{"id":"https://openalex.org/W2060766460","doi":"https://doi.org/10.1109/tmi.2013.2279938","title":"Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis","display_name":"Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis","publication_year":2013,"publication_date":"2013-08-29","ids":{"openalex":"https://openalex.org/W2060766460","doi":"https://doi.org/10.1109/tmi.2013.2279938","mag":"2060766460","pmid":"https://pubmed.ncbi.nlm.nih.gov/24001985"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2013.2279938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2013.2279938","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5013933479","display_name":"Min-Chun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Min-Chun Yang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan","[dept. of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"[dept. of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan]","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026232254","display_name":"Woo Kyung Moon","orcid":"https://orcid.org/0000-0001-8931-3772"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I2802835388","display_name":"Seoul National University Hospital","ror":"https://ror.org/01z4nnt86","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I139264467","https://openalex.org/I2802835388"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woo Kyung Moon","raw_affiliation_strings":["Department of Radiology, Seoul National University Hospital, Seoul, Korea","Dept. of Radiol., Seoul Nat. Univ. Hosp., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Seoul National University Hospital, Seoul, Korea","institution_ids":["https://openalex.org/I2802835388"]},{"raw_affiliation_string":"Dept. of Radiol., Seoul Nat. Univ. Hosp., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090045508","display_name":"Yu-Chiang Frank Wang","orcid":"https://orcid.org/0000-0002-2333-157X"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chiang Frank Wang","raw_affiliation_strings":["Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan","Research Center for Information Technology Innovation, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]},{"raw_affiliation_string":"Research Center for Information Technology Innovation, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027445487","display_name":"Min Sun Bae","orcid":"https://orcid.org/0000-0002-1971-3428"},"institutions":[{"id":"https://openalex.org/I2802835388","display_name":"Seoul National University Hospital","ror":"https://ror.org/01z4nnt86","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I139264467","https://openalex.org/I2802835388"]},{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min Sun Bae","raw_affiliation_strings":["Department of Radiology, Seoul National University Hospital, Seoul, Korea","Dept. of Radiol., Seoul Nat. Univ. Hosp., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Seoul National University Hospital, Seoul, Korea","institution_ids":["https://openalex.org/I2802835388"]},{"raw_affiliation_string":"Dept. of Radiol., Seoul Nat. Univ. Hosp., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027981189","display_name":"Chiun\u2010Sheng Huang","orcid":"https://orcid.org/0000-0002-6557-211X"},"institutions":[{"id":"https://openalex.org/I96323854","display_name":"National Yang Ming Chiao Tung University","ror":null,"country_code":"TW","type":null,"lineage":["https://openalex.org/I96323854"]},{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chiun-Sheng Huang","raw_affiliation_strings":["College of Medicine, National Taiwan University, Taipei, Taiwan","Dept. of Surg., Nat. Taiwan Univ. Hosp., Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"College of Medicine, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864","https://openalex.org/I96323854"]},{"raw_affiliation_string":"Dept. of Surg., Nat. Taiwan Univ. Hosp., Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102900758","display_name":"Jeon\u2010Hor Chen","orcid":"https://orcid.org/0000-0002-3032-233X"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeon-Hor Chen","raw_affiliation_strings":["Department of Radiological Sciences, Tu & Yuen Center for Functional Onco-Imaging, Irvine, CA, USA","Dept. of Radiol. Sci., Univ. of California, Irvine, Irvine, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiological Sciences, Tu & Yuen Center for Functional Onco-Imaging, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"Dept. of Radiol. Sci., Univ. of California, Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031463984","display_name":"Ruey\u2010Feng Chang","orcid":"https://orcid.org/0000-0002-2086-0097"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I4210096666","display_name":"Institute of Biomedical Sciences, Academia Sinica","ror":"https://ror.org/00tk6s776","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210096666","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ruey-Feng Chang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, The Graduate Institute of Biomedical Electronics and Bioinformatics, Taipei, Taiwan","[dept. of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, The Graduate Institute of Biomedical Electronics and Bioinformatics, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210096666"]},{"raw_affiliation_string":"[dept. of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan]","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5013933479"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":10.8765,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.98168721,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"32","issue":"12","first_page":"2262","last_page":"2273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9947999715805054,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9796000123023987,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.7965556383132935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.682105302810669},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6456232070922852},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5695781707763672},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5390306115150452},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.522977352142334},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