{"id":"https://openalex.org/W2965148340","doi":"https://doi.org/10.1109/tsp.2019.8768851","title":"A Bag of Features Approach for CEUS Liver Lesions Investigation","display_name":"A Bag of Features Approach for CEUS Liver Lesions Investigation","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2965148340","doi":"https://doi.org/10.1109/tsp.2019.8768851","mag":"2965148340"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2019.8768851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.8768851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","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/A5037751847","display_name":"C\u0103t\u0103lin Daniel C\u0103leanu","orcid":"https://orcid.org/0000-0002-0252-7047"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Catalin Daniel Caleanu","raw_affiliation_strings":["Faculty of Electronics, Telecommunications and Information Technologies, Politehnica University Timi\u015foara, Timi\u015foara, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronics, Telecommunications and Information Technologies, Politehnica University Timi\u015foara, Timi\u015foara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014249667","display_name":"Georgiana Simion","orcid":"https://orcid.org/0000-0001-5542-1484"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Georgiana Simion","raw_affiliation_strings":["Faculty of Electronics, Telecommunications and Information Technologies, Politehnica University Timi\u015foara, Timi\u015foara, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronics, Telecommunications and Information Technologies, Politehnica University Timi\u015foara, Timi\u015foara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3122695212"],"apc_list":null,"apc_paid":null,"fwci":1.3206,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8572164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"323","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10073","display_name":"Hepatocellular Carcinoma Treatment and Prognosis","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/2721","display_name":"Hepatology"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7360839247703552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7215886116027832},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6396722793579102},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6329878568649292},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.6101930737495422},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6017201542854309},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5521742105484009},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.4315081536769867},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42795297503471375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33078885078430176}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7360839247703552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7215886116027832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6396722793579102},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6329878568649292},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.6101930737495422},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6017201542854309},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5521742105484009},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.4315081536769867},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42795297503471375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33078885078430176},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2019.8768851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.8768851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","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":10,"referenced_works":["https://openalex.org/W1625255723","https://openalex.org/W1977947533","https://openalex.org/W2020132202","https://openalex.org/W2059474105","https://openalex.org/W2093619589","https://openalex.org/W2113437226","https://openalex.org/W2154573715","https://openalex.org/W2294287077","https://openalex.org/W6636494156","https://openalex.org/W6682548837"],"related_works":["https://openalex.org/W2126100045","https://openalex.org/W2336974148","https://openalex.org/W2345184372","https://openalex.org/W2160451891","https://openalex.org/W2187500075","https://openalex.org/W2381773606","https://openalex.org/W2041636156","https://openalex.org/W2546942002","https://openalex.org/W4225360039","https://openalex.org/W4242764575"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"a":[3,14,18,25,42,51,93,120],"novel":[4],"approach":[5,89],"for":[6,57,71,119],"CEUS":[7,96],"based":[8],"diagnosis":[9],"is":[10,48],"presented.":[11],"We":[12],"propose":[13,30],"spatial/image-based":[15],"method":[16],"using":[17],"parallel":[19],"and":[20],"hierarchical":[21],"system":[22],"architecture.":[23],"As":[24],"feature":[26],"extraction":[27],"stage,":[28],"we":[29],"the":[31,61,72,76],"Bag":[32],"of":[33,44,60,75,87,92,114],"Features":[34],"(BoF)":[35],"algorithm":[36],"which":[37],"treats":[38],"image":[39],"features":[40],"as":[41],"bag":[43],"visual":[45],"words.":[46],"It":[47],"followed":[49],"by":[50],"multiclass":[52],"SVM":[53],"classifier":[54],"trained":[55],"separately":[56],"each":[58],"phase":[59,78],"ultrasound":[62],"investigation.":[63],"A":[64],"soft":[65],"voting":[66],"scheme":[67],"has":[68,116],"been":[69,117],"proposed":[70],"information":[73],"fusion":[74],"individual":[77],"classifiers.":[79],"The":[80],"preliminary":[81],"evaluation":[82],"shows":[83],"promising":[84],"qualitative":[85],"results":[86],"our":[88],"on":[90],"samples":[91],"newly":[94],"introduced":[95],"dataset.":[97],"Using":[98],"only":[99],"550":[100],"images,":[101],"(5":[102],"liver":[103],"lesions":[104],"\u00d7":[105,108],"10":[106],"pictures/lesion":[107],"11":[109],"patients)":[110],"an":[111],"average":[112],"accuracy":[113],"64%":[115],"obtained":[118],"leave-one":[121],"patient-out":[122],"procedure.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}