{"id":"https://openalex.org/W4221007010","doi":"https://doi.org/10.3390/diagnostics12040862","title":"De-Speckling Breast Cancer Ultrasound Images Using a Rotationally Invariant Block Matching Based Non-Local Means (RIBM-NLM) Method","display_name":"De-Speckling Breast Cancer Ultrasound Images Using a Rotationally Invariant Block Matching Based Non-Local Means (RIBM-NLM) Method","publication_year":2022,"publication_date":"2022-03-30","ids":{"openalex":"https://openalex.org/W4221007010","doi":"https://doi.org/10.3390/diagnostics12040862","pmid":"https://pubmed.ncbi.nlm.nih.gov/35453909","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/9030862"},"language":"en","primary_location":{"id":"doi:10.3390/diagnostics12040862","doi":"https://doi.org/10.3390/diagnostics12040862","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics12040862","pdf_url":"https://www.mdpi.com/2075-4418/12/4/862/pdf?version=1648714790","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2075-4418/12/4/862/pdf?version=1648714790","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005504673","display_name":"Gelan Ayana","orcid":"https://orcid.org/0000-0002-5219-6098","observed_orcids":["https://orcid.org/0000-0002-5219-6098"]},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]},{"id":"https://openalex.org/I1443707","display_name":"Jimma University","ror":"https://ror.org/05eer8g02","country_code":"ET","type":"education","lineage":["https://openalex.org/I1443707"]}],"countries":["ET","KR"],"is_corresponding":false,"raw_author_name":"Gelan Ayana","raw_affiliation_strings":["Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea","School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia"],"raw_orcid":"https://orcid.org/0000-0002-5219-6098","affiliations":[{"raw_affiliation_string":"Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea","institution_ids":["https://openalex.org/I113409471"]},{"raw_affiliation_string":"School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia","institution_ids":["https://openalex.org/I1443707"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003417415","display_name":"Kokeb Dese","orcid":"https://orcid.org/0000-0003-3591-9570","observed_orcids":["https://orcid.org/0000-0003-3591-9570"]},"institutions":[{"id":"https://openalex.org/I1443707","display_name":"Jimma University","ror":"https://ror.org/05eer8g02","country_code":"ET","type":"education","lineage":["https://openalex.org/I1443707"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Kokeb Dese","raw_affiliation_strings":["School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia"],"raw_orcid":"https://orcid.org/0000-0003-3591-9570","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia","institution_ids":["https://openalex.org/I1443707"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087226488","display_name":"Hakkins Raj","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1443707","display_name":"Jimma University","ror":"https://ror.org/05eer8g02","country_code":"ET","type":"education","lineage":["https://openalex.org/I1443707"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Hakkins Raj","raw_affiliation_strings":["School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia","institution_ids":["https://openalex.org/I1443707"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048349214","display_name":"Janarthanan Krishnamoorthy","orcid":"https://orcid.org/0000-0002-9931-8187","observed_orcids":["https://orcid.org/0000-0002-9931-8187"]},"institutions":[{"id":"https://openalex.org/I1443707","display_name":"Jimma University","ror":"https://ror.org/05eer8g02","country_code":"ET","type":"education","lineage":["https://openalex.org/I1443707"]},{"id":"https://openalex.org/I4210145138","display_name":"Singapore Bioimaging Consortium","ror":"https://ror.org/046rtjc87","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I2801752549","https://openalex.org/I4210145138"]}],"countries":["ET","SG"],"is_corresponding":true,"raw_author_name":"Janarthanan Krishnamoorthy","raw_affiliation_strings":["School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia","Singapore Bioimaging Consortium, Astar Research Institutes, Singapore 138667, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-9931-8187","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia","institution_ids":["https://openalex.org/I1443707"]},{"raw_affiliation_string":"Singapore Bioimaging Consortium, Astar Research Institutes, Singapore 138667, Singapore","institution_ids":["https://openalex.org/I4210145138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062752706","display_name":"Timothy Kwa","orcid":"https://orcid.org/0000-0003-4713-026X","observed_orcids":["https://orcid.org/0000-0003-4713-026X"]},"institutions":[{"id":"https://openalex.org/I1443707","display_name":"Jimma University","ror":"https://ror.org/05eer8g02","country_code":"ET","type":"education","lineage":["https://openalex.org/I1443707"]},{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["ET","US"],"is_corresponding":true,"raw_author_name":"Timothy Kwa","raw_affiliation_strings":["Department of Biomedical Engineering, University of California, 451 