{"id":"https://openalex.org/W3092540331","doi":"https://doi.org/10.1109/icpr48806.2021.9413341","title":"MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM)","display_name":"MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM)","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3092540331","doi":"https://doi.org/10.1109/icpr48806.2021.9413341","mag":"3092540331"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://durham-repository.worktribe.com/output/1135583","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029043553","display_name":"Omniah H. Nagoor","orcid":"https://orcid.org/0000-0002-6329-1293"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"O. H. Nagoor","raw_affiliation_strings":["Swansea University, Swansea, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swansea University, Swansea, UK","institution_ids":["https://openalex.org/I39586589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077453798","display_name":"Joss Whittle","orcid":"https://orcid.org/0000-0002-4147-7185"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"J. Whittle","raw_affiliation_strings":["Swansea University, Swansea, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swansea University, Swansea, UK","institution_ids":["https://openalex.org/I39586589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082317295","display_name":"Jingjing Deng","orcid":"https://orcid.org/0000-0001-9274-651X"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"J. Deng","raw_affiliation_strings":["Swansea University, Swansea, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swansea University, Swansea, UK","institution_ids":["https://openalex.org/I39586589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028768474","display_name":"Benjamin Mora","orcid":"https://orcid.org/0000-0002-2945-3519"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"B. Mora","raw_affiliation_strings":["Swansea University, Swansea, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swansea University, Swansea, UK","institution_ids":["https://openalex.org/I39586589"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028781666","display_name":"Mark W. Jones","orcid":"https://orcid.org/0000-0001-8991-1190"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M. W. Jones","raw_affiliation_strings":["Swansea University, Swansea, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swansea University, Swansea, UK","institution_ids":["https://openalex.org/I39586589"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39586589"],"apc_list":null,"apc_paid":null,"fwci":0.7638,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79936123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"2874","last_page":"2881"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9973999857902527,"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/lossless-compression","display_name":"Lossless compression","score":0.8650915622711182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7977567911148071},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6807590126991272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6374800205230713},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.6240843534469604},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6066477298736572},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.564922571182251},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5540974736213684},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5413557887077332},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4634641706943512},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4526023268699646},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.44338247179985046},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4239610433578491},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3048056364059448},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.17449131608009338},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14890339970588684}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8650915622711182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7977567911148071},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6807590126991272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6374800205230713},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.6240843534469604},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6066477298736572},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.564922571182251},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5540974736213684},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5413557887077332},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4634641706943512},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4526023268699646},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.44338247179985046},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4239610433578491},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3048056364059448},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17449131608009338},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14890339970588684}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:cronfa.swan.ac.uk:cronfa55395","is_oa":false,"landing_page_url":"https://cronfa.swan.ac.uk/Record/cronfa55395","pdf_url":null,"source":{"id":"https://openalex.org/S4306401612","display_name":"Cronfa (Swansea University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39586589","host_organization_name":"Swansea University","host_organization_lineage":["https://openalex.org/I39586589"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper/Proceeding/Abstract"},{"id":"pmh:oai:durham-repository.worktribe.com:1135583","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1135583","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"}],"best_oa_location":{"id":"pmh:oai:durham-repository.worktribe.com:1135583","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1135583","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1506806321","https://openalex.org/W1597794713","https://openalex.org/W1924770834","https://openalex.org/W2064675550","https://openalex.org/W2083927153","https://openalex.org/W2118217749","https://openalex.org/W2120089534","https://openalex.org/W2144052068","https://openalex.org/W2146395539","https://openalex.org/W2153638435","https://openalex.org/W2154662452","https://openalex.org/W2170023599","https://openalex.org/W2171033838","https://openalex.org/W2245520837","https://openalex.org/W2267126114","https://openalex.org/W2399289909","https://openalex.org/W2423557781","https://openalex.org/W2593493485","https://openalex.org/W2622458132","https://openalex.org/W2785562966","https://openalex.org/W2789561488","https://openalex.org/W2891212213","https://openalex.org/W2896457183","https://openalex.org/W2901266734","https://openalex.org/W2905634902","https://openalex.org/W2945490368","https://openalex.org/W2953318193","https://openalex.org/W2954655735","https://openalex.org/W2962750131","https://openalex.org/W2962790638","https://openalex.org/W2963149687","https://openalex.org/W2963341956","https://openalex.org/W2963636093","https://openalex.org/W2963940468","https://openalex.org/W2963948038","https://openalex.org/W2964098744","https://openalex.org/W2964122153","https://openalex.org/W2972699210","https://openalex.org/W3134748538","https://openalex.org/W4294567867","https://openalex.org/W4297659253","https://openalex.org/W6607333740","https://openalex.org/W6635680565","https://openalex.org/W6681349680","https://openalex.org/W6694251005","https://openalex.org/W6712531178","https://openalex.org/W6734035190","https://openalex.org/W6734831415","https://openalex.org/W6754669699","https://openalex.org/W6755207826","https://openalex.org/W6756397676","https://openalex.org/W6756754865","https://openalex.org/W6762805079","https://openalex.org/W6763509872"],"related_works":["https://openalex.org/W2150911988","https://openalex.org/W2169405113","https://openalex.org/W1492111281","https://openalex.org/W2058779540","https://openalex.org/W2392367922","https://openalex.org/W1972339736","https://openalex.org/W2183844610","https://openalex.org/W1535003955","https://openalex.org/W272441526","https://openalex.org/W2390898553"],"abstract_inverted_index":{"As":[0],"scanners":[1],"produce":[2],"higher-resolution":[3],"and":[4,17,123,138],"more":[5],"densely":[6],"sampled":[7],"images,":[8],"this":[9,151],"raises":[10],"the":[11,23,74,78,91,113,129,141,146,153],"challenge":[12],"of":[13,25,77,148],"data":[14],"storage,":[15],"transmission":[16],"communication":[18],"within":[19],"healthcare":[20],"systems.":[21],"Since":[22],"quality":[24],"medical":[26,35,166],"images":[27],"plays":[28],"a":[29,52,58,64,104],"crucial":[30],"role":[31],"in":[32,81],"diagnosis":[33],"accuracy,":[34],"imaging":[36],"compression":[37,54,106,116,143,156],"techniques":[38],"are":[39],"desired":[40],"to":[41,72,112,134],"reduce":[42],"scan":[43],"bitrate":[44],"while":[45],"guaranteeing":[46],"lossless":[47,53,115,142,155],"reconstruction.":[48],"This":[49],"paper":[50],"presents":[51],"method":[55,102,131,157],"that":[56,100,128,158],"integrates":[57],"Recurrent":[59],"Neural":[60],"Network":[61],"(RNN)":[62],"as":[63],"3D":[65,82],"sequence":[66],"prediction":[67],"model.":[68],"The":[69],"aim":[70],"is":[71,152],"learn":[73],"long":[75],"dependencies":[76],"voxel's":[79],"neighbourhood":[80],"using":[83,94],"Long":[84],"Short-Term":[85],"Memory":[86],"(LSTM)":[87],"network":[88,162],"then":[89],"compress":[90],"residual":[92],"error":[93],"arithmetic":[95],"coding.":[96],"Experiential":[97],"results":[98],"reveal":[99],"our":[101,149],"obtains":[103],"higher":[105],"ratio":[107],"achieving":[108],"15%":[109],"saving":[110],"compared":[111],"state-of-the-art":[114],"standards,":[117],"including":[118],"JPEG-LS,":[119],"JPEG2000,":[120],"JP3D,":[121],"HEVC,":[122],"PPMd.":[124],"Our":[125],"evaluation":[126],"demonstrates":[127],"proposed":[130],"generalizes":[132],"well":[133],"unseen":[135],"modalities":[136],"CT":[137],"MRI":[139],"for":[140,163],"scheme.":[144],"To":[145],"best":[147],"knowledge,":[150],"first":[154],"uses":[159],"LSTM":[160],"neural":[161],"16-bit":[164],"volumetric":[165],"image":[167],"compression.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
