{"id":"https://openalex.org/W2294988294","doi":"https://doi.org/10.1109/icip.2015.7351116","title":"Novel features for microcalcification detection in digital mammogram images based on wavelet and statistical analysis","display_name":"Novel features for microcalcification detection in digital mammogram images based on wavelet and statistical analysis","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2294988294","doi":"https://doi.org/10.1109/icip.2015.7351116","mag":"2294988294"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5027821813","display_name":"Aya Khalaf","orcid":"https://orcid.org/0000-0002-3736-580X"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Aya F. Khalaf","raw_affiliation_strings":["Systems and Biomedical Engineering Department, Cairo University"],"affiliations":[{"raw_affiliation_string":"Systems and Biomedical Engineering Department, Cairo University","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028367824","display_name":"Inas A. Yassine","orcid":"https://orcid.org/0000-0003-1268-1555"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Inas A. Yassine","raw_affiliation_strings":["Systems and Biomedical Engineering Department, Cairo University"],"affiliations":[{"raw_affiliation_string":"Systems and Biomedical Engineering Department, Cairo University","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027821813"],"corresponding_institution_ids":["https://openalex.org/I145487455"],"apc_list":null,"apc_paid":null,"fwci":0.8629,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83487728,"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":"1825","last_page":"1829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.989799976348877,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9897000193595886,"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":0.7329037189483643},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6625416874885559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6191288232803345},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5926336646080017},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5844189524650574},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5837827920913696},{"id":"https://openalex.org/keywords/microcalcification","display_name":"Microcalcification","score":0.5709890723228455},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5461390018463135},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.54543536901474},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5232868790626526},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4275122582912445},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3817700147628784},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3429073095321655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2593045234680176},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.24152016639709473},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.171176016330719}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7329037189483643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6625416874885559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6191288232803345},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5926336646080017},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5844189524650574},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5837827920913696},{"id":"https://openalex.org/C2781129008","wikidata":"https://www.wikidata.org/wiki/Q1933877","display_name":"Microcalcification","level":5,"score":0.5709890723228455},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5461390018463135},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.54543536901474},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5232868790626526},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4275122582912445},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3817700147628784},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3429073095321655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2593045234680176},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.24152016639709473},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.171176016330719},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6299999952316284,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1509682840","https://openalex.org/W1598382868","https://openalex.org/W2020781433","https://openalex.org/W2047266047","https://openalex.org/W2056555375","https://openalex.org/W2098429516","https://openalex.org/W2108394857","https://openalex.org/W2134198411","https://openalex.org/W2156909104","https://openalex.org/W2169666080","https://openalex.org/W2172182746","https://openalex.org/W6630464107","https://openalex.org/W6949461180"],"related_works":["https://openalex.org/W2380372197","https://openalex.org/W68308810","https://openalex.org/W2053682625","https://openalex.org/W1986475093","https://openalex.org/W2085792030","https://openalex.org/W2076239227","https://openalex.org/W2754441293","https://openalex.org/W1506615375","https://openalex.org/W2144408025","https://openalex.org/W1917032666"],"abstract_inverted_index":{"Computer":[0],"Aided":[1],"Diagnosis":[2],"(CAD)":[3],"systems":[4],"play":[5],"an":[6],"important":[7],"role":[8],"in":[9],"early":[10],"detection":[11,30],"of":[12,31,77],"breast":[13],"cancer.":[14],"In":[15],"this":[16],"study,":[17],"we":[18],"propose":[19],"a":[20,25],"CAD":[21],"system":[22,93],"based":[23,62],"on":[24],"novel":[26],"feature":[27],"set":[28],"for":[29,42,68,73,108],"microcalcifications.":[32],"The":[33,91],"new":[34],"features":[35,45],"are":[36],"inspired":[37],"from":[38],"several":[39],"statistical":[40,50],"observations":[41],"some":[43],"classical":[44],"such":[46],"as":[47],"higher":[48],"order":[49],"(HOS)":[51],"features,":[52],"Discrete":[53],"Wavelet":[54,58],"Transform":[55],"(DWT)":[56],"and":[57,70,75,86,101,110],"Packet":[59],"Decomposition":[60],"(WPD)":[61],"features.":[63,79],"Our":[64],"study":[65],"employs":[66],"DWT":[67],"preprocessing":[69],"Student's":[71],"t-test":[72],"evaluation":[74],"reduction":[76],"the":[78],"Support":[80],"vector":[81],"machines":[82],"(SVM)":[83],"with":[84],"linear":[85],"RBF":[87,106],"kernels":[88],"was":[89],"used.":[90],"proposed":[92],"achieved":[94],"98.43%,":[95],"96.74%":[96],"sensitivity,":[97],"93.34%,":[98],"94.87%":[99],"specificity":[100],"95.80%,":[102],"95.78%":[103],"accuracy":[104],"using":[105],"kernel":[107],"MIAS":[109],"DDSM":[111],"databases":[112],"respectively.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
