{"id":"https://openalex.org/W2090862748","doi":"https://doi.org/10.1142/s0218001407005788","title":"ENHANCEMENT OF MAMMOGRAPHIC PHANTOM FEATURES BY NOISE REDUCTION","display_name":"ENHANCEMENT OF MAMMOGRAPHIC PHANTOM FEATURES BY NOISE REDUCTION","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2090862748","doi":"https://doi.org/10.1142/s0218001407005788","mag":"2090862748"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001407005788","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001407005788","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"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/A5102710247","display_name":"Mouloud Adel","orcid":"https://orcid.org/0000-0003-2840-0172"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"MOULOUD ADEL","raw_affiliation_strings":["Institut FRESNEL, UMR-CNRS 6133, Equipe GSM, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut FRESNEL, UMR-CNRS 6133, Equipe GSM, France","institution_ids":["https://openalex.org/I4210125985","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062198484","display_name":"Daniel Zuwala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"DANIEL ZUWALA","raw_affiliation_strings":["Interface Physique-Biologie-M\u00e9decine, case EC1, Domaine Universitaire de Saint-J\u00e9r\u00f4me, 13397 Marseille Cedex 20, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interface Physique-Biologie-M\u00e9decine, case EC1, Domaine Universitaire de Saint-J\u00e9r\u00f4me, 13397 Marseille Cedex 20, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033965104","display_name":"M. Rasigni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MONIQUE RASIGNI","raw_affiliation_strings":["Interface Physique-Biologie-M\u00e9decine, case EC1, Domaine Universitaire de Saint-J\u00e9r\u00f4me, 13397 Marseille Cedex 20, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interface Physique-Biologie-M\u00e9decine, case EC1, Domaine Universitaire de Saint-J\u00e9r\u00f4me, 13397 Marseille Cedex 20, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052863335","display_name":"Salah Bourennane","orcid":"https://orcid.org/0000-0002-4683-6685"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"SALAH BOURENNANE","raw_affiliation_strings":["Institut FRESNEL, UMR-CNRS 6133, Equipe GSM, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut FRESNEL, UMR-CNRS 6133, Equipe GSM, France","institution_ids":["https://openalex.org/I4210125985","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19196147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"06","first_page":"1047","last_page":"1057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.996999979019165,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/imaging-phantom","display_name":"Imaging phantom","score":0.9377119541168213},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6876314282417297},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6852097511291504},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6549906730651855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6094367504119873},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5956786274909973},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49445438385009766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47617214918136597},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38276469707489014},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3498387336730957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29091358184814453},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1558017134666443},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08415821194648743}],"concepts":[{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.9377119541168213},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6876314282417297},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6852097511291504},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6549906730651855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6094367504119873},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5956786274909973},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49445438385009766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47617214918136597},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38276469707489014},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3498387336730957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29091358184814453},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1558017134666443},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08415821194648743},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001407005788","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001407005788","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W6057515","https://openalex.org/W1523669306","https://openalex.org/W1545988247","https://openalex.org/W1578986447","https://openalex.org/W1980573855","https://openalex.org/W1983554269","https://openalex.org/W1983753980","https://openalex.org/W1986276657","https://openalex.org/W2028223809","https://openalex.org/W2030120195","https://openalex.org/W2030397877","https://openalex.org/W2032212786","https://openalex.org/W2040479363","https://openalex.org/W2049909233","https://openalex.org/W2058333183","https://openalex.org/W2062001301","https://openalex.org/W2064887772","https://openalex.org/W2065418763","https://openalex.org/W2068842398","https://openalex.org/W2076293758","https://openalex.org/W2083996091","https://openalex.org/W2086181738","https://openalex.org/W2091452795","https://openalex.org/W2098928732","https://openalex.org/W2103763210","https://openalex.org/W2115544497","https://openalex.org/W2129829008","https://openalex.org/W2132125977","https://openalex.org/W2137618748","https://openalex.org/W2144469033","https://openalex.org/W2146437317"],"related_works":["https://openalex.org/W2417440389","https://openalex.org/W4385556839","https://openalex.org/W2734382758","https://openalex.org/W4378746257","https://openalex.org/W2109481748","https://openalex.org/W2381719890","https://openalex.org/W2948918209","https://openalex.org/W2040853802","https://openalex.org/W4206096448","https://openalex.org/W2353456014"],"abstract_inverted_index":{"A":[0],"noise":[1],"reduction":[2,57],"scheme":[3],"on":[4,15,60],"digitized":[5],"mammographic":[6],"phantom":[7,46,65,87],"images":[8,37,66],"is":[9,13],"presented.":[10],"This":[11],"algorithm":[12],"based":[14],"a":[16,33,76],"direct":[17],"contrast":[18],"modification":[19],"method":[20,71],"with":[21],"an":[22],"optimal":[23],"function,":[24],"obtained":[25,59],"by":[26,90],"using":[27],"the":[28,45,51,54,69,81],"mean":[29],"squared":[30],"error":[31],"as":[32,75],"criterion.":[34],"Computer":[35],"simulated":[36,62],"containing":[38],"objects":[39],"similar":[40],"to":[41,49],"those":[42],"observed":[43],"in":[44],"are":[47],"built":[48],"evaluate":[50],"performance":[52],"of":[53,83,85,92],"algorithm.":[55],"Noise":[56],"results":[58],"both":[61],"and":[63],"real":[64],"show":[67],"that":[68],"developed":[70],"may":[72],"be":[73],"considered":[74],"good":[77],"preprocessing":[78],"step":[79],"from":[80],"point":[82],"view":[84],"automating":[86],"film":[88],"evaluation":[89],"means":[91],"image":[93],"processing.":[94]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}