{"id":"https://openalex.org/W2593103270","doi":"https://doi.org/10.1109/mwscas.2016.7870030","title":"Enhancing automatic polyp detection accuracy using fusion techniques","display_name":"Enhancing automatic polyp detection accuracy using fusion techniques","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2593103270","doi":"https://doi.org/10.1109/mwscas.2016.7870030","mag":"2593103270"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas.2016.7870030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2016.7870030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)","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/A5056056673","display_name":"Alaa El Khatib","orcid":"https://orcid.org/0000-0003-3084-3589"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Alaa El Khatib","raw_affiliation_strings":["Faculty of Automatic Control, Silesian University of Technology, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Automatic Control, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059512412","display_name":"Naoufel Werghi","orcid":"https://orcid.org/0000-0002-5542-448X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naoufel Werghi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013850016","display_name":"Hussain Al-Ahmad","orcid":"https://orcid.org/0000-0002-5781-5476"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hussain Al-Ahmad","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056056673"],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":null,"apc_paid":null,"fwci":0.4617,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70991843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8674","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9779000282287598,"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/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9401999711990356,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"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/computer-science","display_name":"Computer science","score":0.7704778909683228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7394575476646423},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7081928253173828},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6497331857681274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6295379400253296},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.4684232473373413},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4400380253791809},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.432233989238739},{"id":"https://openalex.org/keywords/specular-reflection","display_name":"Specular reflection","score":0.43098676204681396},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41721421480178833},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40287473797798157},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.17572060227394104},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15129074454307556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7704778909683228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7394575476646423},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7081928253173828},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6497331857681274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6295379400253296},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.4684232473373413},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4400380253791809},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.432233989238739},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.43098676204681396},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41721421480178833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40287473797798157},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.17572060227394104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15129074454307556},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/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/mwscas.2016.7870030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2016.7870030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)","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":22,"referenced_works":["https://openalex.org/W199419312","https://openalex.org/W1523954320","https://openalex.org/W1980301542","https://openalex.org/W2010173198","https://openalex.org/W2011086845","https://openalex.org/W2018001563","https://openalex.org/W2054367831","https://openalex.org/W2097290407","https://openalex.org/W2106787323","https://openalex.org/W2106904071","https://openalex.org/W2119571194","https://openalex.org/W2140753590","https://openalex.org/W2159543062","https://openalex.org/W2163352848","https://openalex.org/W2164733507","https://openalex.org/W2167034998","https://openalex.org/W2747485148","https://openalex.org/W2973818247","https://openalex.org/W4293768955","https://openalex.org/W6608194093","https://openalex.org/W6631261986","https://openalex.org/W6682747227"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W4389501116","https://openalex.org/W2559833131","https://openalex.org/W2730225583","https://openalex.org/W4393899117","https://openalex.org/W2794489335","https://openalex.org/W2175900582","https://openalex.org/W4388910335"],"abstract_inverted_index":{"In":[0],"this":[1,57],"paper,":[2],"we":[3,61],"address":[4],"the":[5,49,63,97],"problem":[6],"of":[7,25,52,65,99],"automatic":[8],"polyp":[9],"detection":[10],"in":[11,56,82],"endoscopy":[12],"videos.":[13],"We":[14,37],"propose":[15],"feature":[16],"fusion":[17],"and":[18,34,71],"multiple":[19],"classifier":[20],"technique":[21],"using":[22],"a":[23,41,46,76],"variety":[24],"features":[26],"that":[27,39],"include":[28],"wavelet":[29],"features,":[30],"Local":[31],"Binary":[32],"Patterns":[33],"Gabor":[35],"features.":[36],"show":[38,72],"such":[40],"combination":[42],"can":[43,81],"mitigate,":[44],"to":[45,86],"reasonable":[47],"extent,":[48],"high":[50],"rate":[51],"false":[53],"positives":[54],"common":[55,77],"particular":[58],"problem.":[59],"Moreover,":[60],"study":[62],"effect":[64],"specular":[66],"reflection":[67],"removal":[68],"on":[69],"performance":[70],"that,":[73],"despite":[74],"being":[75],"preprocessing":[78],"step,":[79],"it":[80],"some":[83],"cases":[84],"lead":[85],"worse":[87],"results.":[88],"Experiments":[89],"conducted":[90],"with":[91],"ASU-Mayo":[92],"Clinic":[93],"Polyp":[94],"Database":[95],"confirm":[96],"validity":[98],"our":[100],"scheme.":[101]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}