{"id":"https://openalex.org/W4225309820","doi":"https://doi.org/10.1109/icassp43922.2022.9747883","title":"Improving Ultrasound Image Classification with Local Texture Quantisation","display_name":"Improving Ultrasound Image Classification with Local Texture Quantisation","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225309820","doi":"https://doi.org/10.1109/icassp43922.2022.9747883"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747883","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100375319","display_name":"Xiao Li","orcid":"https://orcid.org/0000-0003-0214-0130"},"institutions":[{"id":"https://openalex.org/I71052956","display_name":"University of Reading","ror":"https://ror.org/05v62cm79","country_code":"GB","type":"education","lineage":["https://openalex.org/I71052956"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Xiao Li","raw_affiliation_strings":["University of Reading,UK","University of Reading, UK"],"affiliations":[{"raw_affiliation_string":"University of Reading,UK","institution_ids":["https://openalex.org/I71052956"]},{"raw_affiliation_string":"University of Reading, UK","institution_ids":["https://openalex.org/I71052956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075528828","display_name":"Huizhi Liang","orcid":"https://orcid.org/0000-0003-4408-4528"},"institutions":[{"id":"https://openalex.org/I71052956","display_name":"University of Reading","ror":"https://ror.org/05v62cm79","country_code":"GB","type":"education","lineage":["https://openalex.org/I71052956"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huizhi Liang","raw_affiliation_strings":["University of Reading,UK","University of Reading, UK"],"affiliations":[{"raw_affiliation_string":"University of Reading,UK","institution_ids":["https://openalex.org/I71052956"]},{"raw_affiliation_string":"University of Reading, UK","institution_ids":["https://openalex.org/I71052956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073281349","display_name":"Sidhartha Nagala","orcid":"https://orcid.org/0000-0001-9641-4440"},"institutions":[{"id":"https://openalex.org/I2801034529","display_name":"Royal Berkshire Hospital","ror":"https://ror.org/019f36t97","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2801034529","https://openalex.org/I2801444876"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sidhartha Nagala","raw_affiliation_strings":["Royal Berkshire Hospital,UK","Royal Berkshire Hospital, UK"],"affiliations":[{"raw_affiliation_string":"Royal Berkshire Hospital,UK","institution_ids":["https://openalex.org/I2801034529"]},{"raw_affiliation_string":"Royal Berkshire Hospital, UK","institution_ids":["https://openalex.org/I2801034529"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101844064","display_name":"Jane Chen","orcid":"https://orcid.org/0000-0003-3232-2613"},"institutions":[{"id":"https://openalex.org/I71052956","display_name":"University of Reading","ror":"https://ror.org/05v62cm79","country_code":"GB","type":"education","lineage":["https://openalex.org/I71052956"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jane Chen","raw_affiliation_strings":["University of Reading,UK","University of Reading, UK"],"affiliations":[{"raw_affiliation_string":"University of Reading,UK","institution_ids":["https://openalex.org/I71052956"]},{"raw_affiliation_string":"University of Reading, UK","institution_ids":["https://openalex.org/I71052956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100375319"],"corresponding_institution_ids":["https://openalex.org/I71052956"],"apc_list":null,"apc_paid":null,"fwci":0.1041,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23730001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9287","issue":null,"first_page":"1211","last_page":"1215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9993000030517578,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9945999979972839,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9646999835968018,"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/computer-science","display_name":"Computer