{"id":"https://openalex.org/W4212873404","doi":"https://doi.org/10.1080/21681163.2022.2032361","title":"Adaptive Despeckling and Heart Disease Diagnosis by Echocardiogram using Optimized Deep Learning Model","display_name":"Adaptive Despeckling and Heart Disease Diagnosis by Echocardiogram using Optimized Deep Learning Model","publication_year":2022,"publication_date":"2022-02-21","ids":{"openalex":"https://openalex.org/W4212873404","doi":"https://doi.org/10.1080/21681163.2022.2032361"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2022.2032361","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2022.2032361","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/A5074097716","display_name":"Chamundeshwari","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chamundeshwari","raw_affiliation_strings":["Assistant Professor in Department of Computer Science and Engineering, Bheemanna Khandre Institute of Technology Bhalki, India"],"affiliations":[{"raw_affiliation_string":"Assistant Professor in Department of Computer Science and Engineering, Bheemanna Khandre Institute of Technology Bhalki, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016225310","display_name":"Nagashattappa Biradar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nagashattappa Biradar","raw_affiliation_strings":["Professor and Principal in Department of Electronics and Communication and Engineering, Bheemanna Khandre Institute of Technology Bhalki, India"],"affiliations":[{"raw_affiliation_string":"Professor and Principal in Department of Electronics and Communication and Engineering, Bheemanna Khandre Institute of Technology Bhalki, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059930057","display_name":"Udaykumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Udaykumar","raw_affiliation_strings":["Associate Professor in Department of Electronics and Communication Engineering, Bheemanna Khandre Institute of Technology, Bhalki, India"],"affiliations":[{"raw_affiliation_string":"Associate Professor in Department of Electronics and Communication Engineering, Bheemanna Khandre Institute of Technology, Bhalki, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074097716"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9608,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.70160946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"11","issue":"1","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9696000218391418,"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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":0.7204743027687073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7081179618835449},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6774429678916931},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5847839117050171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5724412798881531},{"id":"https://openalex.org/keywords/heart-disease","display_name":"Heart disease","score":0.5489686727523804},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.508255660533905},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5025284290313721},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4663946330547333},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.4433521032333374},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4371989965438843},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.435128778219223},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3987896144390106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3922279477119446},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.3408311605453491},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.1692846119403839},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14659681916236877},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.07522717118263245},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06787580251693726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7204743027687073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7081179618835449},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6774429678916931},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5847839117050171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5724412798881531},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.5489686727523804},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.508255660533905},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5025284290313721},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4663946330547333},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.4433521032333374},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4371989965438843},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.435128778219223},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3987896144390106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3922279477119446},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.3408311605453491},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.1692846119403839},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14659681916236877},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.07522717118263245},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06787580251693726},{"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:10.1080/21681163.2022.2032361","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2022.2032361","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":0.6499999761581421,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1858973333","https://openalex.org/W1993675300","https://openalex.org/W2008625438","https://openalex.org/W2017408678","https://openalex.org/W2020513401","https://openalex.org/W2072343128","https://openalex.org/W2173730923","https://openalex.org/W2320122302","https://openalex.org/W2538594372","https://openalex.org/W2622826443","https://openalex.org/W2727390596","https://openalex.org/W2883058922","https://openalex.org/W2896218032","https://openalex.org/W2898314458","https://openalex.org/W2900725581","https://openalex.org/W2943291991","https://openalex.org/W2978869495","https://openalex.org/W2979616729","https://openalex.org/W2982980439","https://openalex.org/W2985020236","https://openalex.org/W3006038865","https://openalex.org/W3008785957","https://openalex.org/W3011706185","https://openalex.org/W3013066578","https://openalex.org/W3014308466","https://openalex.org/W3014556950","https://openalex.org/W3038010422","https://openalex.org/W3044482460","https://openalex.org/W3046111590","https://openalex.org/W3091985450","https://openalex.org/W3097962067","https://openalex.org/W3118182541","https://openalex.org/W3124784421","https://openalex.org/W3126831744","https://openalex.org/W3166468881"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W2055824452","https://openalex.org/W1989852278"],"abstract_inverted_index":{"Echocardiography":[0],"is":[1,27,66,103,112,120,133,152,164],"a":[2,38,46,68,89],"significant":[3],"diagnostic":[4],"tool":[5],"intended":[6],"to":[7,44,154],"interpret":[8],"and":[9,30,51,97,143],"identify":[10],"different":[11,76],"categories":[12],"of":[13,18,116,177,187],"heart":[14,19,53,61,91,178,192],"diseases.":[15],"The":[16],"classification":[17],"condition":[20],"by":[21,122,166,196],"utilising":[22],"the":[23,60,104,113,117,123,129,155,167,174,181,185,188,198],"CAD":[24,191],"on":[25],"echocardiogram":[26,95,108],"an":[28],"essential":[29],"primary":[31],"step,":[32],"which":[33],"should":[34],"be":[35,73],"performed":[36,121],"in":[37,107],"precise":[39],"manner.":[40],"This":[41,119,148],"process":[42],"aims":[43],"achieve":[45],"strong":[47],"differentiation":[48],"among":[49],"abnormal":[50],"normal":[52],"conditions":[54],"through":[55],"machine":[56],"learning":[57,78],"algorithms.":[58],"As":[59,100],"disease":[62,92,193],"diagnosis":[63,93,175,194],"using":[64,94,135],"echocardiography":[65],"still":[67],"complex":[69],"process,":[70],"it":[71],"can":[72],"adopted":[74,134],"with":[75],"deep":[77],"approaches":[79],"for":[80,172],"identification.":[81],"For":[82],"solving":[83],"these":[84],"issues,":[85],"this":[86],"paper":[87],"develops":[88],"novel":[90],"images":[96],"video":[98],"frames.":[99],"speckle":[101],"noise":[102,110],"main":[105],"problem":[106],"images,":[109],"reduction":[111,126],"initial":[114],"phase":[115],"process.":[118],"adaptive":[124],"speckle-noise":[125],"technique.":[127],"Then,":[128],"hybrid":[130,150],"pattern":[131,142,151],"extraction":[132],"two":[136],"well-performing":[137],"techniques":[138],"termed":[139],"local":[140,144],"binary":[141],"directional":[145],"texture":[146],"pattern.":[147],"extracted":[149],"subjected":[153],"optimised":[156,162],"Convolutional":[157],"Neural":[158],"Network":[159],"(CNN).":[160],"Here,":[161],"CNN":[163],"accomplished":[165],"distance-based":[168],"cat":[169],"swarm":[170],"optimisation":[171],"enhancing":[173],"accuracy":[176],"disease.":[179],"Finally,":[180],"proposed":[182],"work":[183],"shows":[184],"efficiency":[186],"developed":[189],"echocardiogram-based":[190],"system":[195],"conducting":[197],"experiments.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
