{"id":"https://openalex.org/W2112609352","doi":"https://doi.org/10.1109/ijcnn.2007.4371348","title":"A Novel Automatic Framework for Scoliosis X-Ray Image Retrieval","display_name":"A Novel Automatic Framework for Scoliosis X-Ray Image Retrieval","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2112609352","doi":"https://doi.org/10.1109/ijcnn.2007.4371348","mag":"2112609352"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371348","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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/A5101327111","display_name":"Zhiping Xu","orcid":"https://orcid.org/0000-0002-8297-5658"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiping Xu","raw_affiliation_strings":["Department of Computing and Information Technology, Fudan University, Shanghai, China","*Fudan University, Shanghai"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"*Fudan University, Shanghai","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003689755","display_name":"Jinhong Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhong Pan","raw_affiliation_strings":["Department of Computing and Information Technology, Fudan University, Shanghai, China","*Fudan University, Shanghai"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"*Fudan University, Shanghai","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058790794","display_name":"Shiyong Zhang","orcid":"https://orcid.org/0000-0001-7633-358X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyong Zhang","raw_affiliation_strings":["Department of Computing and Information Technology, Fudan University, Shanghai, China","*Fudan University, Shanghai"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"*Fudan University, Shanghai","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101327111"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.439,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.53762828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"134","issue":null,"first_page":"2482","last_page":"2485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9898999929428101,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7108235955238342},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6419600248336792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5912526845932007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5621689558029175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5574373602867126},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5526474714279175},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5347384810447693},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5177561640739441},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4638827443122864},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.46375682950019836},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4490434229373932},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4486373960971832},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.44746217131614685},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.41858458518981934},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3607262969017029}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7108235955238342},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6419600248336792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5912526845932007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5621689558029175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5574373602867126},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5526474714279175},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5347384810447693},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5177561640739441},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4638827443122864},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.46375682950019836},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4490434229373932},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4486373960971832},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.44746217131614685},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.41858458518981934},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3607262969017029},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371348","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W859380157","https://openalex.org/W1518810488","https://openalex.org/W1966123133","https://openalex.org/W2028521581","https://openalex.org/W2044465660"],"related_works":["https://openalex.org/W4360784979","https://openalex.org/W2204605857","https://openalex.org/W1996489018","https://openalex.org/W2120981610","https://openalex.org/W2007664797","https://openalex.org/W3129669851","https://openalex.org/W3017192027","https://openalex.org/W2153517464","https://openalex.org/W2951798667","https://openalex.org/W2493967237"],"abstract_inverted_index":{"The":[0,38,57,87,118],"paper":[1],"proposed":[2],"a":[3],"novel":[4],"automatic":[5],"scoliosis":[6],"X-ray":[7,131],"image":[8,103,132],"retrieval":[9],"framework":[10,123],"based":[11,41,105],"on":[12,42,54,106],"the":[13,24,30,43,48,55,66,70,91,102,107,115,122,128],"global":[14],"statistical":[15,44],"feature":[16,27,45,89],"of":[17,29,34,65,94,114],"edge,":[18],"edge":[19,49],"co-occurrence":[20],"matrix":[21],"(ECM)":[22],"and":[23],"local":[25],"geometrical":[26,88],"set":[28],"whole":[31],"spine,":[32],"angle":[33,93],"each":[35,95],"spine":[36,96],"curve.":[37],"ECM":[39,67],"is":[40,112],"attained":[46],"from":[47,60,101],"detection":[50],"operators":[51],"which":[52,111],"applied":[53],"image.":[56],"eigenvectors":[58],"obtained":[59],"principle":[61],"component":[62],"analysis":[63],"(PCA)":[64],"can":[68],"preserve":[69],"high":[71],"spatial":[72],"frequencies":[73],"components,":[74],"so":[75],"they":[76],"are":[77],"well":[78,83],"suited":[79],"for":[80,127],"shape":[81],"as":[82,84],"texture":[85],"representation.":[86],"like":[90],"Cobb's":[92],"curve":[97],"could":[98],"be":[99],"derived":[100],"segmentation":[104],"Intersecting":[108],"Cortical":[109],"Model,":[110],"elicitation":[113],"Eckhorn's":[116],"model.":[117],"experiment":[119],"shows":[120,124],"that":[121],"good":[125],"accuracy":[126],"input":[129],"query":[130],"in":[133],"our":[134],"work.":[135]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
