{"id":"https://openalex.org/W2576442780","doi":"https://doi.org/10.1109/bibm.2016.7822567","title":"CNN-based image analysis for malaria diagnosis","display_name":"CNN-based image analysis for malaria diagnosis","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2576442780","doi":"https://doi.org/10.1109/bibm.2016.7822567","mag":"2576442780"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2016.7822567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2016.7822567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5004135809","display_name":"Zhaohui Liang","orcid":"https://orcid.org/0000-0002-9361-5535"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhaohui Liang","raw_affiliation_strings":["York University, Toronto, ON, CA"],"affiliations":[{"raw_affiliation_string":"York University, Toronto, ON, CA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103801961","display_name":"Andrew J. Powell","orcid":null},"institutions":[{"id":"https://openalex.org/I118020396","display_name":"Swarthmore College","ror":"https://ror.org/012dg8a96","country_code":"US","type":"education","lineage":["https://openalex.org/I118020396"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Powell","raw_affiliation_strings":["Swarthmore College, Swarthmore, PA, US"],"affiliations":[{"raw_affiliation_string":"Swarthmore College, Swarthmore, PA, US","institution_ids":["https://openalex.org/I118020396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016739320","display_name":"Ilker Ersoy","orcid":"https://orcid.org/0000-0003-2650-4496"},"institutions":[{"id":"https://openalex.org/I4777552","display_name":"University of Missouri System","ror":"https://ror.org/032va1j59","country_code":"US","type":"education","lineage":["https://openalex.org/I4777552"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ilker Ersoy","raw_affiliation_strings":["University of Missouri System, Columbia, MO, US"],"affiliations":[{"raw_affiliation_string":"University of Missouri System, Columbia, MO, US","institution_ids":["https://openalex.org/I4777552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027593265","display_name":"Mahdieh Poostchi","orcid":null},"institutions":[{"id":"https://openalex.org/I4777552","display_name":"University of Missouri System","ror":"https://ror.org/032va1j59","country_code":"US","type":"education","lineage":["https://openalex.org/I4777552"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahdieh Poostchi","raw_affiliation_strings":["University of Missouri System, Columbia, MO, US"],"affiliations":[{"raw_affiliation_string":"University of Missouri System, Columbia, MO, US","institution_ids":["https://openalex.org/I4777552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110792796","display_name":"Kamolrat Silamut","orcid":null},"institutions":[{"id":"https://openalex.org/I25399158","display_name":"Mahidol University","ror":"https://ror.org/01znkr924","country_code":"TH","type":"education","lineage":["https://openalex.org/I25399158"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kamolrat Silamut","raw_affiliation_strings":["Mahidol University, Nakhon Pathom, TH"],"affiliations":[{"raw_affiliation_string":"Mahidol University, Nakhon Pathom, TH","institution_ids":["https://openalex.org/I25399158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025286899","display_name":"Kannappan Palaniappan","orcid":"https://orcid.org/0000-0003-2663-1380"},"institutions":[{"id":"https://openalex.org/I4777552","display_name":"University of Missouri System","ror":"https://ror.org/032va1j59","country_code":"US","type":"education","lineage":["https://openalex.org/I4777552"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kannappan Palaniappan","raw_affiliation_strings":["University of Missouri System, Columbia, MO, US"],"affiliations":[{"raw_affiliation_string":"University of Missouri System, Columbia, MO, US","institution_ids":["https://openalex.org/I4777552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101595657","display_name":"Peng Guo","orcid":"https://orcid.org/0000-0002-8158-9982"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Guo","raw_affiliation_strings":["Electrical and Computer Engineering Department, Missouri S&T, Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Missouri S&T, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101743367","display_name":"Md. Amir Hossain","orcid":"https://orcid.org/0000-0003-4609-9811"},"institutions":[{"id":"https://openalex.org/I2653708","display_name":"Chittagong Medical College","ror":"https://ror.org/01y8zn427","country_code":"BD","type":"healthcare","lineage":["https://openalex.org/I2653708"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Amir Hossain","raw_affiliation_strings":["Chittagong Medical College Hospital, Chittagong, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Chittagong Medical College Hospital, Chittagong, Bangladesh","institution_ids":["https://openalex.org/I2653708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103777765","display_name":"Antani Sameer","orcid":null},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antani Sameer","raw_affiliation_strings":["National Institutes of Health, Bethesda, MD, US"],"affiliations":[{"raw_affiliation_string":"National Institutes of Health, Bethesda, MD, US","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006115428","display_name":"Richard J. Maude","orcid":"https://orcid.org/0000-0002-5355-0562"},"institutions":[{"id":"https://openalex.org/I25399158","display_name":"Mahidol University","ror":"https://ror.org/01znkr924","country_code":"TH","type":"education","lineage":["https://openalex.org/I25399158"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Richard James Maude","raw_affiliation_strings":["Mahidol University, Nakhon Pathom, TH"],"affiliations":[{"raw_affiliation_string":"Mahidol University, Nakhon Pathom, TH","institution_ids":["https://openalex.org/I25399158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000409439","display_name":"Jimmy Xiangji Huang","orcid":"https://orcid.org/0000-0003-1292-1491"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jimmy Xiangji Huang","raw_affiliation_strings":["York University, Toronto, ON, CA"],"affiliations":[{"raw_affiliation_string":"York University, Toronto, ON, CA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035100758","display_name":"Stefan Jaeger","orcid":"https://orcid.org/0000-0001-6877-4318"},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefan Jaeger","raw_affiliation_strings":["National Institutes of Health, Bethesda, MD, US"],"affiliations":[{"raw_affiliation_string":"National