{"id":"https://openalex.org/W2208515660","doi":"https://doi.org/10.1109/ipta.2015.7367183","title":"Influence of ultrasound despeckling on the liver fibrosis classification","display_name":"Influence of ultrasound despeckling on the liver fibrosis classification","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2208515660","doi":"https://doi.org/10.1109/ipta.2015.7367183","mag":"2208515660"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2015.7367183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2015.7367183","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":"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/A5002419898","display_name":"Alexander Khvostikov","orcid":"https://orcid.org/0000-0002-4217-7141"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]},{"id":"https://openalex.org/I4210150146","display_name":"Moscow State University","ror":"https://ror.org/050a13t43","country_code":"TJ","type":"education","lineage":["https://openalex.org/I4210150146"]}],"countries":["RU","TJ"],"is_corresponding":true,"raw_author_name":"Alexander Khvostikov","raw_affiliation_strings":["Department of Computational Mathematics and Cybernetics, Lomonosov Moscow State University","Lomonosov Moscow State University, Department of Computational Mathematics & Cybernetics"],"affiliations":[{"raw_affiliation_string":"Department of Computational Mathematics and Cybernetics, Lomonosov Moscow State University","institution_ids":["https://openalex.org/I4210150146"]},{"raw_affiliation_string":"Lomonosov Moscow State University, Department of Computational Mathematics & Cybernetics","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051796014","display_name":"A. S. Krylov","orcid":"https://orcid.org/0000-0001-9910-4501"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]},{"id":"https://openalex.org/I4210150146","display_name":"Moscow State University","ror":"https://ror.org/050a13t43","country_code":"TJ","type":"education","lineage":["https://openalex.org/I4210150146"]}],"countries":["RU","TJ"],"is_corresponding":false,"raw_author_name":"Andrey Krylov","raw_affiliation_strings":["Department of Computational Mathematics and Cybernetics, Lomonosov Moscow State University","Lomonosov Moscow State University, Department of Computational Mathematics & Cybernetics"],"affiliations":[{"raw_affiliation_string":"Department of Computational Mathematics and Cybernetics, Lomonosov Moscow State University","institution_ids":["https://openalex.org/I4210150146"]},{"raw_affiliation_string":"Lomonosov Moscow State University, Department of Computational Mathematics & Cybernetics","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Julius Kamalov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164220","display_name":"Russian Scientific Center of Surgery","ror":"https://ror.org/05pnsh228","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210164220"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Julius Kamalov","raw_affiliation_strings":["Petrovsky National Research Center of Surgery, Laboratory of Ultrasonic Diagnosis"],"affiliations":[{"raw_affiliation_string":"Petrovsky National Research Center of Surgery, Laboratory of Ultrasonic Diagnosis","institution_ids":["https://openalex.org/I4210164220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058998809","display_name":"Alina Megroyan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164220","display_name":"Russian Scientific Center of Surgery","ror":"https://ror.org/05pnsh228","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210164220"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alina Megroyan","raw_affiliation_strings":["Petrovsky National Research Center of Surgery, Laboratory of Ultrasonic Diagnosis"],"affiliations":[{"raw_affiliation_string":"Petrovsky National Research Center of Surgery, Laboratory of Ultrasonic Diagnosis","institution_ids":["https://openalex.org/I4210164220"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002419898"],"corresponding_institution_ids":["https://openalex.org/I19880235","https://openalex.org/I4210150146"],"apc_list":null,"apc_paid":null,"fwci":0.2714,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64155662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"440","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9861000180244446,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9861000180244446,"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/T10862","display_name":"AI in cancer detection","score":0.9836000204086304,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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":0.703543484210968},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6009156107902527},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.6000734567642212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5716617703437805},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5241737365722656},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5098680257797241},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5005862712860107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49674445390701294},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4603760838508606},{"id":"https://openalex.org/keywords/gray-level","display_name":"Gray