{"id":"https://openalex.org/W2310719266","doi":"https://doi.org/10.1109/kst.2016.7440501","title":"Automated detection of plasmodium falciparum from Giemsa-stained thin blood films","display_name":"Automated detection of plasmodium falciparum from Giemsa-stained thin blood films","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2310719266","doi":"https://doi.org/10.1109/kst.2016.7440501","mag":"2310719266"},"language":"en","primary_location":{"id":"doi:10.1109/kst.2016.7440501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst.2016.7440501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","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/A5035893073","display_name":"Wongsakorn Preedanan","orcid":"https://orcid.org/0000-0003-4988-3943"},"institutions":[{"id":"https://openalex.org/I76920116","display_name":"Srinakharinwirot University","ror":"https://ror.org/04718hx42","country_code":"TH","type":"education","lineage":["https://openalex.org/I76920116"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Wongsakorn Preedanan","raw_affiliation_strings":["Biomedical Engineering Program, Srinakharinwirot University, Ongkharak, Nakhon Nayok, Thailand"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Program, Srinakharinwirot University, Ongkharak, Nakhon Nayok, Thailand","institution_ids":["https://openalex.org/I76920116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009377972","display_name":"Montri Phothisonothai","orcid":"https://orcid.org/0000-0002-0985-3582"},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Montri Phothisonothai","raw_affiliation_strings":["International College, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"International College, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070428224","display_name":"Wongwit Senavongse","orcid":"https://orcid.org/0000-0001-9561-7772"},"institutions":[{"id":"https://openalex.org/I76920116","display_name":"Srinakharinwirot University","ror":"https://ror.org/04718hx42","country_code":"TH","type":"education","lineage":["https://openalex.org/I76920116"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Wongwit Senavongse","raw_affiliation_strings":["Biomedical Engineering Program, Srinakharinwirot University, Ongkharak, Nakhon Nayok, Thailand"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Program, Srinakharinwirot University, Ongkharak, Nakhon Nayok, Thailand","institution_ids":["https://openalex.org/I76920116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071846860","display_name":"Suchada Tantisatirapong","orcid":null},"institutions":[{"id":"https://openalex.org/I76920116","display_name":"Srinakharinwirot University","ror":"https://ror.org/04718hx42","country_code":"TH","type":"education","lineage":["https://openalex.org/I76920116"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Suchada Tantisatirapong","raw_affiliation_strings":["Biomedical Engineering Program, Srinakharinwirot University, Ongkharak, Nakhon Nayok, Thailand"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Program, Srinakharinwirot University, Ongkharak, Nakhon Nayok, Thailand","institution_ids":["https://openalex.org/I76920116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035893073"],"corresponding_institution_ids":["https://openalex.org/I76920116"],"apc_list":null,"apc_paid":null,"fwci":1.336,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8630406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"215","last_page":"218"},"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/T10166","display_name":"Mosquito-borne diseases and control","score":0.9423999786376953,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T12047","display_name":"Viral Infections and Vectors","score":0.9225000143051147,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/giemsa-stain","display_name":"Giemsa stain","score":0.7173849940299988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6912303566932678},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6840292811393738},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6497935056686401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6067301034927368},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.575322151184082},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5751283168792725},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44483959674835205},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.432227224111557},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3359190821647644},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1670098900794983},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10671940445899963},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07134562730789185}],"concepts":[{"id":"https://openalex.org/C154488023","wikidata":"https://www.wikidata.org/wiki/Q1412684","display_name":"Giemsa stain","level":2,"score":0.7173849940299988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6912303566932678},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6840292811393738},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6497935056686401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6067301034927368},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.575322151184082},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5751283168792725},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44483959674835205},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.432227224111557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3359190821647644},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1670098900794983},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10671940445899963},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07134562730789185}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst.2016.7440501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst.2016.7440501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307856","display_name":"World Health Organization","ror":"https://ror.org/01f80g185"},{"id":"https://openalex.org/F4320326787","display_name":"National Center for Genetic Engineering and Biotechnology","ror":"https://ror.org/047aswc67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W118535833","https://openalex.org/W2008056655","https://openalex.org/W2014188930","https://openalex.org/W2044562217","https://openalex.org/W2060340965","https://openalex.org/W2069414278","https://openalex.org/W2107912405","https://openalex.org/W2167279371"],"related_works":["https://openalex.org/W2138983844","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2111883783","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2356903262","https://openalex.org/W4237142086","https://openalex.org/W2327601824"],"abstract_inverted_index":{"This":[0,62],"paper":[1],"investigates":[2],"automated":[3],"detection":[4],"of":[5,10,52,71],"malaria":[6],"parasites":[7],"in":[8],"images":[9,70],"Giemsa-stained":[11,72],"thin":[12,73],"blood":[13,74],"films.":[14],"We":[15],"aim":[16],"to":[17],"determine":[18],"parasitemia":[19],"based":[20,56],"on":[21,31,57,67],"automatic":[22],"segmentation,":[23],"feature":[24],"extraction":[25],"and":[26,34,45,76,82],"classification":[27,53],"methods.":[28,36],"Segmentation":[29],"relies":[30],"adaptive":[32],"thresholding":[33],"watershed":[35],"Statistical":[37],"features":[38],"are":[39],"then":[40],"computed":[41],"for":[42],"each":[43],"cell":[44],"classified":[46],"using":[47],"SVM":[48],"binary":[49],"classifier.":[50],"Accuracy":[51],"is":[54,65],"validated":[55],"the":[58],"leave-one-out":[59],"cross-validation":[60],"technique.":[61],"processing":[63],"pipeline":[64],"applied":[66],"total":[68],"15":[69],"films":[75],"yields":[77],"92.71%":[78],"sensitivity,":[79],"97.35%":[80],"specificity":[81],"97.17%":[83],"accuracy.":[84]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
