{"id":"https://openalex.org/W4400188164","doi":"https://doi.org/10.1109/access.2024.3421279","title":"Diagnosis of Osteoporosis by Bone X-Ray Based on Non-Destructive Compression","display_name":"Diagnosis of Osteoporosis by Bone X-Ray Based on Non-Destructive Compression","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400188164","doi":"https://doi.org/10.1109/access.2024.3421279"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3421279","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3421279","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3421279","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100546328","display_name":"Chao Jiang","orcid":"https://orcid.org/0009-0002-8691-7559"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]},{"id":"https://openalex.org/I4210124018","display_name":"Traditional Chinese Medicine Hospital of Kunshan","ror":"https://ror.org/038dfxb83","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124018"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Jiang","raw_affiliation_strings":["Changshan County Hospital of Traditional Chinese Medicine, Quzhou, China"],"affiliations":[{"raw_affiliation_string":"Changshan County Hospital of Traditional Chinese Medicine, Quzhou, China","institution_ids":["https://openalex.org/I4210124018","https://openalex.org/I4210098460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113272374","display_name":"Yuqi Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124018","display_name":"Traditional Chinese Medicine Hospital of Kunshan","ror":"https://ror.org/038dfxb83","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124018"]},{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Cheng","raw_affiliation_strings":["Changshan County Hospital of Traditional Chinese Medicine, Quzhou, China"],"affiliations":[{"raw_affiliation_string":"Changshan County Hospital of Traditional Chinese Medicine, Quzhou, China","institution_ids":["https://openalex.org/I4210124018","https://openalex.org/I4210098460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104339977","display_name":"Baosheng Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124018","display_name":"Traditional Chinese Medicine Hospital of Kunshan","ror":"https://ror.org/038dfxb83","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124018"]},{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baosheng Cheng","raw_affiliation_strings":["Changshan County Hospital of Traditional Chinese Medicine, Quzhou, China"],"affiliations":[{"raw_affiliation_string":"Changshan County Hospital of Traditional Chinese Medicine, Quzhou, China","institution_ids":["https://openalex.org/I4210124018","https://openalex.org/I4210098460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100546328"],"corresponding_institution_ids":["https://openalex.org/I4210098460","https://openalex.org/I4210124018"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80411385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"93946","last_page":"93956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9901000261306763,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9901000261306763,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9503999948501587,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.773256778717041},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.7188016772270203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6890273094177246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5592597126960754},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.554291844367981},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5400053262710571},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.49347984790802},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.44870367646217346},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.4232773780822754},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41140228509902954},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3139166235923767},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30620867013931274},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10003435611724854}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.773256778717041},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.7188016772270203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6890273094177246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5592597126960754},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.554291844367981},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5400053262710571},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.49347984790802},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.44870367646217346},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.4232773780822754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41140228509902954},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3139166235923767},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30620867013931274},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10003435611724854},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3421279","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3421279","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:08e137e936ad4fe49f65e773cb814d96","is_oa":true,"landing_page_url":"https://doaj.org/article/08e137e936ad4fe49f65e773cb814d96","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 93946-93956 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3421279","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3421279","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2521595930","https://openalex.org/W4313046148","https://openalex.org/W2088378984","https://openalex.org/W2161981399","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W4210455546","https://openalex.org/W3080614128","https://openalex.org/W2569922886","https://openalex.org/W3112580190"],"abstract_inverted_index":{"X-ray":[0,54,111],"is":[1],"a":[2,46,74,81],"commonly":[3],"used":[4],"imaging":[5],"method":[6,163],"for":[7,53],"the":[8,22,60,95,107,138,144,148,155,167],"diagnosis":[9,29],"and":[10,30,34,67,80,100,143,157,175],"evaluation":[11],"of":[12,26,36,78,85,103,110,113,135,137,147,159,171],"osteoporosis,":[13,114],"which":[14],"has":[15],"crucial":[16],"clinical":[17],"diagnostic":[18],"significance.":[19],"To":[20],"ensure":[21],"high":[23],"fidelity":[24],"requirements":[25],"medical":[27,182],"image":[28,37,140,151],"achieve":[31],"high-quality":[32],"transmission":[33],"storage":[35],"data,":[38],"this":[39,92,115],"study":[40],"uses":[41],"deep":[42],"learning":[43],"to":[44,88],"design":[45],"dual":[47],"stream":[48],"lossless":[49,149,172],"compression":[50,66,83,108,173],"network":[51,62,93,116],"suitable":[52],"images.":[55,105],"The":[56,132,161],"results":[57],"demonstrated":[58],"that":[59],"designed":[61],"performed":[63],"well":[64],"in":[65,120,180],"bit":[68,76],"rates":[69],"on":[70],"different":[71,121],"datasets,":[72],"with":[73,125],"minimum":[75],"rate":[77,84],"0.204":[79],"maximum":[82],"0.946.":[86],"Compared":[87],"other":[89,118],"advanced":[90],"models,":[91],"had":[94],"highest":[96],"peak":[97],"signal-to-noise":[98],"ratio":[99],"lower":[101],"distortion":[102],"compressed":[104,139,150],"In":[106],"process":[109],"images":[112],"outperformed":[117],"models":[119],"structural":[122],"similarity":[123],"indices,":[124],"values":[126],"above":[127],"0.90,":[128],"showing":[129],"significant":[130],"advantages.":[131],"equivalent":[133],"number":[134],"views":[136],"reached":[141],"0.93,":[142],"visual":[145],"quality":[146],"was":[152],"high,":[153],"ensuring":[154],"efficiency":[156],"accuracy":[158],"diagnosis.":[160,183],"research":[162,169],"can":[164],"significantly":[165],"improve":[166],"theoretical":[168],"level":[170],"technology":[174],"enhance":[176],"its":[177],"practical":[178],"value":[179],"remote":[181]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