level","score":0.45836716890335083},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4452032744884491},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.40788424015045166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3770027160644531},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3727112114429474},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28064489364624023},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2775070071220398},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24461141228675842},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.24285876750946045},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21745499968528748}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.703543484210968},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6009156107902527},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.6000734567642212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5716617703437805},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5241737365722656},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5098680257797241},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5005862712860107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49674445390701294},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4603760838508606},{"id":"https://openalex.org/C2985861186","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Gray level","level":3,"score":0.45836716890335083},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4452032744884491},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.40788424015045166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3770027160644531},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3727112114429474},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28064489364624023},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2775070071220398},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24461141228675842},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.24285876750946045},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21745499968528748},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2015.7367183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2015.7367183","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":[{"display_name":"Life in Land","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W65521462","https://openalex.org/W196312295","https://openalex.org/W612828185","https://openalex.org/W1495061682","https://openalex.org/W1570448133","https://openalex.org/W1990675325","https://openalex.org/W1995911759","https://openalex.org/W2004928853","https://openalex.org/W2007440415","https://openalex.org/W2059432853","https://openalex.org/W2068111606","https://openalex.org/W2074768606","https://openalex.org/W2095047470","https://openalex.org/W2125614842","https://openalex.org/W2130094715","https://openalex.org/W2136207315","https://openalex.org/W2139441065","https://openalex.org/W2147711099","https://openalex.org/W2148143831","https://openalex.org/W6602649504","https://openalex.org/W6608144322","https://openalex.org/W6680575426"],"related_works":["https://openalex.org/W2793402697","https://openalex.org/W2967406116","https://openalex.org/W2042019967","https://openalex.org/W2093785611","https://openalex.org/W4386174346","https://openalex.org/W2893321985","https://openalex.org/W3134034502","https://openalex.org/W1966354130","https://openalex.org/W2149187843","https://openalex.org/W4293868572"],"abstract_inverted_index":{"An":[0],"analysis":[1,28],"of":[2,12,59,69],"speckle":[3,124],"filtering":[4,125],"influence":[5],"on":[6,30],"B-mode":[7],"ultrasound":[8,67,108],"image":[9],"texture-based":[10],"determination":[11],"the":[13,60,73,86,128],"liver":[14,26,70],"fibrosis":[15,83],"stage":[16],"has":[17],"been":[18],"performed.":[19],"We":[20,62],"developed":[21],"a":[22],"comprehensive":[23],"method":[24],"for":[25,77,82],"texture":[27],"based":[29],"10\u201320":[31],"textural":[32,43],"characteristics.":[33],"These":[34],"characteristics":[35,58],"were":[36],"found":[37,122],"as":[38],"most":[39],"informative":[40],"from":[41],"1390":[42],"features":[44],"calculated":[45],"using":[46,85,93,104,112],"Laws'":[47],"masks,":[48],"co-occurrence":[49],"matrix,":[50,54],"gray":[51],"level":[52],"run-length":[53],"wavelets":[55],"and":[56,98,130],"statistical":[57],"images.":[61],"used":[63],"Siemens":[64],"ACUSON":[65],"S2000":[66],"images":[68],"cuts":[71],"along":[72],"right":[74],"midclavicular":[75],"line":[76],"more":[78],"than":[79],"50":[80],"patients":[81],"classification":[84,90,129],"METAVIR":[87],"score.":[88],"The":[89,107],"was":[91,110,121],"performed":[92,111],"Multi-layer":[94],"Perceptron,":[95],"Random":[96],"Forests":[97],"KNN":[99],"classifiers":[100],"with":[101,115],"data":[102],"balancing":[103],"SMOTE":[105],"algorithm.":[106],"despeckling":[109],"SRAD":[113],"algorithm":[114],"an":[116],"entropy-based":[117],"stopping":[118],"criterion.":[119],"It":[120],"that":[123],"procedure":[126],"enhances":[127],"increases":[131],"AUROC":[132],"value":[133],"by":[134],"5%.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
