{"id":"https://openalex.org/W4394730872","doi":"https://doi.org/10.1109/access.2024.3387413","title":"Multiscale Feature Attention Module Based Pyramid Network for Medical Digital Radiography Image Enhancement","display_name":"Multiscale Feature Attention Module Based Pyramid Network for Medical Digital Radiography Image Enhancement","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394730872","doi":"https://doi.org/10.1109/access.2024.3387413"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3387413","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3387413","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10496689.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10496689.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109709111","display_name":"Wenjing Xue","orcid":"https://orcid.org/0009-0009-8691-9416"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Xue","raw_affiliation_strings":["School of Mathematics and Statistics, Shandong University of Technology, Zibo, China","School of Mathematics and Statistics, Shandong University of Technology, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Shandong University of Technology, Shandong, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101757480","display_name":"Yingmei Wang","orcid":"https://orcid.org/0000-0002-3535-2845"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingmei Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Shandong University of Technology, Zibo, China","School of Mathematics and Statistics, Shandong University of Technology, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0002-3535-2845","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Shandong University of Technology, Shandong, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102803573","display_name":"Zhien Qin","orcid":"https://orcid.org/0009-0005-7840-2709"},"institutions":[{"id":"https://openalex.org/I4210153660","display_name":"Shinva (China)","ror":"https://ror.org/04aycct37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210153660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhien Qin","raw_affiliation_strings":["Shinva Medical Instrument Company Ltd., Zibo, China"],"raw_orcid":"https://orcid.org/0009-0005-7840-2709","affiliations":[{"raw_affiliation_string":"Shinva Medical Instrument Company Ltd., Zibo, China","institution_ids":["https://openalex.org/I4210153660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2712,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5431173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"53686","last_page":"53697"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980999827384949,"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/pyramid","display_name":"Pyramid (geometry)","score":0.7509437799453735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7410826683044434},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6594685316085815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.651638925075531},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.644250214099884},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.48658692836761475},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47929683327674866},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.4732397496700287},{"id":"https://openalex.org/keywords/digital-radiography","display_name":"Digital radiography","score":0.4547339081764221},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.4166916310787201},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.410567045211792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3607744872570038},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3507792353630066},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30553925037384033},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10498437285423279},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09900414943695068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09096774458885193}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7509437799453735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410826683044434},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6594685316085815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.651638925075531},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.644250214099884},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.48658692836761475},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47929683327674866},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.4732397496700287},{"id":"https://openalex.org/C2781305912","wikidata":"https://www.wikidata.org/wiki/Q1225030","display_name":"Digital radiography","level":3,"score":0.4547339081764221},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.4166916310787201},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.410567045211792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3607744872570038},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3507792353630066},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30553925037384033},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10498437285423279},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09900414943695068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09096774458885193},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3387413","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3387413","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10496689.