{"id":"https://openalex.org/W4281848214","doi":"https://doi.org/10.32604/iasc.2023.028423","title":"Qualitative Abnormalities of Peripheral Blood Smear Images Using Deep Learning Techniques","display_name":"Qualitative Abnormalities of Peripheral Blood Smear Images Using Deep Learning Techniques","publication_year":2022,"publication_date":"2022-06-06","ids":{"openalex":"https://openalex.org/W4281848214","doi":"https://doi.org/10.32604/iasc.2023.028423"},"language":"en","primary_location":{"id":"doi:10.32604/iasc.2023.028423","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.028423","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-1/TSP_IASC_28423/TSP_IASC_28423.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-1/TSP_IASC_28423/TSP_IASC_28423.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083836196","display_name":"G. Arutperumjothi","orcid":null},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"G. Arutperumjothi","raw_affiliation_strings":["Anna University, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Anna University, Tamil Nadu, India","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007608401","display_name":"K. Suganya Devi","orcid":null},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Suganya Devi","raw_affiliation_strings":["Department of CSE, National Institute of Technology, SilcharCachar, Assam, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, National Institute of Technology, SilcharCachar, Assam, India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006082013","display_name":"C Sheeja Herobin Rani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Rani","raw_affiliation_strings":["Department of CSE, Government College of Engineering, Salem, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Government College of Engineering, Salem, Tamilnadu, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061574306","display_name":"P. Srinivasan","orcid":null},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Srinivasan","raw_affiliation_strings":["Department of Physics, National Institute of Technology, SilcharCachar, Assam, India"],"affiliations":[{"raw_affiliation_string":"Department of Physics, National Institute of Technology, SilcharCachar, Assam, India","institution_ids":["https://openalex.org/I151903974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083836196"],"corresponding_institution_ids":["https://openalex.org/I33585257"],"apc_list":null,"apc_paid":null,"fwci":0.4026,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58172907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"35","issue":"1","first_page":"1069","last_page":"1086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9998999834060669,"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":0.9998999834060669,"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/T10862","display_name":"AI in cancer detection","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9803000092506409,"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/computer-science","display_name":"Computer science","score":0.8260000348091125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6878155469894409},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6033191680908203},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5436349511146545},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5033740401268005},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4422960877418518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260000348091125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6878155469894409},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6033191680908203},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5436349511146545},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5033740401268005},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4422960877418518}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/iasc.2023.028423","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.028423","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-1/TSP_IASC_28423/TSP_IASC_28423.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/iasc.2023.028423","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.028423","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-1/TSP_IASC_28423/TSP_IASC_28423.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281848214.pdf","grobid_xml":"https://content.openalex.org/works/W4281848214.