{"id":"https://openalex.org/W4402030421","doi":"https://doi.org/10.1145/3674700.3674706","title":"Enhanced fully convolutional network based on external attention for low-dose CT denoising","display_name":"Enhanced fully convolutional network based on external attention for low-dose CT denoising","publication_year":2024,"publication_date":"2024-06-13","ids":{"openalex":"https://openalex.org/W4402030421","doi":"https://doi.org/10.1145/3674700.3674706"},"language":"en","primary_location":{"id":"doi:10.1145/3674700.3674706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674700.3674706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Control and Computer Vision","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":null,"display_name":"Haining Zhang","orcid":"https://orcid.org/0009-0002-2353-880X"},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haining Zhang","raw_affiliation_strings":["Tianjin Key Laboratory of information sensing and intelligent control, Tianjin University of Technology and Education, China"],"raw_orcid":"https://orcid.org/0009-0002-2353-880X","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of information sensing and intelligent control, Tianjin University of Technology and Education, China","institution_ids":["https://openalex.org/I133270356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101882458","display_name":"Jian Dong","orcid":"https://orcid.org/0000-0002-7075-6175"},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Dong","raw_affiliation_strings":["Tianjin Key Laboratory of information sensing and intelligent control, Tianjin University of Technology and Education, China"],"raw_orcid":"https://orcid.org/0000-0002-7075-6175","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of information sensing and intelligent control, Tianjin University of Technology and Education, China","institution_ids":["https://openalex.org/I133270356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133270356"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"32","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9961000084877014,"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/noise-reduction","display_name":"Noise reduction","score":0.615741491317749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6033346652984619},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4666694700717926},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4151255488395691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4079139530658722},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.32576999068260193}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.615741491317749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6033346652984619},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4666694700717926},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4151255488395691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4079139530658722},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.32576999068260193}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674700.3674706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674700.3674706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Control and Computer Vision","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":20,"referenced_works":["https://openalex.org/W618189301","https://openalex.org/W2134709905","https://openalex.org/W2726456930","https://openalex.org/W2766518069","https://openalex.org/W2787564202","https://openalex.org/W2963091558","https://openalex.org/W3103261259","https://openalex.org/W4296747661","https://openalex.org/W4313574747","https://openalex.org/W4317435191","https://openalex.org/W4319964803","https://openalex.org/W4366777701","https://openalex.org/W4387396486","https://openalex.org/W4392558296","https://openalex.org/W4392806700","https://openalex.org/W4393187599","https://openalex.org/W4393282053","https://openalex.org/W4393320646","https://openalex.org/W4394818989","https://openalex.org/W6859920686"],"related_works":["https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298","https://openalex.org/W2137437058","https://openalex.org/W2884249467","https://openalex.org/W4396520874","https://openalex.org/W4390401159","https://openalex.org/W2744391499","https://openalex.org/W2800070131","https://openalex.org/W4230250635"],"abstract_inverted_index":{"In":[0],"recent":[1],"decades,":[2],"researchers":[3],"have":[4],"concentrated":[5],"their":[6],"efforts":[7],"on":[8,106],"developing":[9],"techniques":[10],"to":[11,79,94],"denoise":[12],"low-dose,":[13],"sparse-angle":[14],"CT":[15,20,109],"images.":[16,110],"Currently,":[17],"mainstream":[18],"low-dose":[19],"methods":[21,33],"include":[22],"traditional":[23],"iterative":[24],"reconstruction":[25],"algorithms":[26],"and":[27,39,68,117,124],"deep":[28,47],"learning":[29],"algorithms.":[30],"However,":[31],"these":[32],"still":[34],"exhibit":[35],"transition":[36],"smoothing,":[37],"noise,":[38],"artifact":[40,125],"residue.":[41],"Inspired":[42],"by":[43],"the":[44,73,100],"idea":[45],"of":[46,122],"learning,":[48],"we":[49],"propose":[50],"an":[51],"improved":[52],"fully":[53,82],"convolutional":[54,83],"neural":[55],"network":[56,61],"using":[57],"external":[58,65],"attention.":[59],"The":[60],"incorporates":[62],"a":[63,81],"novel":[64],"attention":[66],"module,":[67],"use":[69],"perceptual":[70],"loss":[71,74],"as":[72],"function":[75],"which":[76],"is":[77],"used":[78],"construct":[80],"model":[84,89],"with":[85],"dense":[86],"connections.":[87],"This":[88],"fuses":[90],"extracted":[91],"feature":[92],"information":[93],"achieve":[95],"image":[96],"denoising.":[97],"Following":[98],"training,":[99],"proposed":[101],"EA-FCN":[102],"demonstrated":[103],"superior":[104],"performance":[105],"actual":[107],"clinical":[108],"Furthermore,":[111],"our":[112],"method":[113],"achieved":[114],"favorable":[115],"subjective":[116],"objective":[118],"evaluations":[119],"in":[120],"terms":[121],"noise":[123],"suppression.":[126]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}