Scale-based filtering of medical images","display_name":"Scale-based filtering of medical images","publication_year":2000,"publication_date":"2000-06-06","ids":{"openalex":"https://openalex.org/W1999869503","doi":"https://doi.org/10.1117/12.387736","mag":"1999869503"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.387736","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"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/A5033203259","display_name":"Punam K. Saha","orcid":"https://orcid.org/0000-0003-1576-118X"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I29957033","https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Punam K. Saha","raw_affiliation_string":" University of Pennsylvania, United States.","raw_affiliation_strings":[" University of Pennsylvania, United States."]},{"author_position":"last","author":{"id":"https://openalex.org/A5065713856","display_name":"Jayaram K. Udupa","orcid":"https://orcid.org/0000-0002-7361-2927"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I29957033","https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayaram K. Udupa","raw_affiliation_string":" University of Pennsylvania, United States.","raw_affiliation_strings":[" University of Pennsylvania, United States."]}],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":4,"cited_by_percentile_year":{"min":75,"max":77},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Image Segmentation Techniques","score":0.9995,"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/T10052","display_name":"Image Segmentation Techniques","score":0.9995,"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":"Deep Learning in Medical Image Analysis","score":0.9971,"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/T10688","display_name":"Image Denoising Techniques and Algorithms","score":0.9965,"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":[{"keyword":"filtering","score":0.4483},{"keyword":"images","score":0.4426},{"keyword":"scale-based","score":0.25}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.68045425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6637594},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6213266},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.59090877},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5897138},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5573795},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.47421384},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44903374},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4165783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39284718},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35182327},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.387736","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.76,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1532530241","https://openalex.org/W2026001471","https://openalex.org/W2050731694","https://openalex.org/W2112328181","https://openalex.org/W2113622874","https://openalex.org/W2117156647","https://openalex.org/W2125421681","https://openalex.org/W2137676365","https://openalex.org/W2150134853","https://openalex.org/W2163424852","https://openalex.org/W3022464773"],"related_works":["https://openalex.org/W2349843447","https://openalex.org/W2011005857","https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1989941125","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W2149980199","https://openalex.org/W2125114371","https://openalex.org/W2019977573"],"ngrams_url":"https://api.openalex.org/works/W1999869503/ngrams","abstract_inverted_index":{"Image":[0],"acquisition":[1,17,25],"techniques":[2,18],"often":[3,50],"suffer":[4],"from":[5],"low":[6],"signal-to-":[7],"noise":[8],"ratio":[9,13],"(SNR)":[10],"and/or":[11],"contrast-to-noise":[12],"(CNR).":[14],"Although":[15],"many":[16],"are":[19],"available":[20],"to":[21,36,76,107],"minimize":[22],"these,":[23],"post":[24],"filtering":[26,46,65,117,149],"is":[27,47],"a":[28,93,97,166],"major":[29,43],"off-line":[30],"image":[31,120],"processing":[32],"technique":[33],"commonly":[34],"used":[35],"improve":[37],"the":[38,101,114,141,145,177,180],"SNR":[39],"and":[40,82,133,155,173],"CNR.":[41],"A":[42],"drawback":[44],"of":[45,89,116,157,168,170,179],"that":[48,67],"it":[49],"diffuses/blurs":[51],"important":[52],"structures":[53,81],"along":[54],"with":[55],"noise.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60],"introduce":[61],"two":[62],"novel":[63],"scale-based":[64,142,182],"methods":[66,91,111,143],"use":[68],"local":[69,124],"structure":[70],"size":[71],"or":[72],"'object":[73],"scale'":[74],"information":[75],"arrest":[77],"smoothing":[78],"around":[79],"fine":[80,153],"across":[83],"even":[84],"low-gradient":[85],"boundaries.":[86,159],"The":[87],"first":[88],"these":[90],"uses":[92],"weighted":[94],"average":[95],"over":[96,144],"scale-dependent":[98,104],"neighborhood":[99],"while":[100],"other":[102],"employs":[103],"diffusion":[105],"conductance":[106],"perform":[108],"filtering.":[109],"Both":[110],"adaptively":[112],"modify":[113],"degree":[115],"at":[118],"any":[119],"location":[121],"depending":[122],"on":[123,130,162],"object":[125,158],"scale.":[126],"Qualitative":[127],"experiments":[128],"based":[129],"both":[131],"phantoms":[132,163],"patient":[134],"MR":[135],"images":[136],"show":[137],"significant":[138],"improvements":[139],"using":[140],"extant":[146],"anisotropic":[147],"diffusive":[148],"method":[150],"in":[151],"preserving":[152],"details":[154],"sharpness":[156],"Quantitative":[160],"analysis":[161],"generated":[164],"under":[165],"range":[167],"conditions":[169],"blurring,":[171],"noise,":[172],"background":[174],"variation":[175],"confirm":[176],"superiority":[178],"new":[181],"approaches.":[183]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1999869503","counts_by_year":[],"updated_date":"2024-03-02T05:15:21.464429","created_date":"2016-06-24"}