Health Sciences, Davis, CA 95616, USA","Medtronic MiniMed, 18000 Devonshire St., Northridge, Los Angeles, CA 91325, USA","School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of California, 451 Health Sciences, Davis, CA 95616, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Medtronic MiniMed, 18000 Devonshire St., Northridge, Los Angeles, CA 91325, USA","institution_ids":[]},{"raw_affiliation_string":"School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia","institution_ids":["https://openalex.org/I1443707"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048349214","https://openalex.org/A5062752706"],"corresponding_institution_ids":["https://openalex.org/I1443707","https://openalex.org/I4210145138","https://openalex.org/I84218800"],"apc_list":{"value":1800,"currency":"CHF","value_usd":1885},"apc_paid":{"value":1800,"currency":"CHF","value_usd":1885},"fwci":1.3925,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.8146933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"12","issue":"4","first_page":"862","last_page":"862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9965999722480774,"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":0.9965999722480774,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.001500000013038516,"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/T11019","display_name":"Image Enhancement Techniques","score":0.0010999999940395355,"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/breast-cancer","display_name":"breast cancer","score":0.5080000162124634},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"speckle noise","score":0.8709999918937683},{"id":"https://openalex.org/keywords/non-local-means-filter","display_name":"non-local means","score":0.7870000004768372},{"id":"https://openalex.org/keywords/block-matching","display_name":"block matching","score":0.7879999876022339},{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.7639999985694885},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"breast ultrasound","score":0.4269999861717224}],"concepts":[{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.7066673040390015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6998717784881592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5560547113418579},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.5507937669754028},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5450534820556641},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5293985605239868},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5100484490394592},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4922772943973541},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4875297248363495},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.474099725484848},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.46560198068618774},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4339093267917633},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4283912777900696},{"id":"https://openalex.org/C86190813","wikidata":"https://www.wikidata.org/wiki/Q5165749","display_name":"Contrast-to-noise ratio","level":4,"score":0.41678041219711304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34411752223968506},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.23024162650108337},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.21883821487426758},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15667486190795898},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15454986691474915},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13902175426483154},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.12037870287895203},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09617796540260315},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/diagnostics12040862","doi":"https://doi.org/10.3390/diagnostics12040862","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics12040862","pdf_url":"https://www.mdpi.com/2075-4418/12/4/862/pdf?version=1648714790","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9030862","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9030862","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics (Basel)","raw_type":"Text"},{"id":"pmid:35453909","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35453909","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,"listed_in":[],"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":"Diagnostics (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:566f33e706514b7d975fe4ca79353823","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/566f33e706514b7d975fe4ca79353823","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Diagnostics, Vol 12, Iss 4, p 862 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/diagnostics12040862","doi":"https://doi.org/10.3390/diagnostics12040862","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics12040862","pdf_url":"https://www.mdpi.com/2075-4418/12/4/862/pdf?version=1648714790","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.766700029373169}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4221007010.pdf","grobid_xml":"https://content.openalex.org/works/W4221007010.