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:40e489d16ff24a1a9f5920d9c7f96207","is_oa":true,"landing_page_url":"https://doaj.org/article/40e489d16ff24a1a9f5920d9c7f96207","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,"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":"IEEE Access, Vol 12, Pp 53686-53697 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3387413","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3387413","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10496689.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2615228826","display_name":null,"funder_award_id":"ZR2022MA027","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321160","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320330330","display_name":"Guangdong Province Key Laboratory of Computational Science","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394730872.pdf","grobid_xml":"https://content.openalex.org/works/W4394730872.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2093805119","https://openalex.org/W2100643868","https://openalex.org/W2110254490","https://openalex.org/W2133665775","https://openalex.org/W2166538457","https://openalex.org/W2574442763","https://openalex.org/W2578357508","https://openalex.org/W2777356512","https://openalex.org/W2791071401","https://openalex.org/W2794174629","https://openalex.org/W2898727287","https://openalex.org/W2901310501","https://openalex.org/W2901479010","https://openalex.org/W2919234133","https://openalex.org/W2947207002","https://openalex.org/W2958150439","https://openalex.org/W2963698657","https://openalex.org/W2972983890","https://openalex.org/W2990963722","https://openalex.org/W2993464084","https://openalex.org/W2997634654","https://openalex.org/W3024498802","https://openalex.org/W3025800305","https://openalex.org/W3091618893","https://openalex.org/W3094253649","https://openalex.org/W3095986980","https://openalex.org/W3096947210","https://openalex.org/W3102128208","https://openalex.org/W3123949225","https://openalex.org/W3161216514","https://openalex.org/W3164748911","https://openalex.org/W3181993668","https://openalex.org/W4210649006","https://openalex.org/W4214520513","https://openalex.org/W4221034033","https://openalex.org/W4229020532","https://openalex.org/W4283448162","https://openalex.org/W4310382960","https://openalex.org/W4312249431","https://openalex.org/W4319300887","https://openalex.org/W6777035472"],"related_works":["https://openalex.org/W3036827782","https://openalex.org/W1504972346","https://openalex.org/W2951194758","https://openalex.org/W2356087891","https://openalex.org/W2553152692","https://openalex.org/W1997609524","https://openalex.org/W2183514925","https://openalex.org/W2348439329","https://openalex.org/W1997234952","https://openalex.org/W2373336158"],"abstract_inverted_index":{"Medical":[0],"digital":[1],"radiography":[2],"(DR)":[3],"is":[4,42,117],"widely":[5],"used":[6],"in":[7,22,43,180,185],"the":[8,14,44,52,57,71,87,93,102,110,167,170,181,186,192,201,206,220],"clinical":[9,247],"application.":[10,248],"To":[11],"deal":[12],"with":[13,125,138,210],"problems":[15],"of":[16,46,66,96,121,157,169,195,205,213,216,222,246],"noise,":[17],"edge":[18],"blur,":[19],"low":[20],"contrast":[21,234],"DR":[23],"images,":[24],"we":[25,77,130],"propose":[26],"a":[27,47,79,105,118,132],"multiscale":[28,81,196],"feature":[29,82,94,112,134],"attention":[30,83,127],"module":[31,85],"based":[32],"pyramid":[33,63,123],"enhancement":[34],"network":[35,41,103,119],"by":[36,55],"training":[37],"image":[38,72],"blocks.":[39],"The":[40],"framework":[45],"simplified":[48],"U-Net,":[49],"which":[50,91,165,225],"reduces":[51],"computational":[53],"load":[54],"reducing":[56],"convolution":[58,150],"layer,":[59],"and":[60,89,100,142,151,177,184,198,239],"adopts":[61],"Laplacian":[62],"connection":[64],"instead":[65],"concatenation":[67],"operation":[68],"to":[69,108,154,162,190,199],"preserve":[70,191],"boundary":[73],"information.":[74,113],"In":[75],"addition,":[76],"embed":[78],"simple":[80],"(SMFA)":[84],"between":[86,149],"encoder":[88],"decoder,":[90],"integrates":[92],"information":[95,156,194],"different":[97,214],"scales":[98],"precisely":[99],"makes":[101],"have":[104],"stronger":[106],"ability":[107],"perceive":[109],"local":[111],"Our":[114],"proposed":[115,229],"algorithm":[116,230],"realization":[120],"Gauss-Laplacian":[122],"decomposition":[124],"an":[126],"module.":[128],"Furthermore,":[129],"design":[131],"side":[133],"loss":[135,141],"function":[136,176,179],"combined":[137],"mean":[139],"square":[140],"absolute":[143],"loss.":[144],"We":[145,172],"adopt":[146],"batch":[147],"normalization":[148],"activation":[152,175],"operations":[153],"ensure":[155],"all":[158],"gray":[159,202],"scale":[160,203],"regions":[161],"be":[163],"considered,":[164],"enhances":[166],"robustness":[168],"network.":[171],"use":[173],"LeakyReLu":[174],"Sigmoid":[178],"previous":[182],"layers":[183,188],"output":[187,207],"respectively":[189],"negative":[193],"details":[197,237],"keep":[200],"region":[204],"images.":[208],"Experiments":[209],"real":[211],"data":[212],"parts":[215],"human":[217],"body":[218],"validate":[219],"effectiveness":[221],"our":[223,228],"algorithm,":[224],"shows":[226],"that":[227],"performs":[231],"well":[232],"on":[233],"enhancement,":[235],"structure":[236],"preservation,":[238],"noise":[240],"suppression.":[241],"It":[242],"has":[243],"certain":[244],"value":[245]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}