{"id":"https://openalex.org/W2203080751","doi":"https://doi.org/10.1109/ipta.2015.7367153","title":"Osteoporosis diagnosis using steerable pyramid decomposition and fractional Brownian motion","display_name":"Osteoporosis diagnosis using steerable pyramid decomposition and fractional Brownian motion","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2203080751","doi":"https://doi.org/10.1109/ipta.2015.7367153","mag":"2203080751"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2015.7367153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2015.7367153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023564337","display_name":"Abdessamad Tafraouti","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdessamad Tafraouti","raw_affiliation_strings":["LRIT, University of Mohammed V, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRIT, University of Mohammed V, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046609840","display_name":"Mohammed El Hassouni","orcid":"https://orcid.org/0000-0002-6741-4799"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohammed El Hassouni","raw_affiliation_strings":["LRIT, University of Mohammed V, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRIT, University of Mohammed V, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090270022","display_name":"Hechmi Toumi","orcid":"https://orcid.org/0000-0003-4589-7731"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hechmi Toumi","raw_affiliation_strings":["Univ. Orl\u00e9ans, CHR-Orl\u00e9ans, Orl\u00e9ans, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Orl\u00e9ans, CHR-Orl\u00e9ans, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010199500","display_name":"\u00c9ric Lespessailles","orcid":"https://orcid.org/0000-0003-1009-8518"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Lespessailles","raw_affiliation_strings":["Univ. Orl\u00e9ans, CHR-Orl\u00e9ans, Orl\u00e9ans, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Orl\u00e9ans, CHR-Orl\u00e9ans, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037286514","display_name":"Rachid Jennane","orcid":"https://orcid.org/0000-0002-8032-8035"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Rachid Jennane","raw_affiliation_strings":["Univ. Orl\u00e9ans, I3MTO Laboratory, Orl\u00e9ans, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Orl\u00e9ans, I3MTO Laboratory, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1984,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77453721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9959999918937683,"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"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9959999918937683,"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"}},{"id":"https://openalex.org/T10071","display_name":"Bone health and osteoporosis research","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9815000295639038,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6445845365524292},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.640415370464325},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6265535950660706},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6206992864608765},{"id":"https://openalex.org/keywords/osteoporosis","display_name":"Osteoporosis","score":0.5928325653076172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5694762468338013},{"id":"https://openalex.org/keywords/fractional-brownian-motion","display_name":"Fractional Brownian motion","score":0.565802276134491},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48543864488601685},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4577954411506653},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.43010973930358887},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.42958125472068787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39690065383911133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.381295382976532},{"id":"https://openalex.org/keywords/brownian-motion","display_name":"Brownian motion","score":0.2832128405570984},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2556999921798706},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18416821956634521},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14211884140968323},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.13355520367622375}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6445845365524292},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.640415370464325},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6265535950660706},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6206992864608765},{"id":"https://openalex.org/C2776541429","wikidata":"https://www.wikidata.org/wiki/Q165328","display_name":"Osteoporosis","level":2,"score":0.5928325653076172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5694762468338013},{"id":"https://openalex.org/C108819105","wikidata":"https://www.wikidata.org/wiki/Q1143293","display_name":"Fractional Brownian motion","level":3,"score":0.565802276134491},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48543864488601685},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4577954411506653},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.43010973930358887},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.42958125472068787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39690065383911133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.381295382976532},{"id":"https://openalex.org/C112401455","wikidata":"https://www.wikidata.org/wiki/Q178036","display_name":"Brownian motion","level":2,"score":0.2832128405570984},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2556999921798706},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18416821956634521},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14211884140968323},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.13355520367622375},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2015.7367153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2015.7367153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W175660244","https://openalex.org/W1490632837","https://openalex.org/W1563088657","https://openalex.org/W1603616583","https://openalex.org/W1972760573","https://openalex.org/W1978258606","https://openalex.org/W1997927852","https://openalex.org/W2000274396","https://openalex.org/W2010016922","https://openalex.org/W2028997586","https://openalex.org/W2031753087","https://openalex.org/W2032336008","https://openalex.org/W2032911023","https://openalex.org/W2043173401","https://openalex.org/W2069235103","https://openalex.org/W2075901203","https://openalex.org/W2087099448","https://openalex.org/W2107790757","https://openalex.org/W2169950313","https://openalex.org/W2324838518"],"related_works":["https://openalex.org/W2013332237","https://openalex.org/W2373202200","https://openalex.org/W1522259561","https://openalex.org/W4390048237","https://openalex.org/W1573173092","https://openalex.org/W2753870633","https://openalex.org/W3021897514","https://openalex.org/W2295517574","https://openalex.org/W4249847449","https://openalex.org/W3136093414"],"abstract_inverted_index":{"Osteoporosis":[0,67],"is":[1,19],"a":[2,7,39,86],"skeletal":[3],"disease":[4,24],"characterized":[5],"by":[6,43],"decrease":[8],"in":[9],"bone":[10],"mass":[11],"and":[12,32],"density.":[13],"The":[14,35],"objective":[15],"of":[16,22,46,94],"this":[17],"paper":[18],"the":[20,66,76],"diagnosis":[21,88],"osteoporosis":[23],"based":[25],"on":[26,38],"X-Ray":[27,47],"images":[28,48],"using":[29,51,59],"Wavelet":[30,44],"decomposition":[31,45],"fractal":[33],"analysis.":[34,63],"method":[36,84],"lies":[37],"preprocessing":[40],"phase":[41],"followed":[42],"into":[49],"sub-bands":[50],"steerable":[52],"pyramid":[53],"decomposition.":[54],"Features":[55],"are":[56],"then":[57],"extracted":[58],"fractional":[60],"Brownian":[61],"motion":[62],"To":[64],"separate":[65],"population":[68],"(OP)":[69],"from":[70],"Control":[71],"cases":[72],"(CT),":[73],"we":[74],"use":[75],"Support":[77],"vector":[78],"machines":[79],"(SVM)":[80],"classifier.":[81],"Our":[82],"proposed":[83],"shows":[85],"good":[87],"quality":[89],"achieving":[90],"an":[91],"accuracy":[92],"rate":[93],"93%.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