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1593119700","https://openalex.org/W1998168156","https://openalex.org/W2033062769","https://openalex.org/W2072272226","https://openalex.org/W2117851878","https://openalex.org/W2204709380","https://openalex.org/W2344654247","https://openalex.org/W2618746601","https://openalex.org/W2763691931","https://openalex.org/W2767426931","https://openalex.org/W2801148351","https://openalex.org/W2891686988","https://openalex.org/W2917675508","https://openalex.org/W2962282516","https://openalex.org/W2967040146","https://openalex.org/W2982428510","https://openalex.org/W2984155152","https://openalex.org/W2990876880","https://openalex.org/W2995143895","https://openalex.org/W3108528836","https://openalex.org/W3203668668","https://openalex.org/W3209499093","https://openalex.org/W4200275621","https://openalex.org/W4235701106","https://openalex.org/W6635532976","https://openalex.org/W6644030728","https://openalex.org/W6730257819","https://openalex.org/W6746015729","https://openalex.org/W6803286138"],"related_works":["https://openalex.org/W4225852842","https://openalex.org/W4200528772","https://openalex.org/W2767651786","https://openalex.org/W2563096758","https://openalex.org/W2912288872","https://openalex.org/W2936488316","https://openalex.org/W564581980","https://openalex.org/W4386053843","https://openalex.org/W3158004940","https://openalex.org/W4306753247"],"abstract_inverted_index":{"In":[0,77,165],"recent":[1],"years,":[2],"Peripheral":[3,19],"blood":[4,20,49,102],"smear":[5,21,50],"is":[6,27,92,158,175],"a":[7],"generic":[8],"analysis":[9,51],"to":[10,29,40,45,79,144,160,167,215,238],"assess":[11],"the":[12,47,53,68,75,95,139,150,169,179,210,217,224,232,236,246,260],"person\u2019s":[13],"health":[14],"status.":[15],"Manual":[16],"testing":[17],"of":[18,55,71,97,100,181,202,209,219,249],"images":[22,212],"are":[23,64,142,213,227,251],"difficult,":[24],"time-consuming":[25],"and":[26,32,43,57,115,125,136,172,231,253],"subject":[28],"human":[30],"intervention":[31],"visual":[33],"error.":[34],"This":[35],"method":[36,191],"encouraged":[37],"for":[38],"researchers":[39],"present":[41,73,148],"algorithms":[42],"techniques":[44],"perform":[46],"peripheral":[48,101],"with":[52,94,178,192],"help":[54,180],"computer-assisted":[56],"decision-making":[58],"techniques.":[59],"Existing":[60],"CAD":[61],"based":[62,88,195],"methods":[63],"lacks":[65],"in":[66,74,149,259],"attaining":[67],"accurate":[69],"detection":[70,221],"abnormalities":[72,257],"images.":[76],"order":[78,166],"mitigate":[80],"this":[81,245],"issue":[82],"Deep":[83],"Convolution":[84],"Neural":[85],"Network":[86],"(DCNN)":[87],"automatic":[89],"classification":[90,96],"technique":[91],"introduced":[93],"eight":[98],"groups":[99],"cells":[103],"such":[104,131],"as":[105,132],"basophil,":[106],"eosinophil,":[107],"lymphocyte,":[108],"monocyte,":[109],"neutrophil,":[110],"erythroblast,":[111],"platelet,":[112],"myocyte,":[113],"promyocyte":[114],"metamyocyte.":[116],"The":[117],"proposed":[118,220,233],"DCNN":[119,230],"model":[120,185],"employs":[121],"transfer":[122],"learning":[123],"approach":[124,174],"additionally":[126],"it":[127],"carries":[128],"three":[129],"stages":[130],"pre-processing,":[133],"feature":[134],"extraction":[135],"classification.":[137],"Initially":[138],"pre-processing":[140],"steps":[141],"incorporated":[143],"eliminate":[145],"noisy":[146],"contents":[147],"image":[151,163],"by":[152,229],"using":[153],"Histogram":[154],"Equalization":[155],"(HE).":[156],"It":[157],"enclosed":[159],"improve":[161],"an":[162],"contrast.":[164],"distinguish":[168],"dissimilar":[170],"class":[171],"segmentation":[173],"carried":[176],"out":[177],"Fuzzy":[182],"C-Means":[183],"(FCM)":[184],"whereas":[186],"its":[187],"centroid":[188],"point":[189],"optimality":[190],"Slap":[193],"Swarm":[194],"optimization":[196],"strategy.":[197],"Moreover":[198],"some":[199],"specific":[200],"set":[201,248],"Gray":[203],"Level":[204],"Co-occurrence":[205],"Matrix":[206],"(GLCM)":[207],"features":[208,226],"segmented":[211],"extracted":[214,225],"augment":[216],"performance":[218],"algorithm.":[222],"Finally":[223],"recorded":[228],"classifier":[234],"has":[235],"capability":[237],"extract":[239],"their":[240],"own":[241],"features.":[242],"Based":[243],"on":[244],"diverse":[247],"classes":[250],"classified":[252],"distinguished":[254],"from":[255],"qualitative":[256],"found":[258],"image.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}