{"id":"https://openalex.org/W3090256880","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206791","title":"Convolutional Neural Network for Medical Image Classification using Wavelet Features","display_name":"Convolutional Neural Network for Medical Image Classification using Wavelet Features","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090256880","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206791","mag":"3090256880"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Convolutional_neural_network_for_medical_image_classification_using_wavelet_features/20693914","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069849570","display_name":"Amin Khatami","orcid":"https://orcid.org/0000-0001-9932-933X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Amin Khatami","raw_affiliation_strings":["IISRI Deakin University, Geelong, Australia"],"affiliations":[{"raw_affiliation_string":"IISRI Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004653709","display_name":"Asef Nazari","orcid":"https://orcid.org/0000-0003-4955-9684"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Asef Nazari","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056293251","display_name":"Amin Beheshti","orcid":"https://orcid.org/0000-0002-5988-5494"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amin Beheshti","raw_affiliation_strings":["Department of Computing, Macquarie University, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085593383","display_name":"Thanh Thi Nguyen","orcid":"https://orcid.org/0000-0001-9709-1663"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thanh Thi Nguyen","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015293969","display_name":"Saeid Nahavandi","orcid":"https://orcid.org/0000-0002-0360-5270"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Saeid Nahavandi","raw_affiliation_strings":["IISRI Deakin University, Geelong, Australia"],"affiliations":[{"raw_affiliation_string":"IISRI Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112396354","display_name":"Jerzy Zieba","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jerzy Zieba","raw_affiliation_strings":["School of Medical Sciences, University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Medical Sciences, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069849570"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":2.1648,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9026684,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9990000128746033,"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":0.9941999912261963,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7905740737915039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7891014814376831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7613624334335327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6566012501716614},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6108278036117554},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.580963671207428},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5664361715316772},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.41660240292549133},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4138440191745758},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32615742087364197}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7905740737915039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7891014814376831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7613624334335327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6566012501716614},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6108278036117554},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.580963671207428},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5664361715316772},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.41660240292549133},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4138440191745758},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32615742087364197}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30141025","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20693914","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Convolutional_neural_network_for_medical_image_classification_using_wavelet_features/20693914","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20693914","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Convolutional_neural_network_for_medical_image_classification_using_wavelet_features/20693914","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W5755083","https://openalex.org/W1512098439","https://openalex.org/W1606347560","https://openalex.org/W1964965599","https://openalex.org/W1974609466","https://openalex.org/W2012186231","https://openalex.org/W2020018365","https://openalex.org/W2041239012","https://openalex.org/W2063923412","https://openalex.org/W2072883612","https://openalex.org/W2079708060","https://openalex.org/W2091967951","https://openalex.org/W2095705004","https://openalex.org/W2105967432","https://openalex.org/W2112796928","https://openalex.org/W2115694019","https://openalex.org/W2132984323","https://openalex.org/W2137190664","https://openalex.org/W2140996450","https://openalex.org/W2152175008","https://openalex.org/W2157640836","https://openalex.org/W2163605009","https://openalex.org/W2179571215","https://openalex.org/W2526124504","https://openalex.org/W2563363534","https://openalex.org/W2569318312","https://openalex.org/W2584959338","https://openalex.org/W2603142085","https://openalex.org/W2607941059","https://openalex.org/W2620110959","https://openalex.org/W2620915497","https://openalex.org/W2689604496","https://openalex.org/W2752517284","https://openalex.org/W2766172911","https://openalex.org/W2766238788","https://openalex.org/W2766628660","https://openalex.org/W2786128974","https://openalex.org/W2790858115","https://openalex.org/W2805346144","https://openalex.org/W2883069276","https://openalex.org/W2886674542","https://openalex.org/W2916088937","https://openalex.org/W2916845318","https://openalex.org/W2940773812","https://openalex.org/W2940902102","https://openalex.org/W2987434786","https://openalex.org/W2997306884","https://openalex.org/W3000840221","https://openalex.org/W3002954434","https://openalex.org/W3004887560","https://openalex.org/W3008363225","https://openalex.org/W3025199923","https://openalex.org/W3101294892","https://openalex.org/W4229716235","https://openalex.org/W4247086295","https://openalex.org/W4254575656","https://openalex.org/W4387423606","https://openalex.org/W6600229692","https://openalex.org/W6630527977","https://openalex.org/W6636358008","https://openalex.org/W6674330103","https://openalex.org/W6677380243","https://openalex.org/W6684191040","https://openalex.org/W6748455662","https://openalex.org/W6771830941"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Automatic":[0],"classification":[1,37],"algorithms":[2],"are":[3,13,44,66],"an":[4],"important":[5],"component":[6],"of":[7,18,56,103],"expert":[8],"decision":[9],"support":[10],"systems":[11],"that":[12,82,108],"used":[14],"in":[15,114],"a":[16,30,54,70],"number":[17],"medical":[19,35],"applications":[20],"including":[21],"diagnostic":[22],"radiology":[23],"and":[24,51,94],"disease":[25,117],"detection.":[26],"This":[27],"study":[28],"proposes":[29],"deep":[31],"learning-based":[32],"framework":[33],"for":[34,72,97,116],"image":[36],"using":[38,119],"wavelet":[39],"features.":[40],"Convolutional":[41],"neural":[42],"networks":[43],"incorporated":[45],"to":[46,60,69],"discover":[47],"informative":[48],"latent":[49],"patterns":[50],"features":[52,65],"from":[53],"set":[55],"X-ray":[57,76,99],"images":[58],"pertaining":[59],"human":[61],"body":[62],"parts.":[63],"The":[64,78,101],"then":[67],"passed":[68],"classifier":[71],"labelling":[73],"the":[74,83,90,104],"respective":[75],"images.":[77,100,121],"experimental":[79],"results":[80],"show":[81],"low-pass":[84],"filter":[85],"wavelet-based":[86],"convolutional":[87,92],"model":[88],"outperforms":[89],"original":[91],"network":[93],"some":[95],"models":[96],"classifying":[98],"performance":[102],"proposed":[105],"method":[106],"implies":[107],"it":[109],"can":[110],"be":[111],"implemented":[112],"effectively":[113],"practice":[115],"detection":[118],"radiological":[120]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}