{"id":"https://openalex.org/W4281795611","doi":"https://doi.org/10.1145/3523286.3524571","title":"Preliminary denoising by 3D U-Net in image domain for low dose CT images","display_name":"Preliminary denoising by 3D U-Net in image domain for low dose CT images","publication_year":2022,"publication_date":"2022-01-21","ids":{"openalex":"https://openalex.org/W4281795611","doi":"https://doi.org/10.1145/3523286.3524571"},"language":"en","primary_location":{"id":"doi:10.1145/3523286.3524571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523286.3524571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","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/A5000337587","display_name":"Xiaofu Song","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofu Song","raw_affiliation_strings":["School of software, Zhengzhou University, China"],"affiliations":[{"raw_affiliation_string":"School of software, Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007105197","display_name":"Yu Han","orcid":"https://orcid.org/0000-0002-0270-287X"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Han","raw_affiliation_strings":["College of Information System Engineering, Information Engineering University, China"],"affiliations":[{"raw_affiliation_string":"College of Information System Engineering, Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074283910","display_name":"Xiaoqi Xi","orcid":"https://orcid.org/0000-0002-3261-6390"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqi Xi","raw_affiliation_strings":["College of Information System Engineering, Information Engineering University, China"],"affiliations":[{"raw_affiliation_string":"College of Information System Engineering, Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440232","display_name":"Lei Li","orcid":"https://orcid.org/0000-0001-5847-6923"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["College of Information System Engineering, Information Engineering University, China"],"affiliations":[{"raw_affiliation_string":"College of Information System Engineering, Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042094761","display_name":"Linlin Zhu","orcid":"https://orcid.org/0000-0001-8932-9758"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Zhu","raw_affiliation_strings":["College of Information System Engineering, Information Engineering University, China"],"affiliations":[{"raw_affiliation_string":"College of Information System Engineering, Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024953883","display_name":"Shuangzhan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangzhan Yang","raw_affiliation_strings":["College of Information System Engineering, Information Engineering University, China"],"affiliations":[{"raw_affiliation_string":"College of Information System Engineering, Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611706","display_name":"Mengnan Liu","orcid":"https://orcid.org/0000-0002-3878-6956"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengnan Liu","raw_affiliation_strings":["College of Information System Engineering, Information Engineering University, China"],"affiliations":[{"raw_affiliation_string":"College of Information System Engineering, Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113823788","display_name":"Siyu Tan","orcid":"https://orcid.org/0000-0002-6909-8048"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Tan","raw_affiliation_strings":["College of Information System Engineering, Information Engineering University, China"],"affiliations":[{"raw_affiliation_string":"College of Information System Engineering, Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089425067","display_name":"Bin Yan","orcid":"https://orcid.org/0000-0001-8268-559X"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yan","raw_affiliation_strings":["College of Information System Engineering, Information Engineering University, China"],"affiliations":[{"raw_affiliation_string":"College of Information System Engineering, Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5000337587"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":0.2861,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53949635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"367","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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":0.9962000250816345,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7377261519432068},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.717092752456665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6893266439437866},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6173990964889526},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.606471836566925},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5844518542289734},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5258805751800537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48489314317703247},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4450424015522003},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.43127119541168213},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42435142397880554},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.4219125509262085},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4030413031578064},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.2413853108882904},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2233065962791443}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7377261519432068},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.717092752456665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6893266439437866},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6173990964889526},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.606471836566925},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5844518542289734},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5258805751800537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48489314317703247},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4450424015522003},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.43127119541168213},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42435142397880554},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.4219125509262085},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4030413031578064},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.2413853108882904},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2233065962791443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523286.3524571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523286.3524571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1972150100","https://openalex.org/W2787564202","https://openalex.org/W3031851869","https://openalex.org/W3103261259"],"related_works":["https://openalex.org/W2761243560","https://openalex.org/W233850645","https://openalex.org/W2776327255","https://openalex.org/W2098237619","https://openalex.org/W1974796563","https://openalex.org/W2511423457","https://openalex.org/W4213271663","https://openalex.org/W1538114257","https://openalex.org/W4401572286","https://openalex.org/W2066798134"],"abstract_inverted_index":{"Low":[0],"dose":[1],"CT":[2,19,55],"(LDCT)":[3],"by":[4,79,184],"reducing":[5],"the":[6,29,53,75,93,98,109,114,119,123,132,138,150,169,179],"X-ray":[7],"tube":[8],"current":[9],"is":[10,58,71,101],"of":[11,84,116,118,143,178],"huge":[12],"significance":[13],"during":[14],"clinical":[15],"scanning.":[16],"However,":[17],"low-dose":[18],"images":[20,146,166,181],"often":[21],"have":[22,43],"strong":[23],"noise":[24,36,152],"and":[25,32,140,147,153,161,174,187],"artifacts,":[26,154],"which":[27,111],"affects":[28],"image":[30,50,56,94,151],"quality":[31],"diagnostic":[33],"performance.":[34],"LDCT":[35,64,165],"reduction":[37],"methods":[38],"based":[39,67],"on":[40,68],"deep":[41],"learning":[42],"recently":[44],"achieved":[45],"good":[46],"results":[47,129],"in":[48,60,108,158],"improving":[49],"quality.":[51],"Since":[52],"reconstructed":[54],"itself":[57],"3D,":[59],"this":[61],"paper":[62],"a":[63],"denoising":[65],"method":[66,134],"3D":[69,76,80,89,120],"U-Net":[70],"proposed":[72,133],"to":[73,125],"combine":[74],"spatial":[77],"information":[78,142],"convolution":[81],"directly,":[82],"instead":[83],"processing":[85],"2D":[86],"slices":[87,100],"from":[88],"volume":[90],"data.":[91],"Therefore,":[92],"change":[95],"continuity":[96],"between":[97],"adjacent":[99],"guaranteed.":[102],"In":[103],"addition,":[104],"multiple":[105],"down-sampling":[106],"operations":[107],"network,":[110,121],"can":[112,135],"reduce":[113],"number":[115],"parameters":[117],"help":[122],"network":[124],"train.":[126],"The":[127],"experimental":[128],"show":[130],"that":[131],"effectively":[136],"preserve":[137],"structural":[139,175],"texture":[141],"normal":[144],"NDCT":[145],"significantly":[148],"suppress":[149],"achieving":[155],"better":[156],"performance":[157],"both":[159],"quantification":[160],"visualization.":[162],"Compared":[163],"with":[164],"without":[167],"denoising,":[168],"peak":[170],"signal-to-noise":[171],"ratio":[172],"(PSNR)":[173],"similarity":[176],"(SSIM)":[177],"processed":[180],"were":[182],"improved":[183],"12.18":[185],"dB":[186],"0.35":[188],"dB,":[189],"respectively.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}