{"id":"https://openalex.org/W4293809629","doi":"https://doi.org/10.1080/21681163.2022.2111715","title":"Malaria parasites detection and identification using object detectors based on deep neural networks: a wide comparative analysis","display_name":"Malaria parasites detection and identification using object detectors based on deep neural networks: a wide comparative analysis","publication_year":2022,"publication_date":"2022-08-18","ids":{"openalex":"https://openalex.org/W4293809629","doi":"https://doi.org/10.1080/21681163.2022.2111715"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2022.2111715","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2022.2111715","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5020962467","display_name":"Maura Rigoldi Sim\u00f5es da Rocha","orcid":"https://orcid.org/0000-0002-5357-2008"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Maura Rocha","raw_affiliation_strings":["Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112460892","display_name":"Ma\u00edla Claro","orcid":null},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ma\u00edla Claro","raw_affiliation_strings":["Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011591106","display_name":"Laurindo de Sousa Britto Neto","orcid":"https://orcid.org/0000-0002-1484-4111"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Laurindo Neto","raw_affiliation_strings":["Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080600223","display_name":"Kelson Aires","orcid":"https://orcid.org/0000-0002-3938-5089"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Kelson Aires","raw_affiliation_strings":["Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052544532","display_name":"Vin\u00edcius Ponte Machado","orcid":"https://orcid.org/0000-0003-3391-8443"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vinicius Machado","raw_affiliation_strings":["Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005236232","display_name":"Rodrigo Veras","orcid":"https://orcid.org/0000-0001-8180-4032"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo Veras","raw_affiliation_strings":["Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil"],"raw_orcid":"https://orcid.org/0000-0001-8180-4032","affiliations":[{"raw_affiliation_string":"Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil","institution_ids":["https://openalex.org/I3121799822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020962467"],"corresponding_institution_ids":["https://openalex.org/I3121799822"],"apc_list":null,"apc_paid":null,"fwci":1.2724,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8079474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"3","first_page":"351","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":1.0,"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":1.0,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/malaria","display_name":"Malaria","score":0.8831313252449036},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7620415687561035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7136228084564209},{"id":"https://openalex.org/keywords/blood-smear","display_name":"Blood smear","score":0.6435747742652893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5687847137451172},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5373868346214294},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5150968432426453},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.48895108699798584},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4831525683403015},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43395501375198364},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43308141827583313},{"id":"https://openalex.org/keywords/anopheles","display_name":"Anopheles","score":0.41849708557128906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3707118630409241},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3344552516937256},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.2417910397052765},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22620120644569397},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20788952708244324},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1987752616405487},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09251156449317932}],"concepts":[{"id":"https://openalex.org/C2778048844","wikidata":"https://www.wikidata.org/wiki/Q12156","display_name":"Malaria","level":2,"score":0.8831313252449036},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7620415687561035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7136228084564209},{"id":"https://openalex.org/C3017819844","wikidata":"https://www.wikidata.org/wiki/Q886475","display_name":"Blood