{"id":"https://openalex.org/W4389537797","doi":"https://doi.org/10.1109/embc40787.2023.10340822","title":"Implementing Natural Image Quality Evaluator for Performance Indicator on Noise Artefacts Recovery in CT Scan","display_name":"Implementing Natural Image Quality Evaluator for Performance Indicator on Noise Artefacts Recovery in CT Scan","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4389537797","doi":"https://doi.org/10.1109/embc40787.2023.10340822","pmid":"https://pubmed.ncbi.nlm.nih.gov/38082883"},"language":"en","primary_location":{"id":"doi:10.1109/embc40787.2023.10340822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc40787.2023.10340822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101869693","display_name":"Rudy Gunawan","orcid":"https://orcid.org/0000-0002-0446-3614"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rudy Gunawan","raw_affiliation_strings":["Computing and Engineering Technologies,School of Science,Hawthorn,VIC,Australia,3122"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing and Engineering Technologies,School of Science,Hawthorn,VIC,Australia,3122","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040544025","display_name":"Yvonne Tran","orcid":"https://orcid.org/0000-0002-1741-4205"},"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":"Yvonne Tran","raw_affiliation_strings":["Macquarie University,Australian Institute of Health Innovation,Macquarie Park,NSW,2109"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University,Australian Institute of Health Innovation,Macquarie Park,NSW,2109","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045517884","display_name":"Jinchuan Zheng","orcid":"https://orcid.org/0000-0002-0550-9223"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinchuan Zheng","raw_affiliation_strings":["Computing and Engineering Technologies,School of Science,Hawthorn,VIC,Australia,3122"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing and Engineering Technologies,School of Science,Hawthorn,VIC,Australia,3122","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716476","display_name":"Hung T. Nguyen","orcid":"https://orcid.org/0000-0003-3373-8178"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hung Nguyen","raw_affiliation_strings":["Computing and Engineering Technologies,School of Science,Hawthorn,VIC,Australia,3122"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing and Engineering Technologies,School of Science,Hawthorn,VIC,Australia,3122","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018877662","display_name":"Rifai Chai","orcid":"https://orcid.org/0000-0002-1922-7024"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rifai Chai","raw_affiliation_strings":["Computing and Engineering Technologies,School of Science,Hawthorn,VIC,Australia,3122"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing and Engineering Technologies,School of Science,Hawthorn,VIC,Australia,3122","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2246,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53549883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"2023","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9962000250816345,"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/T10862","display_name":"AI in cancer detection","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7338021993637085},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6962272524833679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6826053261756897},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6765708327293396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6476032137870789},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.6166989207267761},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5390235185623169},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5326865315437317},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5114225745201111},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.48312923312187195},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45818817615509033},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4502142071723938},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.4408484101295471},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.41048210859298706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27282339334487915},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2166561484336853},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05178290605545044}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7338021993637085},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6962272524833679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6826053261756897},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6765708327293396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6476032137870789},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.6166989207267761},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5390235185623169},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5326865315437317},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5114225745201111},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.48312923312187195},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45818817615509033},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4502142071723938},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.4408484101295471},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.41048210859298706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27282339334487915},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2166561484336853},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05178290605545044}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc40787.2023.10340822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc40787.2023.10340822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:38082883","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38082883","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2083927153","https://openalex.org/W2102166818","https://openalex.org/W2133665775","https://openalex.org/W2147853263","https://openalex.org/W2976809040","https://openalex.org/W3003415550","https://openalex.org/W4296350334"],"related_works":["https://openalex.org/W4385545089","https://openalex.org/W3108403339","https://openalex.org/W4401572286","https://openalex.org/W2162712524","https://openalex.org/W4401575680","https://openalex.org/W2066798134","https://openalex.org/W4287867034","https://openalex.org/W2175872006","https://openalex.org/W3005783148","https://openalex.org/W3021143552"],"abstract_inverted_index":{"The":[0,46],"two":[1,104],"most":[2],"common":[3],"evaluators":[4,127],"for":[5],"CT":[6],"scan":[7],"denoising":[8,41,93],"are":[9],"Peak":[10],"Signal":[11],"to":[12,36,96],"Noise":[13],"Ratio":[14],"(PSNR)":[15],"and":[16,56,108,129],"Structural":[17],"Similarity":[18],"Index":[19],"(SSIM).":[20],"This":[21],"paper":[22],"offers":[23],"an":[24,113],"alternative":[25],"evaluator":[26],"by":[27],"utilizing":[28],"of":[29,40,69,80,92,99],"Natural":[30],"Image":[31],"Quality":[32],"Evaluator":[33],"(NIQE)":[34],"assessment":[35],"determine":[37,88],"the":[38,52,64,70,77,89,97,103,118,122,125],"performance":[39],"work":[42],"on":[43,76],"noise":[44,47,60],"artefact.":[45],"artefact":[48],"was":[49],"obtained":[50],"during":[51],"cancer":[53],"screening":[54],"process":[55],"had":[57],"a":[58,84],"particular":[59],"density":[61],"pattern":[62],"across":[63],"image.":[65,94],"NIQE":[66],"is":[67],"one":[68],"blind":[71],"image":[72,81],"assessments":[73],"which":[74],"rely":[75],"measurable":[78],"deviation":[79],"patch":[82,106],"as":[83],"reference;":[85],"it":[86],"can":[87],"improved":[90],"quality":[91],"Due":[95],"method":[98],"comparison":[100],"in":[101,116],"NIQE,":[102],"parameters:":[105],"size":[107],"sharpness":[109],"threshold,":[110],"will":[111],"play":[112],"essential":[114],"part":[115],"getting":[117],"score":[119],"compared":[120],"with":[121],"result":[123],"from":[124],"other":[126],"(PSNR":[128],"SSIM).":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
