{"id":"https://openalex.org/W2192739149","doi":"https://doi.org/10.1117/12.2228704","title":"A new study on mammographic image denoising using multiresolution techniques","display_name":"A new study on mammographic image denoising using multiresolution techniques","publication_year":2015,"publication_date":"2015-12-08","ids":{"openalex":"https://openalex.org/W2192739149","doi":"https://doi.org/10.1117/12.2228704","mag":"2192739149"},"language":"en","primary_location":{"id":"doi:10.1117/12.2228704","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2228704","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-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/A5055608769","display_name":"Min Dong","orcid":"https://orcid.org/0000-0002-5907-8318"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Dong","raw_affiliation_strings":["Lanzhou Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Lanzhou Univ. (China)","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101737696","display_name":"Yanan Guo","orcid":"https://orcid.org/0000-0001-6366-3168"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya-Nan Guo","raw_affiliation_strings":["Lanzhou Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Lanzhou Univ. (China)","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042455990","display_name":"Yide Ma","orcid":"https://orcid.org/0000-0001-6098-7853"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-De Ma","raw_affiliation_strings":["Lanzhou Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Lanzhou Univ. (China)","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032508392","display_name":"Yurun Ma","orcid":"https://orcid.org/0000-0001-8343-4266"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-run Ma","raw_affiliation_strings":["Lanzhou Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Lanzhou Univ. (China)","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073429714","display_name":"Xiangyu L\u01da","orcid":"https://orcid.org/0000-0002-4823-7096"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang-yu Lu","raw_affiliation_strings":["Lanzhou Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Lanzhou Univ. (China)","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067606116","display_name":"Keju Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke-ju Wang","raw_affiliation_strings":["Lanzhou Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Lanzhou Univ. (China)","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055608769"],"corresponding_institution_ids":["https://openalex.org/I76214153"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10260963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9875","issue":null,"first_page":"987518","last_page":"987518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.989300012588501,"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/contourlet","display_name":"Contourlet","score":0.8778364658355713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7470272779464722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6881320476531982},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6755911111831665},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.6071649193763733},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.563532292842865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5520935654640198},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5089969635009766},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49820876121520996},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.47999829053878784},{"id":"https://openalex.org/keywords/multiresolution-analysis","display_name":"Multiresolution analysis","score":0.4514521360397339},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.42808911204338074},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42108237743377686},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.41925501823425293},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.41107600927352905},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.2433159053325653},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2395673394203186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21367791295051575},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20526042580604553},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0792391300201416}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.8778364658355713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470272779464722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6881320476531982},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6755911111831665},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6071649193763733},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.563532292842865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5520935654640198},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5089969635009766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49820876121520996},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.47999829053878784},{"id":"https://openalex.org/C121927907","wikidata":"https://www.wikidata.org/wiki/Q1952516","display_name":"Multiresolution analysis","level":5,"score":0.4514521360397339},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.42808911204338074},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42108237743377686},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.41925501823425293},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.41107600927352905},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.2433159053325653},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2395673394203186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21367791295051575},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20526042580604553},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0792391300201416},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2228704","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2228704","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/183944","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/183944","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u4f1a\u8bae\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322880","display_name":"Natural Science Foundation of Gansu Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1209561674","https://openalex.org/W1571046953","https://openalex.org/W1604810369","https://openalex.org/W1983861621","https://openalex.org/W1996021349","https://openalex.org/W2018332268","https://openalex.org/W2019949559","https://openalex.org/W2026517469","https://openalex.org/W2053015565","https://openalex.org/W2062085624","https://openalex.org/W2109001758","https://openalex.org/W2117513313","https://openalex.org/W2118292451","https://openalex.org/W2133665775","https://openalex.org/W2137304315","https://openalex.org/W2143494782","https://openalex.org/W2155919893","https://openalex.org/W2170552969","https://openalex.org/W2321898475","https://openalex.org/W2542409287","https://openalex.org/W6633658626","https://openalex.org/W6636230252","https://openalex.org/W6682860199"],"related_works":["https://openalex.org/W424750976","https://openalex.org/W2351534041","https://openalex.org/W2429650965","https://openalex.org/W2906192557","https://openalex.org/W3045976128","https://openalex.org/W3043259175","https://openalex.org/W2539735304","https://openalex.org/W4292079387","https://openalex.org/W1827715172","https://openalex.org/W2606645259"],"abstract_inverted_index":{"Mammography":[0],"is":[1,73,91],"the":[2,15,43,52,75,78,94,96,101,108,120,131],"most":[3],"simple":[4],"and":[5,49,85,110,113,127,142],"effective":[6],"technology":[7],"for":[8],"early":[9],"detection":[10],"of":[11,18,80,130],"breast":[12,19],"cancer.":[13],"However,":[14],"lesion":[16],"areas":[17],"are":[20,28,56],"difficult":[21],"to":[22,26,138],"detect":[23],"which":[24,41],"due":[25],"mammograms":[27],"mixed":[29],"with":[30],"noise.":[31],"This":[32],"work":[33],"focuses":[34],"on":[35,47,67,93,124],"discussing":[36],"various":[37],"multiresolution":[38,54,103],"denoising":[39,64,89],"techniques":[40],"include":[42],"classical":[44],"methods":[45,55,122],"based":[46,66],"wavelet":[48],"contourlet;":[50],"moreover":[51],"emerging":[53,102],"also":[57],"researched.":[58],"In":[59],"this":[60],"work,":[61],"a":[62],"new":[63],"method":[65,90,104],"dual":[68],"tree":[69],"contourlet":[70],"transform":[71],"(DCT)":[72],"proposed,":[74],"DCT":[76],"possess":[77],"advantage":[79],"approximate":[81],"shift":[82],"invariant,":[83],"directionality":[84],"anisotropy.":[86],"The":[87],"proposed":[88],"implemented":[92],"mammogram,":[95],"experimental":[97],"results":[98],"show":[99],"that":[100],"succeeded":[105],"in":[106,128],"maintaining":[107],"edges":[109],"texture":[111],"details;":[112],"it":[114],"can":[115],"obtain":[116],"better":[117],"performance":[118],"than":[119],"other":[121],"both":[123],"visual":[125],"effects":[126],"terms":[129],"Mean":[132],"Square":[133],"Error":[134],"(MSE),":[135],"Peak":[136],"Signal":[137],"Noise":[139],"Ratio":[140],"(PSNR)":[141],"Structure":[143],"Similarity":[144],"(SSIM)":[145],"values.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