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W200244089","https://openalex.org/W1510751240","https://openalex.org/W1935188590","https://openalex.org/W1991847244","https://openalex.org/W2004376198","https://openalex.org/W2004928853","https://openalex.org/W2031488994","https://openalex.org/W2032309205","https://openalex.org/W2045944308","https://openalex.org/W2046344557","https://openalex.org/W2056370875","https://openalex.org/W2076400458","https://openalex.org/W2096413230","https://openalex.org/W2104763670","https://openalex.org/W2109991658","https://openalex.org/W2112643157","https://openalex.org/W2117294245","https://openalex.org/W2119612780","https://openalex.org/W2130094715","https://openalex.org/W2137577808","https://openalex.org/W2142592339","https://openalex.org/W2144851790","https://openalex.org/W2159498975","https://openalex.org/W2160637922","https://openalex.org/W2162445884","https://openalex.org/W2328681377","https://openalex.org/W2582469721","https://openalex.org/W2807089335","https://openalex.org/W2808192168","https://openalex.org/W2901019616","https://openalex.org/W2907355811","https://openalex.org/W2945698213","https://openalex.org/W2972158684","https://openalex.org/W2980620524","https://openalex.org/W3047525859","https://openalex.org/W3081205833","https://openalex.org/W3128528820","https://openalex.org/W4205942412"],"related_works":["https://openalex.org/W2582469721","https://openalex.org/W2565593822","https://openalex.org/W2346211146","https://openalex.org/W7118011944","https://openalex.org/W3119996362","https://openalex.org/W2591410308","https://openalex.org/W90416070","https://openalex.org/W4392262395","https://openalex.org/W6889702239","https://openalex.org/W1980160456"],"abstract_inverted_index":{"The":[0,134],"ultrasonic":[1],"technique":[2],"is":[3],"an":[4],"indispensable":[5],"imaging":[6],"modality":[7],"for":[8],"diagnosis":[9],"of":[10,52,60,136,214,217,220,223,228,234,243,260,263,266,269,274,280,289],"breast":[11,120],"cancer":[12],"in":[13,20,73,94],"young":[14],"women":[15],"due":[16],"to":[17,104,189,200,210],"its":[18],"ability":[19],"efficiently":[21],"capturing":[22],"the":[23,36,50,53,57,70,151,156,162,204,237,254,283],"tissue":[24],"properties,":[25],"and":[26,55,84,109,161,174,193,225,251,271,297],"decreasing":[27],"nega-tive":[28],"recognition":[29],"rate":[30],"thereby":[31],"avoiding":[32],"non-essential":[33],"biopsies.":[34],"Despite":[35],"advantages,":[37],"ultrasound":[38,63,95,121],"images":[39,54,170,176],"are":[40],"affected":[41],"by":[42,142],"speckle":[43,66,91],"noise,":[44],"generating":[45],"fine-false":[46],"structures":[47],"that":[48],"decrease":[49],"contrast":[51],"diminish":[56],"actual":[58],"boundaries":[59],"tissues":[61],"on":[62,125,168],"image.":[64],"Moreover,":[65],"noise":[67,232,278],"negatively":[68],"impacts":[69],"subsequent":[71],"stages":[72],"image":[74],"processing":[75,112],"pipeline,":[76],"such":[77],"as":[78],"edge":[79,107],"detec-tion,":[80],"segmentation,":[81],"feature":[82],"extraction,":[83],"classification.":[85],"Previous":[86],"studies":[87],"have":[88],"formulated":[89],"vari-ous":[90],"reduction":[92],"methods":[93,99],"images;":[96],"however,":[97],"these":[98],"suffer":[100],"from":[101,171,177],"being":[102],"unable":[103],"retain":[105],"finer":[106],"details":[108],"require":[110],"more":[111],"time.":[113],"In":[114],"this":[115],"study,":[116],"we":[117,207],"propose":[118],"a":[119],"de-speckling":[122,149],"method":[123,138,256],"based":[124],"rotational":[126],"invariant":[127],"block":[128],"matching":[129],"non-local":[130,157,164],"means":[131,158,165],"(RIBM-NLM)":[132],"filtering.":[133],"effectiveness":[135],"our":[137,144],"has":[139],"been":[140],"demonstrated":[141],"com-paring":[143],"results":[145],"with":[146,241,287],"three":[147],"established":[148],"techniques,":[150],"switching":[152],"bilateral":[153],"filter":[154,159,166],"(SBF),":[155],"(NLMF),":[160],"optimized":[163],"(ONLMF)":[167],"250":[169],"public":[172,238],"dataset":[173],"6":[175],"private":[178,284],"dataset.":[179],"Evaluation":[180],"metrics,":[181],"including":[182],"Self-Similarity":[183],"Index":[184],"Measure":[185],"(SSIM),":[186],"Peak":[187],"Signal":[188],"Noise":[190],"Ratio":[191],"(PSNR),":[192],"Mean":[194],"Square":[195],"Error":[196],"(MSE)":[197],"were":[198,208],"utilized":[199],"measure":[201],"performance.":[202],"With":[203],"proposed":[205,255],"method,":[206],"able":[209],"record":[211],"average":[212],"SSIM":[213,259],"0.8915,":[215],"PSNR":[216,262],"65.97,":[218],"MSE":[219,265],"0.014,":[221],"RMSE":[222,268],"0.119,":[224],"computational":[226,272],"speed":[227,273],"82":[229],"seconds":[230,276],"at":[231,277],"variance":[233,279],"20dB":[235,281],"using":[236,282],"dataset,":[239,285],"all":[240,286],"p-value":[242,288],"less":[244,290],"than":[245,291],"0.001":[246,292],"compared":[247,293],"against":[248,294],"NLMF,":[249,295],"ONLMF,":[250,296],"SBF.":[252,298],"Similarly,":[253],"achieved":[257],"av-erage":[258],"0.83,":[261],"66.26,":[264],"0.015,":[267],"0.124,":[270],"83":[275]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-04-03T00:00:00"}