smear","level":3,"score":0.6435747742652893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5687847137451172},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5373868346214294},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5150968432426453},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.48895108699798584},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4831525683403015},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43395501375198364},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43308141827583313},{"id":"https://openalex.org/C2781375639","wikidata":"https://www.wikidata.org/wiki/Q158597","display_name":"Anopheles","level":3,"score":0.41849708557128906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3707118630409241},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3344552516937256},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2417910397052765},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22620120644569397},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20788952708244324},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1987752616405487},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09251156449317932},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/21681163.2022.2111715","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2022.2111715","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2019062120","https://openalex.org/W2034481646","https://openalex.org/W2109255472","https://openalex.org/W2193145675","https://openalex.org/W2559655401","https://openalex.org/W2579555640","https://openalex.org/W2783699776","https://openalex.org/W2793956967","https://openalex.org/W2799742832","https://openalex.org/W2884367402","https://openalex.org/W2898041320","https://openalex.org/W2900954917","https://openalex.org/W2905190038","https://openalex.org/W2910904027","https://openalex.org/W2960571991","https://openalex.org/W2963037989","https://openalex.org/W2963712920","https://openalex.org/W3001352980","https://openalex.org/W3002461978","https://openalex.org/W3011334785","https://openalex.org/W3034971973","https://openalex.org/W3041689807","https://openalex.org/W3042011474","https://openalex.org/W3085201316","https://openalex.org/W3106250896","https://openalex.org/W3106753828","https://openalex.org/W3109770947","https://openalex.org/W3111105523","https://openalex.org/W3115521898","https://openalex.org/W3132342445","https://openalex.org/W3133882559","https://openalex.org/W3133962405","https://openalex.org/W3134636986","https://openalex.org/W3166922817","https://openalex.org/W3180134609","https://openalex.org/W3192770405","https://openalex.org/W3203130383","https://openalex.org/W3213071984","https://openalex.org/W4220920560","https://openalex.org/W4250302639"],"related_works":["https://openalex.org/W4367362025","https://openalex.org/W2115261803","https://openalex.org/W2108574175","https://openalex.org/W2347627655","https://openalex.org/W1477123016","https://openalex.org/W2386208584","https://openalex.org/W2226154164","https://openalex.org/W3182922836","https://openalex.org/W1566335282","https://openalex.org/W1966253867"],"abstract_inverted_index":{"Malaria":[0],"is":[1,36,47],"an":[2],"infectious":[3],"disease":[4],"transmitted":[5],"by":[6,15,71],"the":[7,10,37,72,95,116,130,134,144,148],"bite":[8],"of":[9,81,94,152],"female":[11],"Anopheles":[12],"mosquito,":[13],"infected":[14,70],"Plasmodium":[16,73],"spp.":[17,74],"Early":[18],"diagnosis":[19],"and":[20,22,32,49,67,106,114,129,150,156,168],"prompt":[21],"effective":[23],"treatment":[24],"are":[25,60],"needed":[26],"to":[27,55,65,112,143,154],"avoid":[28],"anaemia,":[29],"organ":[30],"failure,":[31],"death.":[33],"Manual":[34],"microscopy":[35],"primary":[38],"technique":[39],"used":[40,124],"for":[41],"diagnosing":[42],"malaria.":[43],"However,":[44],"this":[45],"exam":[46],"labour-intensive":[48],"requires":[50],"qualified":[51],"personnel.":[52],"In":[53],"order":[54],"alleviate":[56],"these":[57],"difficulties,":[58],"researchers":[59],"using":[61],"computer":[62],"vision":[63],"concepts":[64],"detect":[66,113,155],"classify":[68,115,157],"cells":[69],"This":[75],"paper":[76],"presents":[77],"a":[78],"comparative":[79],"study":[80],"seven":[82],"object":[83],"detectors":[84],"based":[85],"on":[86],"deep":[87],"neural":[88,110],"networks.":[89],"We":[90,123],"evaluated":[91,136],"four":[92,125],"versions":[93],"You":[96],"Only":[97],"Look":[98],"Once":[99],"(YOLO),":[100],"Single":[101],"Shot":[102],"MultiBox":[103],"Detector,":[104],"EfficientDet,":[105],"Faster":[107],"R-CNN":[108],"convolutional":[109],"networks":[111],"malaria":[117,158],"parasite":[118],"in":[119,160],"six":[120],"different":[121],"scenarios.":[122],"public":[126],"image":[127],"datasets,":[128],"YOLOv5":[131,153],"model":[132],"outperformed":[133],"other":[135],"models.":[137],"Their":[138],"results":[139],"had":[140],"similar":[141],"performance":[142],"state-of-the-art":[145],"works":[146],"demonstrating":[147],"feasibility":[149],"effectiveness":[151],"parasites":[159],"thin":[161],"blood":[162],"smear":[163],"images":[164],"with":[165],"high":[166],"precision":[167],"sensitivity.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
