{"id":"https://openalex.org/W3199708578","doi":"https://doi.org/10.1631/fitee.2000234","title":"Learning-based parameter prediction for quality control in three-dimensional medical image compression","display_name":"Learning-based parameter prediction for quality control in three-dimensional medical image compression","publication_year":2021,"publication_date":"2021-09-01","ids":{"openalex":"https://openalex.org/W3199708578","doi":"https://doi.org/10.1631/fitee.2000234","mag":"3199708578"},"language":"en","primary_location":{"id":"doi:10.1631/fitee.2000234","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.2000234","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","raw_type":"journal-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/A5025965660","display_name":"Yuxuan Hou","orcid":"https://orcid.org/0000-0002-0880-6418"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxuan Hou","raw_affiliation_strings":["State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China","State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310058, China"],"raw_orcid":"https://orcid.org/0000-0002-0880-6418","affiliations":[{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310058, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102871117","display_name":"Zhong Ren","orcid":"https://orcid.org/0000-0002-6798-3035"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhong Ren","raw_affiliation_strings":["State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China","State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310058, China"],"raw_orcid":"https://orcid.org/0000-0002-6798-3035","affiliations":[{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310058, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101795131","display_name":"Yubo Tao","orcid":"https://orcid.org/0000-0002-2283-6437"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubo Tao","raw_affiliation_strings":["State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China","State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310058, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100742586","display_name":"Chen Wei","orcid":"https://orcid.org/0000-0002-1888-3783"},"institutions":[{"id":"https://openalex.org/I4210166576","display_name":"First Affiliated Hospital Zhejiang University","ror":"https://ror.org/05m1p5x56","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210166576"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["The First Affiliated Hospital, Zhejiang University, Hangzhou, China","The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210166576"]},{"raw_affiliation_string":"The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China","institution_ids":["https://openalex.org/I4210166576"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025965660","https://openalex.org/A5102871117"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.1884,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.48446762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"22","issue":"9","first_page":"1169","last_page":"1178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9973000288009644,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9955000281333923,"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":0.7725526094436646},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5940639972686768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5683856010437012},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5374385118484497},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5250137448310852},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.502265453338623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49834299087524414},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4936126470565796},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45161062479019165},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4472202658653259},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4163419008255005},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4150845408439636},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3659232258796692},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32106906175613403},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28038597106933594},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.17277497053146362},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13138705492019653},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07589656114578247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7725526094436646},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5940639972686768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5683856010437012},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5374385118484497},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5250137448310852},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.502265453338623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49834299087524414},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4936126470565796},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45161062479019165},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4472202658653259},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4163419008255005},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4150845408439636},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3659232258796692},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32106906175613403},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28038597106933594},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17277497053146362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13138705492019653},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07589656114578247},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1631/fitee.2000234","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.2000234","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1974504599","https://openalex.org/W2003836175","https://openalex.org/W2044465660","https://openalex.org/W2063170708","https://openalex.org/W2069816479","https://openalex.org/W2081614366","https://openalex.org/W2083927153","https://openalex.org/W2114770744","https://openalex.org/W2125359668","https://openalex.org/W2132135004","https://openalex.org/W2134809980","https://openalex.org/W2137190664","https://openalex.org/W2142276208","https://openalex.org/W2156134019","https://openalex.org/W2156853977","https://openalex.org/W2161920802","https://openalex.org/W2169113461","https://openalex.org/W2550441606","https://openalex.org/W2766934651","https://openalex.org/W2891408559","https://openalex.org/W2936017994","https://openalex.org/W3104453872"],"related_works":["https://openalex.org/W2141705618","https://openalex.org/W2348964713","https://openalex.org/W1953469620","https://openalex.org/W4310608238","https://openalex.org/W2113807068","https://openalex.org/W2129693240","https://openalex.org/W2196006317","https://openalex.org/W2153592792","https://openalex.org/W2095561293","https://openalex.org/W2082897291"],"abstract_inverted_index":{"Quality":[0],"control":[1,144],"is":[2,87,97],"of":[3,52,99],"vital":[4],"importance":[5],"in":[6,46,56,128],"compressing":[7],"three-dimensional":[8],"(3D)":[9],"medical":[10,63],"imaging":[11],"data.":[12],"Optimal":[13],"compression":[14,36,65],"parameters":[15,60],"need":[16],"to":[17,80],"be":[18],"determined":[19],"based":[20,93],"on":[21,133],"the":[22,34,38,58,101],"specific":[23],"quality":[24,83,143],"requirement.":[25],"In":[26,70],"high":[27],"efficiency":[28],"video":[29],"coding":[30],"(HEVC),":[31],"regarded":[32],"as":[33,120],"state-of-the-art":[35],"tool,":[37],"quantization":[39],"parameter":[40,77],"(QP)":[41],"plays":[42],"a":[43,53,75,88],"dominant":[44],"role":[45],"controlling":[47],"quality.":[48],"The":[49],"direct":[50],"application":[51],"video-based":[54,106,142],"scheme":[55,79],"predicting":[57,100],"ideal":[59],"for":[61],"3D":[62],"image":[64,109],"cannot":[66],"guarantee":[67],"satisfactory":[68],"results.":[69],"this":[71],"paper":[72],"we":[73],"propose":[74],"learning-based":[76],"prediction":[78],"achieve":[81],"efficient":[82],"control.":[84],"Its":[85],"kernel":[86],"support":[89],"vector":[90],"regression":[91],"(SVR)":[92],"learning":[94],"model":[95],"that":[96,137],"capable":[98],"optimal":[102],"QP":[103],"from":[104,113],"both":[105],"and":[107,122],"structural":[108],"features":[110],"extracted":[111],"directly":[112],"raw":[114],"data,":[115],"avoiding":[116],"time-consuming":[117],"processes":[118],"such":[119],"pre-encoding":[121],"iteration,":[123],"which":[124],"are":[125],"often":[126],"needed":[127],"existing":[129],"techniques.":[130],"Experimental":[131],"results":[132],"several":[134],"datasets":[135],"verify":[136],"our":[138],"approach":[139],"outperforms":[140],"current":[141],"methods.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}