{"id":"https://openalex.org/W3203906727","doi":"https://doi.org/10.1145/3467707.3467724","title":"Medical Images Super Resolution Reconstruction based on Residual Network","display_name":"Medical Images Super Resolution Reconstruction based on Residual Network","publication_year":2021,"publication_date":"2021-04-23","ids":{"openalex":"https://openalex.org/W3203906727","doi":"https://doi.org/10.1145/3467707.3467724","mag":"3203906727"},"language":"en","primary_location":{"id":"doi:10.1145/3467707.3467724","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467707.3467724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and Artificial Intelligence","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/A5101785295","display_name":"Dongxu Zhao","orcid":"https://orcid.org/0009-0008-3325-9322"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"DongXu Zhao","raw_affiliation_strings":["Tiangong University, China"],"affiliations":[{"raw_affiliation_string":"Tiangong University, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367225","display_name":"Fang Zhang","orcid":"https://orcid.org/0000-0002-0897-4243"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Zhang","raw_affiliation_strings":["Tiangong University, China"],"affiliations":[{"raw_affiliation_string":"Tiangong University, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101664863","display_name":"Wen Wang","orcid":"https://orcid.org/0000-0002-3019-2336"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Wang","raw_affiliation_strings":["Tiangong University, China"],"affiliations":[{"raw_affiliation_string":"Tiangong University, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008957721","display_name":"Zhitao Xiao","orcid":"https://orcid.org/0000-0003-2444-9198"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZhiTao Xiao","raw_affiliation_strings":["Tiangong University, China"],"affiliations":[{"raw_affiliation_string":"Tiangong University, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101754023","display_name":"Lei Geng","orcid":"https://orcid.org/0000-0002-5010-2596"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Geng","raw_affiliation_strings":["Tiangong University, China"],"affiliations":[{"raw_affiliation_string":"Tiangong University, China","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101785295"],"corresponding_institution_ids":["https://openalex.org/I198091727"],"apc_list":null,"apc_paid":null,"fwci":0.5764,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.6872549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"119","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9918000102043152,"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":0.9914000034332275,"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/computer-science","display_name":"Computer science","score":0.7698469161987305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7615005373954773},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6278431415557861},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6227551102638245},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6051454544067383},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5629755854606628},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5239774584770203},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5234032273292542},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5160841345787048},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47359517216682434},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4616045355796814},{"id":"https://openalex.org/keywords/medical-ultrasound","display_name":"Medical ultrasound","score":0.44747868180274963},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4394736588001251},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43022894859313965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41193628311157227},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3387277126312256},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.2933463454246521},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19221484661102295},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09487691521644592},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07008057832717896},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06831976771354675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7698469161987305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7615005373954773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6278431415557861},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6227551102638245},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6051454544067383},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5629755854606628},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5239774584770203},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5234032273292542},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5160841345787048},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47359517216682434},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4616045355796814},{"id":"https://openalex.org/C2992165143","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Medical ultrasound","level":3,"score":0.44747868180274963},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4394736588001251},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43022894859313965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41193628311157227},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3387277126312256},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.2933463454246521},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19221484661102295},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09487691521644592},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07008057832717896},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06831976771354675},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3467707.3467724","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467707.3467724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W948663339","https://openalex.org/W1571849492","https://openalex.org/W1885185971","https://openalex.org/W1900772191","https://openalex.org/W1965207057","https://openalex.org/W2067108728","https://openalex.org/W2115548755","https://openalex.org/W2138237382","https://openalex.org/W2163523041","https://openalex.org/W2167712228","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2295844283","https://openalex.org/W2302255633","https://openalex.org/W2331143823","https://openalex.org/W2383601426","https://openalex.org/W2476548250","https://openalex.org/W2527841944","https://openalex.org/W2751646824","https://openalex.org/W2780544323","https://openalex.org/W2802431269","https://openalex.org/W2811263763","https://openalex.org/W2894290558","https://openalex.org/W2901354392","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2964125708","https://openalex.org/W4249142012"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W2925692864","https://openalex.org/W4233449973","https://openalex.org/W2537408670","https://openalex.org/W1965891716"],"abstract_inverted_index":{"Low-quality":[0],"medical":[1,148,163],"ultrasound":[2,65,80],"images":[3,149,164],"have":[4],"serious":[5],"spots,":[6],"noise,":[7],"and":[8,23,41,103,120,154,159,171],"weak":[9],"borders":[10],"between":[11,101],"similar":[12],"tissues,":[13],"which":[14,77,92],"affect":[15],"the":[16,26,36,62,74,126,138,156,167,172,179],"accuracy":[17],"of":[18,20,39,150,162],"segmentation":[19],"human":[21],"organs":[22],"lesions":[24],"in":[25,125,129,142],"image":[27,81],"to":[28,60,96,111,131],"a":[29,49,88,98],"certain":[30],"extent.":[31],"These":[32],"problems":[33],"seriously":[34],"hinder":[35],"subjective":[37,168],"diagnosis":[38],"doctors":[40],"intelligent":[42],"healthcare":[43],"assisted":[44],"diagnosis.":[45],"In":[46],"this":[47,85,143],"paper,":[48],"super-resolution":[50,82],"approach":[51],"is":[52,71,78,109],"proposed":[53,69,141],"based":[54,72],"on":[55,73],"deep":[56,89],"learning":[57],"that":[58,137,178],"aims":[59],"upscale":[61],"prostate":[63],"transrectal":[64],"(TRUS)":[66],"image.":[67],"The":[68],"method":[70,86,140,181],"TRUS":[75],"dataset,":[76],"termed":[79],"(USSR).":[83],"Firstly,":[84],"comprises":[87],"residual":[90],"network":[91],"through":[93],"extracting":[94],"feature":[95],"learns":[97],"complex":[99],"mapping":[100],"low":[102],"high":[104],"projections.":[105],"Secondly,":[106],"skip":[107],"connection":[108],"introduced":[110],"enhance":[112],"shallow":[113],"information":[114,161],"transmission.":[115],"Thirdly,":[116],"some":[117],"typical":[118],"ideas":[119],"sub-pixel":[121],"convolution":[122],"are":[123],"adopted":[124],"upsample":[127],"part":[128],"order":[130],"ensure":[132],"reconstruction":[133,184],"speed.":[134],"Experiments":[135],"demonstrate":[136],"USSR":[139,180],"paper":[144],"can":[145],"reconstruct":[146,155],"high-resolution":[147],"different":[151],"scales":[152],"effectively,":[153],"internal":[157],"texture":[158],"edge":[160],"accurately.":[165],"Both":[166],"qualitative":[169],"results":[170,176],"objective":[173],"quantitative":[174],"evaluation":[175],"show":[177],"gives":[182],"good":[183],"performance.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
