongqing Medical University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Institution of Life Sciences, Chongqing Medical University, Chongqing, China","institution_ids":["https://openalex.org/I87780372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047341940","display_name":"Guoqiang Xiao","orcid":"https://orcid.org/0000-0003-2165-476X"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Xiao","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101511002","display_name":"Xiaoqin Tang","orcid":"https://orcid.org/0000-0003-1753-8483"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Tang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.12,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.231092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":67,"max":72},"biblio":{"volume":null,"issue":null,"first_page":"1757","last_page":"1764"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9978,"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":0.9978,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9965,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9713,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7930194},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7883866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.681052},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.66005343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.52984834},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42140627},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4211768},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41230252},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39338207},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669432","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.51,"display_name":"Good health and well-being"}],"grants":[{"funder":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":33,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2317851288","https://openalex.org/W2464708700","https://openalex.org/W2516853195","https://openalex.org/W2565639579","https://openalex.org/W2806070179","https://openalex.org/W2892648298","https://openalex.org/W2903520313","https://openalex.org/W2920326761","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2974104647","https://openalex.org/W2982161360","https://openalex.org/W2982770724","https://openalex.org/W2993182889","https://openalex.org/W2998925538","https://openalex.org/W2999669853","https://openalex.org/W3008249762","https://openalex.org/W3009807180","https://openalex.org/W3010823680","https://openalex.org/W3012167648","https://openalex.org/W3018293717","https://openalex.org/W3034681942","https://openalex.org/W3034826836","https://openalex.org/W3035134467","https://openalex.org/W3111870531","https://openalex.org/W3113635397","https://openalex.org/W3128863815","https://openalex.org/W3131500599","https://openalex.org/W3160333993","https://openalex.org/W639708223"],"related_works":["https://openalex.org/W4388446985","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W3199300986","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W1986655823"],"abstract_inverted_index":{"In":[0,54,108],"the":[1,13,42,45,96,104,116,141,146,168],"high-throughput":[2],"drug":[3,16,52],"research,":[4],"statistical":[5],"analysis":[6,29],"of":[7,12,47,98,118,145,162],"nanoparticles":[8,43],"has":[9],"been":[10],"one":[11],"focuses":[14],"in":[15,36,44,136],"carrier":[17],"systems.":[18],"This":[19],"can":[20],"be":[21],"completed":[22],"via":[23],"electronic":[24],"microscopy":[25],"imaging":[26],"and":[27,40,60,82,101,127,132,143,149],"image":[28,32],"such":[30],"as":[31],"segmentation.":[33],"For":[34],"example,":[35],"some":[37],"cases":[38],"selecting":[39],"counting":[41],"field":[46],"view":[48],"are":[49,112],"important":[50],"for":[51,153,164],"screening.":[53],"order":[55],"to":[56,94,114],"minimize":[57],"manual":[58],"interactions":[59],"avoid":[61],"extensive":[62],"workloads,":[63],"we":[64,111],"present":[65],"a":[66],"pipeline":[67,148],"that":[68],"is":[69],"featured":[70],"by":[71,125],"deep":[72],"learning-based":[73],"instance":[74,87,150],"segmentation,":[75],"with":[76,157],"experiments":[77,139],"implemented":[78],"on":[79,167],"both":[80],"real":[81],"synthetic":[83],"data.":[84],"The":[85],"proposed":[86,147],"segmentation":[88,151],"approach,":[89],"namely":[90],"Modified":[91],"BlendMask,":[92],"aims":[93],"improve":[95],"accuracy":[97,161],"nanoparticle":[99,106,155],"detection":[100],"further":[102],"refine":[103],"automated":[105,154],"count.":[107],"this":[109],"framework,":[110],"devoted":[113],"address":[115],"problem":[117],"missing":[119],"detection,":[120],"i.e.,":[121],"false":[122],"negative,":[123],"introduced":[124],"overlap":[126],"blur,":[128],"sparse":[129],"particle":[130,134],"distribution,":[131],"tiny":[133],"occurrence":[135],"images.":[137,171],"Sufficient":[138],"demonstrate":[140],"reasonableness":[142],"effectiveness":[144],"method":[152],"count,":[156],"an":[158],"overall":[159],"count":[160],"70.2%":[163],"38670":[165],"particles":[166],"1141":[169],"test":[170]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4206633324","counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-01-18T16:10:24.258013","created_date":"2022-01-26"}