{"id":"https://openalex.org/W3204314757","doi":"https://doi.org/10.1109/tii.2021.3117258","title":"An Image Importance Partition-Based Compression Method for COVID-19 Computed Tomography Scan","display_name":"An Image Importance Partition-Based Compression Method for COVID-19 Computed Tomography Scan","publication_year":2021,"publication_date":"2021-10-02","ids":{"openalex":"https://openalex.org/W3204314757","doi":"https://doi.org/10.1109/tii.2021.3117258","mag":"3204314757"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2021.3117258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3117258","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","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/A5018605759","display_name":"Yumo Zhang","orcid":"https://orcid.org/0000-0001-7905-8763"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yumo Zhang","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-7905-8763","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011596136","display_name":"Zhanchuan Cai","orcid":"https://orcid.org/0000-0002-6954-7691"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Zhanchuan Cai","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-6954-7691","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078413463","display_name":"Ben Haobin Ye","orcid":"https://orcid.org/0000-0001-5148-6117"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Ben Ye","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111950717"],"apc_list":null,"apc_paid":null,"fwci":0.0942,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39489283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"18","issue":"7","first_page":"4596","last_page":"4607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10862","display_name":"AI in cancer detection","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9940000176429749,"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":0.637735903263092},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.61371910572052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5787827968597412},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5539374947547913},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.529035747051239},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5232107639312744},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.44153356552124023},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.42449331283569336},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.41694408655166626},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.41021719574928284},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3255593180656433},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2457345724105835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637735903263092},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.61371910572052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5787827968597412},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5539374947547913},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.529035747051239},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5232107639312744},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.44153356552124023},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.42449331283569336},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.41694408655166626},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.41021719574928284},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3255593180656433},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2457345724105835}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2021.3117258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3117258","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1786272419","display_name":null,"funder_award_id":"0059/2020/A2","funder_id":"https://openalex.org/F4320321655","funder_display_name":"Science and Technology Development Fund"},{"id":"https://openalex.org/G3012394791","display_name":null,"funder_award_id":"0052/2020/AFJ","funder_id":"https://openalex.org/F4320321655","funder_display_name":"Science and Technology Development Fund"},{"id":"https://openalex.org/G797554231","display_name":null,"funder_award_id":"2011CB302400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8074933934","display_name":null,"funder_award_id":"OFSLRSS201901","funder_id":"https://openalex.org/F4320326981","funder_display_name":"State Key Laboratory of Remote Sensing Science"},{"id":"https://openalex.org/G8777501822","display_name":null,"funder_award_id":"VRLAB2019C02","funder_id":"https://openalex.org/F4320321125","funder_display_name":"Beihang University"}],"funders":[{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"},{"id":"https://openalex.org/F4320326839","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":null},{"id":"https://openalex.org/F4320326981","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1989171251","https://openalex.org/W2015606516","https://openalex.org/W2056061164","https://openalex.org/W2070960305","https://openalex.org/W2099563019","https://openalex.org/W2140196014","https://openalex.org/W2146395539","https://openalex.org/W2387697353","https://openalex.org/W2911590151","https://openalex.org/W2941934710","https://openalex.org/W2999283151","https://openalex.org/W3006110666","https://openalex.org/W3008627141","https://openalex.org/W3010381061","https://openalex.org/W3023918415","https://openalex.org/W3043358486","https://openalex.org/W3044486431","https://openalex.org/W3044812225","https://openalex.org/W3118483863","https://openalex.org/W3122423389","https://openalex.org/W3126292733","https://openalex.org/W3126956414"],"related_works":["https://openalex.org/W2466816617","https://openalex.org/W1970834875","https://openalex.org/W842936808","https://openalex.org/W3174028392","https://openalex.org/W2000517284","https://openalex.org/W2365318811","https://openalex.org/W2136503713","https://openalex.org/W2375330620","https://openalex.org/W1492958138","https://openalex.org/W2011867735"],"abstract_inverted_index":{"As":[0],"the":[1,8,82,90,94,114,146,151,153,161,169,176,201,206,216],"coronavirus":[2],"disease":[3,190],"2019":[4],"(COVID-19)":[5],"spreads":[6],"around":[7],"world,":[9],"industrial":[10],"automated":[11],"medical":[12,24],"diagnosis":[13,25,191],"systems":[14],"have":[15,77],"been":[16],"developed,":[17],"which":[18],"complete":[19],"a":[20,42,56,100,126,139],"large":[21,43],"amount":[22,44],"of":[23,45,93,96,108,116,128,160,200,205],"work":[26],"through":[27],"computed":[28],"tomography":[29],"(CT)":[30],"images.":[31],"In":[32,53,150,197],"these":[33],"systems,":[34],"how":[35],"to":[36,66,88,113,158],"quickly":[37],"store":[38],"and":[39,121],"transmit":[40],"such":[41],"CT":[46,61,101,119,183,217],"image":[47,62,68,79,102,110,177],"information":[48,92],"has":[49],"important":[50],"research":[51],"significance.":[52],"this":[54],"article,":[55],"more":[57,134,212],"targeted":[58],"COVID-19":[59,117],"chest":[60,118,182],"codec":[63],"is":[64,103,143,156],"proposed":[65,132,144,154,207],"make":[67],"data":[69],"not":[70],"only":[71],"occupy":[72],"less":[73,195],"space":[74],"but":[75],"also":[76],"higher":[78],"quality.":[80,178],"First,":[81],"bilateral":[83],"lung":[84],"contours":[85],"are":[86,131],"extracted":[87],"calculate":[89],"position":[91,123],"region":[95],"interest":[97],"(ROI).":[98],"Then,":[99],"classified":[104],"into":[105,215],"four":[106],"types":[107],"nonuniform":[109],"blocks":[111],"according":[112],"characteristics":[115],"images":[120,184],"ROI":[122],"information.":[124],"Next,":[125],"series":[127],"new":[129],"transformations":[130],"for":[133,145,189],"efficient":[135],"transform":[136],"coding.":[137],"Finally,":[138],"flexible":[140],"quantization":[141,148],"strategy":[142],"adaptive":[147],"part.":[149],"experiments,":[152],"method":[155],"superior":[157],"some":[159],"existing":[162],"methods":[163],"with":[164,219],"similar":[165],"computational":[166,203,221],"complexity.":[167],"At":[168],"same":[170],"bit":[171],"rate,":[172],"it":[173,209],"significantly":[174],"improves":[175],"This":[179],"means":[180],"that":[181],"can":[185,210],"still":[186],"be":[187,211],"used":[188],"while":[192],"taking":[193],"up":[194],"space.":[196],"addition,":[198],"because":[199],"low":[202,220],"complexity":[204],"method,":[208],"easily":[213],"embedded":[214],"equipment":[218],"power.":[222]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}