{"id":"https://openalex.org/W2016540386","doi":"https://doi.org/10.1109/nabic.2009.5393714","title":"Intelligent analysis of prostate ultrasound images","display_name":"Intelligent analysis of prostate ultrasound images","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2016540386","doi":"https://doi.org/10.1109/nabic.2009.5393714","mag":"2016540386"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2009.5393714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2009.5393714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 World Congress on Nature &amp; Biologically Inspired Computing (NaBIC)","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/A5085432173","display_name":"Aboul Ella Hassanien","orcid":"https://orcid.org/0000-0002-9989-6681"},"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":"Aboul Ella Hassanien","raw_affiliation_strings":["FCI-IT Department, Cairo University, Giza, Egypt","FCI - IT Dept., Cairo University, Giza, Egypt"],"affiliations":[{"raw_affiliation_string":"FCI-IT Department, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"FCI - IT Dept., Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113674632","display_name":"Hameed Al-Qaheri","orcid":null},"institutions":[{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"education","lineage":["https://openalex.org/I36721946"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Hameed Al-Qaheri","raw_affiliation_strings":["Information System Department, Kuwait University, Kuwait","Information System Dept., Kuwait University, CBA, Kuwait"],"affiliations":[{"raw_affiliation_string":"Information System Department, Kuwait University, Kuwait","institution_ids":["https://openalex.org/I36721946"]},{"raw_affiliation_string":"Information System Dept., Kuwait University, CBA, Kuwait","institution_ids":["https://openalex.org/I36721946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105462955","display_name":"Gerald Schaefer","orcid":"https://orcid.org/0000-0003-1292-7674"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gerald Schaefer","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, UK","[Department of Computer Science, Loughborough University, U.K.]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, UK","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"[Department of Computer Science, Loughborough University, U.K.]","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084106026","display_name":"Soumya Banerjee","orcid":"https://orcid.org/0000-0002-7649-8429"},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumya Banerjee","raw_affiliation_strings":["Computer Science Department, Birla Institute of Technology, Mesra, India","Computer Science Dept., Birla Institute of Technology, Mesra, India"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Birla Institute of Technology, Mesra, India","institution_ids":["https://openalex.org/I115715567"]},{"raw_affiliation_string":"Computer Science Dept., Birla Institute of Technology, Mesra, India","institution_ids":["https://openalex.org/I115715567"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085432173"],"corresponding_institution_ids":["https://openalex.org/I145487455"],"apc_list":null,"apc_paid":null,"fwci":0.33415375,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66849655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"2","issue":null,"first_page":"263","last_page":"268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9377999901771545,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9311000108718872,"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/rough-set","display_name":"Rough set","score":0.8103275299072266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7053459882736206},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6772305369377136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6592918634414673},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.6154029965400696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5236384868621826},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5166557431221008},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5143381357192993},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4858836531639099},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.47347915172576904},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43706923723220825},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43394654989242554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18526116013526917}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.8103275299072266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053459882736206},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6772305369377136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6592918634414673},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.6154029965400696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5236384868621826},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5166557431221008},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5143381357192993},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4858836531639099},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.47347915172576904},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43706923723220825},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43394654989242554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18526116013526917},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nabic.2009.5393714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2009.5393714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 World Congress on Nature &amp; Biologically Inspired Computing (NaBIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"},{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W107910782","https://openalex.org/W111741188","https://openalex.org/W125325519","https://openalex.org/W165803457","https://openalex.org/W1495386528","https://openalex.org/W1533151697","https://openalex.org/W1557031672","https://openalex.org/W1565627856","https://openalex.org/W1602484230","https://openalex.org/W1927917172","https://openalex.org/W1974394463","https://openalex.org/W2018124267","https://openalex.org/W2047863499","https://openalex.org/W2081711865","https://openalex.org/W2084612781","https://openalex.org/W2124664421","https://openalex.org/W2129908023","https://openalex.org/W2155609868","https://openalex.org/W2160826172","https://openalex.org/W2162033093","https://openalex.org/W2169031131","https://openalex.org/W4255833381","https://openalex.org/W4285719527","https://openalex.org/W4301649876","https://openalex.org/W6633346322"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2382278777","https://openalex.org/W2107349454","https://openalex.org/W2353240132","https://openalex.org/W1964260090","https://openalex.org/W2375932290","https://openalex.org/W2978519593","https://openalex.org/W2102746356","https://openalex.org/W4390066334","https://openalex.org/W2096751418"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,51],"present":[4],"an":[5],"intelligent":[6],"approach":[7,145],"to":[8,15,28,36,43,95,124],"analysing":[9],"prostrate":[10],"ultrasound":[11],"images":[12],"in":[13],"order":[14],"diagnose":[16],"prostate":[17],"cancer.":[18],"Algorithms":[19],"based":[20,63],"on":[21],"fuzzy":[22],"image":[23],"processing":[24],"are":[25,80],"applied":[26],"first":[27],"enhance":[29,44],"the":[30,33,38,45,55,59,125,139],"contrast":[31],"of":[32,40,58,61,90,93,113,121,131,143],"original":[34],"image,":[35],"extract":[37,52],"region":[39],"interest":[41,62,94],"and":[42,76,127],"edges":[46],"surrounding":[47],"that":[48,138],"region.":[49],"Then,":[50],"features":[53],"characterising":[54],"underlying":[56],"texture":[57],"regions":[60,92],"wavelet":[64],"domain":[65],"features.":[66],"Finally,":[67],"a":[68,73,83,119],"rough":[69,77,110,132],"neural":[70,74,105],"network,":[71],"where":[72],"network":[75,106],"set":[78,133],"theory":[79],"integrated":[81],"into":[82],"hybrid":[84],"system,":[85],"is":[86,107,146],"designed":[87],"for":[88],"discrimination":[89],"different":[91],"test":[96],"whether":[97],"they":[98],"represent":[99],"malignant":[100],"or":[101],"benign":[102],"cases.":[103],"The":[104],"built":[108],"from":[109],"neurons,":[111],"each":[112],"which":[114],"can":[115],"be":[116],"viewed":[117],"as":[118],"pair":[120],"sub-neurons,":[122],"corresponding":[123],"lower":[126],"upper":[128],"bound":[129],"concepts":[130],"theory.":[134],"Experimental":[135],"results":[136],"show":[137],"overall":[140],"classification":[141],"accuracy":[142],"our":[144],"high.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
