{"id":"https://openalex.org/W4390481558","doi":"https://doi.org/10.1109/sipaim56729.2023.10373464","title":"Detection of Malaria Parasites in Thick Blood Smear Images using Shallow Neural Networks and Digital Image Processing Techniques","display_name":"Detection of Malaria Parasites in Thick Blood Smear Images using Shallow Neural Networks and Digital Image Processing Techniques","publication_year":2023,"publication_date":"2023-11-15","ids":{"openalex":"https://openalex.org/W4390481558","doi":"https://doi.org/10.1109/sipaim56729.2023.10373464"},"language":"en","primary_location":{"id":"doi:10.1109/sipaim56729.2023.10373464","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sipaim56729.2023.10373464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM)","raw_type":"proceedings-article"},"type":"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/A5113954596","display_name":"M. S. Nascimento","orcid":null},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"M. S. Nascimento","raw_affiliation_strings":["Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil","Center for Research and Development in Electronics and Information Technology, Federal University of Amazonas, Manaus, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil","institution_ids":["https://openalex.org/I62885914"]},{"raw_affiliation_string":"Center for Research and Development in Electronics and Information Technology, Federal University of Amazonas, Manaus, Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057891403","display_name":"M. G. F. Costa","orcid":"https://orcid.org/0000-0002-6839-1402"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M. G. F. Costa","raw_affiliation_strings":["Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil","Center for Research and Development in Electronics and Information Technology, Federal University of Amazonas, Manaus, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil","institution_ids":["https://openalex.org/I62885914"]},{"raw_affiliation_string":"Center for Research and Development in Electronics and Information Technology, Federal University of Amazonas, Manaus, Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004818827","display_name":"C\u00edcero Ferreira Fernandes Costa Filho","orcid":"https://orcid.org/0000-0003-3325-5715"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"C. F.F. Costa Filho","raw_affiliation_strings":["Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil","Center for Research and Development in Electronics and Information Technology, Federal University of Amazonas, Manaus, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil","institution_ids":["https://openalex.org/I62885914"]},{"raw_affiliation_string":"Center for Research and Development in Electronics and Information Technology, Federal University of Amazonas, Manaus, Brazil","institution_ids":["https://openalex.org/I62885914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113954596"],"corresponding_institution_ids":["https://openalex.org/I62885914"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18267739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9646000266075134,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9589999914169312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/parasitemia","display_name":"Parasitemia","score":0.7691307067871094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7271217703819275},{"id":"https://openalex.org/keywords/blood-smear","display_name":"Blood smear","score":0.6991556882858276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.651993453502655},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5994223952293396},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5889521241188049},{"id":"https://openalex.org/keywords/malaria","display_name":"Malaria","score":0.583004891872406},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.48759976029396057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48336857557296753},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4406469464302063},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4374418556690216},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.43409836292266846},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4243919551372528},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4202236235141754},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4164542853832245},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26925355195999146},{"id":"https://openalex.org/keywords/plasmodium-falciparum","display_name":"Plasmodium falciparum","score":0.1685207188129425},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.14993178844451904},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1336977183818817}],"concepts":[{"id":"https://openalex.org/C2775867548","wikidata":"https://www.wikidata.org/wiki/Q1897162","display_name":"Parasitemia","level":4,"score":0.7691307067871094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7271217703819275},{"id":"https://openalex.org/C3017819844","wikidata":"https://www.wikidata.org/wiki/Q886475","display_name":"Blood smear","level":3,"score":0.6991556882858276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.651993453502655},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5994223952293396},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5889521241188049},{"id":"https://openalex.org/C2778048844","wikidata":"https://www.wikidata.org/wiki/Q12156","display_name":"Malaria","level":2,"score":0.583004891872406},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.48759976029396057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48336857557296753},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4406469464302063},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4374418556690216},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.43409836292266846},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4243919551372528},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4202236235141754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4164542853832245},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26925355195999146},{"id":"https://openalex.org/C2778371730","wikidata":"https://www.wikidata.org/wiki/Q311383","display_name":"Plasmodium falciparum","level":3,"score":0.1685207188129425},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.14993178844451904},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1336977183818817},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sipaim56729.2023.10373464","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sipaim56729.2023.10373464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2030141163","https://openalex.org/W2601667293","https://openalex.org/W2757928176","https://openalex.org/W2792662404","https://openalex.org/W2975565280","https://openalex.org/W3107199886","https://openalex.org/W3133962405","https://openalex.org/W4214719881","https://openalex.org/W6638473186"],"related_works":["https://openalex.org/W2412502579","https://openalex.org/W2017943026","https://openalex.org/W2079756317","https://openalex.org/W3107285743","https://openalex.org/W2944216256","https://openalex.org/W2183529209","https://openalex.org/W2150760525","https://openalex.org/W2416085386","https://openalex.org/W2892057769","https://openalex.org/W3032179253"],"abstract_inverted_index":{"In":[0],"routine":[1],"malaria":[2,14,38,111],"microscopic":[3,17],"diagnosis,":[4],"the":[5,23,45,76,152],"thick":[6],"blood":[7,30],"film":[8],"exam":[9],"is":[10,19,144],"performed":[11],"to":[12,79,104],"detect":[13],"parasites.":[15],"The":[16,32,136],"diagnosis":[18],"based":[20,116],"on":[21,81,117],"counting":[22,42,113],"number":[24],"of":[25,47,94,142],"parasites":[26],"(parasitemia)":[27],"in":[28,44,88,92,151],"stained":[29],"slide.":[31],"most":[33],"recent":[34],"work":[35,102],"published":[36,150],"for":[37,64,110],"parasite":[39,112],"detection":[40],"and":[41,70,107,114,127],"points":[43],"direction":[46],"using":[48],"complex":[49],"neural":[50,119],"network":[51],"architectures,":[52],"such":[53,67],"as":[54,68,121],"Efficient":[55],"NET":[56],"or":[57,61],"ROENet":[58],"convolutional":[59],"networks,":[60,120],"specialized":[62],"networks":[63],"object":[65],"detection,":[66,115],"YOLO":[69],"Faster-":[71],"RCNN.":[72],"Such":[73],"models":[74,85,109],"make":[75],"methods":[77],"difficult":[78],"use":[80],"mobile":[82,89],"devices.":[83],"Simple":[84],"could":[86],"run":[87],"devices,":[90],"mainly":[91],"regions":[93],"low-and-middle-income":[95],"country,":[96],"with":[97,131],"poor":[98],"internet":[99],"access":[100],"This":[101],"aims":[103],"present":[105],"simple":[106],"fast":[108],"shallow":[118],"one":[122],"layer":[123],"perceptron,":[124,129],"logistic":[125],"regressor":[126],"multilayer":[128],"associated":[130],"digital":[132],"image":[133],"processing":[134],"technique.":[135],"best":[137],"results":[138,148],"obtained,":[139],"an":[140],"F1-score":[141],"97.57%,":[143],"better":[145],"than":[146],"other":[147],"previously":[149],"literature.":[153]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
