{"id":"https://openalex.org/W3091497115","doi":"https://doi.org/10.14313/jamris/2-2020/22","title":"Radon-Wavelet Based Novel Image Descriptor for Mammogram Mass Classification","display_name":"Radon-Wavelet Based Novel Image Descriptor for Mammogram Mass Classification","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W3091497115","doi":"https://doi.org/10.14313/jamris/2-2020/22","mag":"3091497115"},"language":"en","primary_location":{"id":"doi:10.14313/jamris/2-2020/22","is_oa":true,"landing_page_url":"https://doi.org/10.14313/jamris/2-2020/22","pdf_url":"https://www.jamris.org/index.php/JAMRIS/article/download/555/555","source":{"id":"https://openalex.org/S4210195376","display_name":"Journal of Automation Mobile Robotics & Intelligent Systems","issn_l":"1897-8649","issn":["1897-8649","2080-2145"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Automation, Mobile Robotics and Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jamris.org/index.php/JAMRIS/article/download/555/555","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069405328","display_name":"Sk Md Obaidullah","orcid":"https://orcid.org/0000-0002-5207-3709"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sk Md Obaidullah","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033460822","display_name":"Sajib Ahmed","orcid":"https://orcid.org/0009-0001-4398-1844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sajib Ahmed","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085523573","display_name":"Teresa Gon\u00e7alves","orcid":"https://orcid.org/0000-0002-1323-0249"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Teresa Gon\u00e7alves","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040863927","display_name":"Lu\u00eds Rato","orcid":"https://orcid.org/0000-0003-4492-7548"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu\u00eds Rato","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069405328"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61447962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"74","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9900000095367432,"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":0.9900000095367432,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9096999764442444,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6676387786865234},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.638036847114563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5542961359024048},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49351322650909424},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4574600160121918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45097488164901733}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6676387786865234},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.638036847114563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5542961359024048},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49351322650909424},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4574600160121918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45097488164901733}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14313/jamris/2-2020/22","is_oa":true,"landing_page_url":"https://doi.org/10.14313/jamris/2-2020/22","pdf_url":"https://www.jamris.org/index.php/JAMRIS/article/download/555/555","source":{"id":"https://openalex.org/S4210195376","display_name":"Journal of Automation Mobile Robotics & Intelligent Systems","issn_l":"1897-8649","issn":["1897-8649","2080-2145"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Automation, Mobile Robotics and Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:dspace.uevora.pt:10174/34081","is_oa":true,"landing_page_url":"http://hdl.handle.net/10174/34081","pdf_url":null,"source":{"id":"https://openalex.org/S4306401462","display_name":"Repositorio Universidade de \u00c9vora (Universidade de \u00c9vora)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I21803372","host_organization_name":"University of \u00c9vora","host_organization_lineage":["https://openalex.org/I21803372"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.14313/jamris/2-2020/22","is_oa":true,"landing_page_url":"https://doi.org/10.14313/jamris/2-2020/22","pdf_url":"https://www.jamris.org/index.php/JAMRIS/article/download/555/555","source":{"id":"https://openalex.org/S4210195376","display_name":"Journal of Automation Mobile Robotics & Intelligent Systems","issn_l":"1897-8649","issn":["1897-8649","2080-2145"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Automation, Mobile Robotics and Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3091497115.pdf","grobid_xml":"https://content.openalex.org/works/W3091497115.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1969176937","https://openalex.org/W2000000530","https://openalex.org/W2019979668","https://openalex.org/W2032322171","https://openalex.org/W2044465660","https://openalex.org/W2045010718","https://openalex.org/W2049487246","https://openalex.org/W2056555375","https://openalex.org/W2059331675","https://openalex.org/W2061345601","https://openalex.org/W2085834212","https://openalex.org/W2092886150","https://openalex.org/W2099105076","https://openalex.org/W2112270781","https://openalex.org/W2132984323","https://openalex.org/W2150796457","https://openalex.org/W2163714625","https://openalex.org/W2284539364","https://openalex.org/W2295256730","https://openalex.org/W2636315234","https://openalex.org/W2770511975","https://openalex.org/W6682193038"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W2541950815","https://openalex.org/W2161229648","https://openalex.org/W2993674027","https://openalex.org/W2130228941"],"abstract_inverted_index":{"Mammography":[0],"based":[1,40,128],"breast":[2],"cancer":[3],"screening":[4],"is":[5,39,49,53,68],"very":[6],"popular":[7],"because":[8],"of":[9,19,44,65,108,133,139,157,187],"its":[10],"lower":[11],"costing":[12],"and":[13,46,90,137,143],"readily":[14],"availability.":[15],"For":[16],"automated":[17],"classification":[18],"mammogram":[20,194],"images":[21],"as":[22,56],"benign":[23],"or":[24,176],"malignant":[25],"machine":[26,85],"learning":[27],"techniques":[28],"are":[29],"involved.":[30],"In":[31],"this":[32],"paper,":[33],"a":[34],"novel":[35],"image":[36,117],"descriptor":[37,118],"which":[38],"on":[41],"the":[42,66,96,100,111,115,153,162,171,185],"idea":[43],"Radon":[45],"Wavelet":[47],"transform":[48],"proposed.":[50],"This":[51],"method":[52,67],"quite":[54],"efficient":[55],"it":[57],"performs":[58],"well":[59],"without":[60],"any":[61],"clinical":[62],"information.":[63],"Performance":[64],"evaluated":[69],"using":[70,126,160,169],"six":[71],"different":[72],"classifiers":[73],"namely:":[74],"Bayesian":[75],"network":[76],"(BN),":[77],"Linear":[78],"discriminant":[79],"analysis":[80],"(LDA),":[81],"Logistic,":[82],"Support":[83],"vector":[84],"(SVM),":[86],"Multilayer":[87],"perceptron":[88],"(MLP)":[89],"Random":[91],"Forest":[92],"(RF)":[93],"to":[94,167],"choose":[95],"best":[97],"performer.":[98],"Considering":[99],"present":[101],"experimental":[102,150],"framework,":[103],"we":[104],"found,":[105],"in":[106],"terms":[107],"area":[109],"under":[110],"ROC":[112],"curve":[113],"(AUC),":[114],"proposed":[116],"outperforms,":[119],"upto":[120],"some":[121],"extent,":[122],"previous":[123],"reported":[124],"experiments":[125],"histogram":[127],"hand-crafted":[129],"methods,":[130],"namely":[131],"Histogram":[132,138],"Oriented":[134],"Gradient":[135,140],"(HOG)":[136],"Divergence":[141],"(HGD)":[142],"also":[144],"Convolution":[145],"Neural":[146],"Network":[147],"(CNN).":[148],"Our":[149],"results":[151,182],"show":[152],"highest":[154],"AUC":[155],"value":[156],"0.986,":[158],"when":[159,168],"only":[161,170],"carniocaudal":[163],"(CC)":[164],"view":[165,189],"compared":[166],"mediolateral":[172],"oblique":[173],"(MLO)":[174],"(0.738)":[175],"combining":[177],"both":[178],"views":[179],"(0.838).":[180],"These":[181],"thus":[183],"proves":[184],"effectiveness":[186],"CC":[188],"over":[190],"MLO":[191],"for":[192],"better":[193],"mass":[195],"classification.":[196]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}