{"id":"https://openalex.org/W4406458346","doi":"https://doi.org/10.1109/bigdata62323.2024.10825078","title":"Evaluating Lossy and Lossless Compression for DICOM Medical Files","display_name":"Evaluating Lossy and Lossless Compression for DICOM Medical Files","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458346","doi":"https://doi.org/10.1109/bigdata62323.2024.10825078"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5024428972","display_name":"Yizhe Yang","orcid":"https://orcid.org/0000-0002-8267-1347"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yizhe Yang","raw_affiliation_strings":["Clemson University,Clemson,South Carolina,USA"],"affiliations":[{"raw_affiliation_string":"Clemson University,Clemson,South Carolina,USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115904496","display_name":"Carson D. Sisk","orcid":null},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carson D. Sisk","raw_affiliation_strings":["Clemson University,Clemson,South Carolina,USA"],"affiliations":[{"raw_affiliation_string":"Clemson University,Clemson,South Carolina,USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003772863","display_name":"Jon C. Calhoun","orcid":"https://orcid.org/0000-0001-7191-4422"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jon C. Calhoun","raw_affiliation_strings":["Clemson University,Clemson,South Carolina,USA"],"affiliations":[{"raw_affiliation_string":"Clemson University,Clemson,South Carolina,USA","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024428972"],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26256368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4517","last_page":"4523"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9919000267982483,"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":0.9919000267982483,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9692000150680542,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.8977129459381104},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.8659696578979492},{"id":"https://openalex.org/keywords/dicom","display_name":"DICOM","score":0.8243904113769531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7031278014183044},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5956616401672363},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5612025856971741},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.43368375301361084},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2355223298072815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16321763396263123},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0647284984588623}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8977129459381104},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8659696578979492},{"id":"https://openalex.org/C77331912","wikidata":"https://www.wikidata.org/wiki/Q81095","display_name":"DICOM","level":2,"score":0.8243904113769531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031278014183044},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5956616401672363},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5612025856971741},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.43368375301361084},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2355223298072815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16321763396263123},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0647284984588623},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1588594383","https://openalex.org/W1743861851","https://openalex.org/W2052440657","https://openalex.org/W2106366262","https://openalex.org/W2134053106","https://openalex.org/W2140196014","https://openalex.org/W2141810485","https://openalex.org/W2145423090","https://openalex.org/W2414400274","https://openalex.org/W2765756720","https://openalex.org/W2912174957","https://openalex.org/W2919180742","https://openalex.org/W4200044278","https://openalex.org/W4226076355","https://openalex.org/W4372348991","https://openalex.org/W4388581223"],"related_works":["https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W3180760233","https://openalex.org/W3035703949","https://openalex.org/W4247601675","https://openalex.org/W1970394887","https://openalex.org/W755971114","https://openalex.org/W2118338613","https://openalex.org/W1982468865","https://openalex.org/W4210455546"],"abstract_inverted_index":{"Digital":[0],"Imaging":[1],"and":[2,15,32,69,81,94,122],"Communications":[3],"in":[4],"Medicine":[5],"(DICOM)":[6],"is":[7,111,132],"a":[8],"widely":[9],"used":[10],"standard":[11],"for":[12,30],"handling,":[13],"storing,":[14],"sharing":[16],"medical":[17],"images.":[18],"However,":[19],"the":[20,43,46,60,83,103],"large":[21],"file":[22],"sizes":[23],"associated":[24],"with":[25,116],"DICOM":[26,63,74],"data":[27,33,47],"pose":[28],"challenges":[29,40],"storage":[31],"transfer.":[34],"Data":[35],"reduction":[36],"helps":[37],"mitigate":[38],"these":[39,86],"by":[41],"reducing":[42],"size":[44,61],"of":[45,62,85],"while":[48,129],"maintaining":[49],"its":[50],"integrity.":[51],"This":[52,76],"paper":[53],"examines":[54],"various":[55],"compression":[56,92,106,125],"methods":[57],"to":[58,79,101,113],"reduce":[59],"files.":[64],"We":[65],"evaluate":[66,82],"5":[67],"lossless":[68],"4":[70],"lossy":[71],"compressors":[72],"on":[73],"data.":[75],"study":[77],"aims":[78],"compare":[80],"performance":[84],"compressors.":[87],"By":[88],"analyzing":[89],"each":[90],"compressor\u2019s":[91],"efficiency":[93],"produced":[95],"image":[96],"fidelity,":[97],"this":[98],"research":[99],"seeks":[100],"determine":[102],"most":[104],"effective":[105],"strategy.":[107],"Results":[108],"show":[109],"SZ3":[110],"able":[112],"achieve":[114],"183.74\u00d7":[115],"error":[117,130],"bound":[118,131],"1e<sup":[119,133],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[120,134],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u22127</sup>":[121],"ZFP":[123],"received":[124],"bandwidth":[126],"303.82":[127],"MB/s":[128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u22127</sup>.":[135]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}