{"id":"https://openalex.org/W2886711086","doi":null,"title":"Ultrasound image uniformity assessment by means of sparse matrices: Algorithm implementation and first results","display_name":"Ultrasound image uniformity assessment by means of sparse matrices: Algorithm implementation and first results","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2886711086","mag":"2886711086"},"language":"en","primary_location":{"id":"pmh:oai:iris.uniroma3.it:11590/337522","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/11590/337522","pdf_url":null,"source":{"id":"https://openalex.org/S4377196120","display_name":"Iris (Roma Tre University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I119003972","host_organization_name":"Roma Tre University","host_organization_lineage":["https://openalex.org/I119003972"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5040677350","display_name":"Lorenzo Schinaia","orcid":"https://orcid.org/0000-0003-2888-2079","observed_orcids":["https://orcid.org/0000-0003-2888-2079"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lorenzo Schinaia","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2888-2079","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058641720","display_name":"Andrea Scorza","orcid":"https://orcid.org/0000-0002-3542-8854","observed_orcids":["https://orcid.org/0000-0002-3542-8854"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrea Scorza","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3542-8854","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031824353","display_name":"Francesco Orsini","orcid":"https://orcid.org/0000-0003-1667-3894","observed_orcids":["https://orcid.org/0000-0003-1667-3894"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francesco Orsini","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1667-3894","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5060861348","display_name":"Salvatore Andrea Sciuto","orcid":"https://orcid.org/0000-0001-7072-1055","observed_orcids":["https://orcid.org/0000-0001-7072-1055"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salvatore Andrea Sciuto","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7072-1055","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2319,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65373227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.5601000189781189,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.5601000189781189,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.22990000247955322,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.09960000216960907,"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/haralick-texture-features","display_name":"GLCM texture features","score":0.8199999928474426},{"id":"https://openalex.org/keywords/split-and-merge-algorithm","display_name":"split-and-merge algorithm","score":0.8349999785423279},{"id":"https://openalex.org/keywords/sparse-matrices","display_name":"sparse matrices","score":0.9179999828338623},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.7990000247955322},{"id":"https://openalex.org/keywords/ultrasonography","display_name":"ultrasonography","score":0.7789999842643738}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5232976078987122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.510688841342926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49061456322669983},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4720005989074707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44269484281539917},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41325539350509644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.359384149312973}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:iris.uniroma3.it:11590/337522","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/11590/337522","pdf_url":null,"source":{"id":"https://openalex.org/S4377196120","display_name":"Iris (Roma Tre University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I119003972","host_organization_name":"Roma Tre University","host_organization_lineage":["https://openalex.org/I119003972"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:2886711086","doi":null,"is_oa":false,"landing_page_url":"https://iris.uniroma3.it/handle/11590/337522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2401011631","https://openalex.org/W1608406011","https://openalex.org/W2295582722","https://openalex.org/W7098480943","https://openalex.org/W4413632184","https://openalex.org/W2160564923","https://openalex.org/W2924673451","https://openalex.org/W2100993479","https://openalex.org/W2058438950","https://openalex.org/W2466415435"],"abstract_inverted_index":{"The":[0,42],"current":[1],"study":[2],"is":[3,27,40,44],"focused":[4],"on":[5,35,46],"an":[6],"image":[7],"segmentation":[8],"algorithm":[9,33,43],"for":[10],"Uniformity":[11],"Quality":[12],"assessment":[13],"in":[14,24,94],"Diagnostic":[15],"Ultrasounds.In":[16],"particular":[17],"a":[18,29,77],"mathematical":[19],"definition":[20],"of":[21,62,96,101],"the":[22,47,52,54,82,97,99,103],"uniformity":[23,39],"ultrasound":[25],"images":[26,67],"introducedand":[28],"split":[30],"and":[31,51,79,106,110],"merge":[32],"performed":[34],"sparse":[36],"matricesto":[37],"measure":[38],"described.":[41],"based":[45],"Gray-Level":[48],"Co-occurrence":[49],"Matrices":[50],"relativedescriptors,i.e.":[53],"Haralick":[55],"features":[56],"Entropy,":[57],"Energy,":[58],"Maximal":[59],"CorrelationCoefficientand":[60],"InformationMeasures":[61],"Correlation.Results":[63],"on2":[64],"differentdatasetsof":[65],"test":[66],"with":[68,81],"different":[69],"non-uniformities":[70],"have":[71],"been":[72],"carried":[73],"on.":[74],"Several":[75],"outcomesshow":[76],"goodsensitivity":[78],"agreement":[80],"mean":[83],"judgment":[84],"by":[85],"7":[86],"human":[87],"observers,":[88],"i.e.":[89],"differences":[90],"are":[91,108],"below":[92],"40%":[93],"most":[95],"cases.On":[98],"basis":[100],"previousstudies,":[102],"latest":[104],"developments":[105],"results":[107],"proposed":[109],"commented.":[111]},"counts_by_year":[{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2018-08-22T00:00:00"}