Institutes of Health, Bethesda, MD, US","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103701816","display_name":"George R. Thoma","orcid":null},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Thoma","raw_affiliation_strings":["National Institutes of Health, Bethesda, MD, US"],"affiliations":[{"raw_affiliation_string":"National Institutes of Health, Bethesda, MD, US","institution_ids":["https://openalex.org/I1299303238"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5004135809"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.1225,"has_fulltext":false,"cited_by_count":321,"citation_normalized_percentile":{"value":0.98667523,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"493","last_page":"496"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.987500011920929,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8153890371322632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7585769891738892},{"id":"https://openalex.org/keywords/blood-smear","display_name":"Blood smear","score":0.7391347289085388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7058636546134949},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7031554579734802},{"id":"https://openalex.org/keywords/malaria","display_name":"Malaria","score":0.6524438858032227},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5698042511940002},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5050790905952454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4374867081642151},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4305405914783478},{"id":"https://openalex.org/keywords/microscope","display_name":"Microscope","score":0.41663068532943726},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.26784443855285645},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1715295910835266}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8153890371322632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7585769891738892},{"id":"https://openalex.org/C3017819844","wikidata":"https://www.wikidata.org/wiki/Q886475","display_name":"Blood smear","level":3,"score":0.7391347289085388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7058636546134949},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7031554579734802},{"id":"https://openalex.org/C2778048844","wikidata":"https://www.wikidata.org/wiki/Q12156","display_name":"Malaria","level":2,"score":0.6524438858032227},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5698042511940002},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5050790905952454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4374867081642151},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4305405914783478},{"id":"https://openalex.org/C67649825","wikidata":"https://www.wikidata.org/wiki/Q196538","display_name":"Microscope","level":2,"score":0.41663068532943726},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.26784443855285645},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1715295910835266}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2016.7822567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2016.7822567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W1937619169","https://openalex.org/W1963882359","https://openalex.org/W1980002131","https://openalex.org/W1998399571","https://openalex.org/W2056695679","https://openalex.org/W2059110419","https://openalex.org/W2069414278","https://openalex.org/W2077191558","https://openalex.org/W2095554063","https://openalex.org/W2097117768","https://openalex.org/W2103212315","https://openalex.org/W2112796928","https://openalex.org/W2117671523","https://openalex.org/W2123649031","https://openalex.org/W2156163116","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2481094411","https://openalex.org/W2546302380","https://openalex.org/W2625038518","https://openalex.org/W2673062467","https://openalex.org/W2919115771","https://openalex.org/W2953066166","https://openalex.org/W6639204139","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6764750447"],"related_works":["https://openalex.org/W3182922836","https://openalex.org/W3183901164","https://openalex.org/W2951211570","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W3042926029","https://openalex.org/W1966253867"],"abstract_inverted_index":{"Malaria":[0],"is":[1,13,32,132],"a":[2,81,90,114],"major":[3],"global":[4],"health":[5],"threat.":[6],"The":[7,145],"standard":[8,105],"way":[9],"of":[10,44,126],"diagnosing":[11],"malaria":[12,62],"by":[14,27],"visually":[15],"examining":[16],"blood":[17,22,63,102],"smears":[18,64,103],"for":[19,65],"parasite-infected":[20],"red":[21],"cells":[23,99],"under":[24],"the":[25,35,39,42,45,48,69,123,142,151],"microscope":[26,106],"qualified":[28],"technicians.":[29],"This":[30,78],"method":[31],"inefficient":[33],"and":[34,41,83,178],"diagnosis":[36,66],"depends":[37],"on":[38,55,89,104,118,141],"experience":[40],"knowledge":[43],"person":[46],"doing":[47],"examination.":[49],"Automatic":[50],"image":[51],"recognition":[52],"technologies":[53],"based":[54,88,117],"machine":[56,85],"learning":[57,86,136,153],"have":[58],"been":[59,74],"applied":[60],"to":[61,95],"before.":[67],"However,":[68],"practical":[70],"performance":[71,157],"has":[72],"not":[73],"sufficient":[75],"so":[76],"far.":[77],"study":[79],"proposes":[80],"new":[82,128],"robust":[84],"model":[87,131,137,147,154],"convolutional":[91],"neural":[92],"network":[93],"(CNN)":[94],"automatically":[96],"classify":[97],"single":[98,120],"in":[100,155],"thin":[101],"slides":[107],"as":[108,160],"either":[109],"infected":[110],"or":[111],"uninfected.":[112],"In":[113],"ten-fold":[115],"cross-validation":[116],"27,578":[119],"cell":[121],"images,":[122],"average":[124],"accuracy":[125],"our":[127],"16-layer":[129],"CNN":[130,146],"97.37%.":[133],"A":[134],"transfer":[135,152],"only":[138],"achieves":[139],"91.99%":[140],"same":[143],"images.":[144],"shows":[148],"superiority":[149],"over":[150],"all":[156],"indicators":[158],"such":[159],"sensitivity":[161],"(96.99%":[162],"vs":[163,167,171,176,183],"89.00%),":[164],"specificity":[165],"(97.75%":[166],"94.98%),":[168],"precision":[169],"(97.73%":[170],"95.12%),":[172],"F1":[173],"score":[174],"(97.36%":[175],"90.24%),":[177],"Matthews":[179],"correlation":[180],"coefficient":[181],"(94.75%":[182],"85.25%).":[184]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":38},{"year":2023,"cited_by_count":46},{"year":2022,"cited_by_count":43},{"year":2021,"cited_by_count":57},{"year":2020,"cited_by_count":56},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":8}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}