science","score":0.6684064865112305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6217223405838013},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5728060603141785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5605068802833557},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5178914070129395},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5010800361633301},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4440712630748749},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31311386823654175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684064865112305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6217223405838013},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5728060603141785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5605068802833557},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5178914070129395},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5010800361633301},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4440712630748749},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31311386823654175}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747883","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:centaur.reading.ac.uk:102485","is_oa":false,"landing_page_url":"https://centaur.reading.ac.uk/view/creators/90010645.html>,","pdf_url":null,"source":{"id":"https://openalex.org/S4306402273","display_name":"CentAUR (University of Reading)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71052956","host_organization_name":"University of Reading","host_organization_lineage":["https://openalex.org/I71052956"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:eprints.ncl.ac.uk:279785","is_oa":false,"landing_page_url":"https://eprints.ncl.ac.uk/279785","pdf_url":null,"source":{"id":"https://openalex.org/S4306402485","display_name":"Newcastle University ePrints (Newcastle Univesity)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84884186","host_organization_name":"Newcastle University","host_organization_lineage":["https://openalex.org/I84884186"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1254635204","https://openalex.org/W1614298861","https://openalex.org/W1821462560","https://openalex.org/W2112212587","https://openalex.org/W2194775991","https://openalex.org/W2242818861","https://openalex.org/W2741754476","https://openalex.org/W2752796333","https://openalex.org/W2768282280","https://openalex.org/W2793712525","https://openalex.org/W2905949064","https://openalex.org/W2949442961","https://openalex.org/W2963799213","https://openalex.org/W2964528307","https://openalex.org/W2971074500","https://openalex.org/W2991372685","https://openalex.org/W2996432545","https://openalex.org/W3002592716","https://openalex.org/W3013244916","https://openalex.org/W3013873651","https://openalex.org/W3104547018","https://openalex.org/W3167708457","https://openalex.org/W3173686806","https://openalex.org/W3185284713","https://openalex.org/W6636510571","https://openalex.org/W6638523607","https://openalex.org/W6690026940","https://openalex.org/W6746052068","https://openalex.org/W6762931180","https://openalex.org/W6765321552","https://openalex.org/W6798614912"],"related_works":["https://openalex.org/W1983661653","https://openalex.org/W2115502907","https://openalex.org/W4360784979","https://openalex.org/W2941415828","https://openalex.org/W2062467513","https://openalex.org/W2138370077","https://openalex.org/W2157887782","https://openalex.org/W2008487901","https://openalex.org/W2134401318","https://openalex.org/W1555506570"],"abstract_inverted_index":{"Ultrasound":[0],"image":[1,14,35,43,121],"classification":[2,15,36,72,126],"is":[3,9,104],"important":[4],"for":[5,38,123],"disease":[6],"diagnosis.":[7],"It":[8],"more":[10],"challenging":[11],"than":[12],"usual":[13],"tasks":[16],"since":[17],"ultrasound":[18,42,120],"images":[19,49],"are":[20],"difficult":[21],"to":[22],"collect":[23],"and":[24,40,108,127],"usually":[25],"contain":[26],"lots":[27],"of":[28,65,85,92],"noise.":[29],"This":[30],"paper":[31],"proposes":[32],"a":[33,105],"novel":[34],"framework":[37,46,79,103],"small-scaled":[39],"noisy":[41],"datasets.":[44],"The":[45,54,77,131],"first":[47],"transforms":[48],"into":[50],"discrete":[51,58],"index":[52,55,75],"grids.":[53,76],"grids":[56],"use":[57],"indices":[59],"encoding":[60],"the":[61,66,83,90,101,114,136,140],"local":[62],"texture":[63],"patterns":[64],"images.":[67],"Then,":[68],"it":[69],"will":[70],"conduct":[71],"based":[73],"on":[74,117],"proposed":[78,102,115,137],"can":[80],"significantly":[81],"reduce":[82],"impact":[84],"noise":[86],"as":[87,89],"well":[88],"amount":[91],"training":[93],"data":[94],"that":[95,135],"needed.":[96],"Comparing":[97],"with":[98],"existing":[99],"models,":[100],"lite":[106],"model":[107],"has":[109],"better":[110],"explainability.":[111],"We":[112],"evaluated":[113],"approach":[116,138],"two":[118],"public":[119],"datasets":[122],"thyroid":[124],"nodule":[125,129],"breast":[128],"classification.":[130],"experiment":[132],"results":[133],"show":[134],"achieves":[139],"new":[141],"state-of-the-art.":[142],"<sup":[143],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[144],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-05-05T00:00:00"}