{"id":"https://openalex.org/W3108623161","doi":"https://doi.org/10.1109/icspcc50002.2020.9259524","title":"Enhancement of Mammograms with Periphery Brightness Compensation","display_name":"Enhancement of Mammograms with Periphery Brightness Compensation","publication_year":2020,"publication_date":"2020-08-21","ids":{"openalex":"https://openalex.org/W3108623161","doi":"https://doi.org/10.1109/icspcc50002.2020.9259524","mag":"3108623161"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc50002.2020.9259524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc50002.2020.9259524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010492811","display_name":"Yuting Tang","orcid":"https://orcid.org/0000-0001-8443-7098"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Tang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377330","display_name":"Junfeng Wang","orcid":"https://orcid.org/0000-0002-7197-7404"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15160121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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":0.9991000294685364,"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":0.9955999851226807,"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/brightness","display_name":"Brightness","score":0.7276731729507446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.675652801990509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6573324203491211},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6247671842575073},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5792369842529297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5500994920730591},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5227335095405579},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5059732794761658},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.40440016984939575},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14635440707206726},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13655304908752441},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12307628989219666},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.12071254849433899}],"concepts":[{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.7276731729507446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.675652801990509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6573324203491211},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6247671842575073},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5792369842529297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5500994920730591},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5227335095405579},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5059732794761658},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.40440016984939575},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14635440707206726},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13655304908752441},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12307628989219666},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.12071254849433899},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc50002.2020.9259524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc50002.2020.9259524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1978034208","https://openalex.org/W1996912398","https://openalex.org/W2052107321","https://openalex.org/W2081737161","https://openalex.org/W2112833480","https://openalex.org/W2288804542","https://openalex.org/W2533214323","https://openalex.org/W2985238872","https://openalex.org/W2987528644"],"related_works":["https://openalex.org/W115686965","https://openalex.org/W2768918307","https://openalex.org/W2110031805","https://openalex.org/W2040020606","https://openalex.org/W2387055199","https://openalex.org/W2313061941","https://openalex.org/W4362659915","https://openalex.org/W2113071088","https://openalex.org/W2321543601","https://openalex.org/W2972861887"],"abstract_inverted_index":{"Mammography":[0],"is":[1,15,46,74,87,109,123],"an":[2,140],"effective":[3],"way":[4],"for":[5,18,62],"early":[6],"diagnosis":[7],"of":[8,13,37,65,98,150,162],"breast":[9,39,45,100],"cancer.":[10],"The":[11],"enhancement":[12,64],"mammograms":[14,66],"essentially":[16],"important":[17],"the":[19,32,35,38,44,53,63,72,85,96,99,102,106,116,120,127,131,148,151,157,160],"diagnosis.":[20],"This":[21],"can":[22],"be":[23,41],"achieved":[24],"by":[25,111],"high-pass":[26],"filtering":[27],"and":[28,80,119,130,136,159],"grayscale":[29],"mapping.":[30],"However,":[31],"details":[33],"in":[34,52,101,115,147],"periphery":[36,51,68,107,149],"may":[40],"lost":[42],"because":[43],"bright":[47],"except":[48],"its":[49],"dark":[50],"mammogram.":[54],"In":[55],"this":[56,163],"paper,":[57],"we":[58],"present":[59],"a":[60,77,81,112],"technique":[61],"with":[67,142],"brightness":[69,108],"compensation.":[70],"First,":[71],"image":[73,79,122,129,133,141],"decomposed":[75],"into":[76],"base":[78,117,128],"detail":[82,103,121,132],"image.":[83,104],"Especially,":[84],"decomposition":[86],"adaptive":[88],"such":[89],"that":[90],"no":[91],"artifacts":[92],"are":[93,134],"made":[94],"on":[95],"boundary":[97],"Then,":[105],"compensated":[110],"Gamma":[113],"correction":[114],"image,":[118],"linearly":[124],"amplified.":[125],"Finally,":[126],"summed":[135],"mapped":[137],"to":[138],"obtain":[139],"significantly":[143],"enhanced":[144],"details,":[145],"even":[146],"breast.":[152],"Some":[153],"experimental":[154],"results":[155],"indicate":[156],"effectiveness":[158],"advantage":[161],"technique.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