.5006864070892334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49636536836624146},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.49055999517440796},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4760141968727112},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.47537484765052795},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.399901807308197},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3295973539352417},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.2648237347602844},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.26322877407073975},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1978633999824524},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.19689875841140747}],"concepts":[{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.7965556383132935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682105302810669},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6456232070922852},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5695781707763672},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5390306115150452},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.522977352142334},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.5006864070892334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49636536836624146},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.49055999517440796},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4760141968727112},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.47537484765052795},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.399901807308197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3295973539352417},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.2648237347602844},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.26322877407073975},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1978633999824524},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.19689875841140747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2013.2279938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2013.2279938","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:24001985","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24001985","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.684.4132","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.684.4132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.citi.sinica.edu.tw/papers/ycwang/3605-F.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6200000047683716,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W25350104","https://openalex.org/W1510073064","https://openalex.org/W1975515564","https://openalex.org/W1981771373","https://openalex.org/W1982165114","https://openalex.org/W1992573132","https://openalex.org/W2002664886","https://openalex.org/W2003188860","https://openalex.org/W2006831089","https://openalex.org/W2017752143","https://openalex.org/W2018993957","https://openalex.org/W2028672930","https://openalex.org/W2033856996","https://openalex.org/W2044465660","https://openalex.org/W2046887523","https://openalex.org/W2058683152","https://openalex.org/W2077208101","https://openalex.org/W2089918690","https://openalex.org/W2098925613","https://openalex.org/W2102150307","https://openalex.org/W2105184687","https://openalex.org/W2107410750","https://openalex.org/W2113524009","https://openalex.org/W2117109422","https://openalex.org/W2117438495","https://openalex.org/W2119429440","https://openalex.org/W2120846928","https://openalex.org/W2125063860","https://openalex.org/W2127227873","https://openalex.org/W2127314075","https://openalex.org/W2132984323","https://openalex.org/W2135405583","https://openalex.org/W2136510068","https://openalex.org/W2145205109","https://openalex.org/W2149988868","https://openalex.org/W2153172662","https://openalex.org/W2153635508","https://openalex.org/W2155896955","https://openalex.org/W2159511100","https://openalex.org/W2163287977","https://openalex.org/W2163352848","https://openalex.org/W2164424702","https://openalex.org/W2168593098","https://openalex.org/W2169271980","https://openalex.org/W2171921850","https://openalex.org/W2321283766","https://openalex.org/W2797177778","https://openalex.org/W3141878505","https://openalex.org/W4250236131","https://openalex.org/W4255466918","https://openalex.org/W6601033171","https://openalex.org/W6651733076"],"related_works":["https://openalex.org/W1589419489","https://openalex.org/W4229543669","https://openalex.org/W1783185948","https://openalex.org/W1554029525","https://openalex.org/W2999505641","https://openalex.org/W2401866201","https://openalex.org/W2945629533","https://openalex.org/W615772105","https://openalex.org/W1978794434","https://openalex.org/W2013631688"],"abstract_inverted_index":{"Computer-aided":[0],"diagnosis":[1],"(CAD)":[2],"systems":[3],"in":[4,115,223],"gray-scale":[5,37,260],"breast":[6,17,85],"ultrasound":[7,43,86,215],"images":[8,44,87],"have":[9],"the":[10,33,59,69,76,81,128,131,134,199,213,235,244,247,255],"potential":[11],"to":[12,25,147,153,160,173,179,186,212,242],"reduce":[13],"unnecessary":[14],"biopsy":[15],"of":[16,21,80,117,202,225,246],"masses.":[18,73],"The":[19,123],"purpose":[20],"our":[22,106,203],"study":[23],"is":[24,209,266],"develop":[26],"a":[27,270],"robust":[28,271],"CAD":[29,272],"system":[30],"based":[31,95],"on":[32,58,96],"texture":[34,65,83,204,249,256],"analysis.":[35,122,250],"First,":[36],"invariant":[38,261],"features":[39,66,108,262],"are":[40,93,140,168],"extracted":[41,111],"from":[42,89,127],"via":[45,137,165,263],"multi-resolution":[46,259],"ranklet":[47,138,207,264],"transform.":[48],"Thus,":[49],"one":[50],"can":[51],"apply":[52],"linear":[53],"support":[54],"vector":[55],"machines":[56],"(SVMs)":[57],"resulting":[60],"gray-level":[61],"co-occurrence":[62,221,236],"matrix":[63],"(GLCM)-based":[64],"for":[67,133,233,268],"discriminating":[68],"benign":[70],"and":[71,78,99,155,181,228],"malignant":[72],"To":[74],"verify":[75,243],"effectiveness":[77],"robustness":[79],"proposed":[82,107,248],"analysis,":[84],"obtained":[88],"three":[90,135],"different":[91],"platforms":[92],"evaluated":[94],"cross-platform":[97,191],"training/testing":[98,192],"leave-one-out":[100],"cross-validation":[101],"(LOO-CV)":[102],"schemes.":[103],"We":[104],"compare":[105],"with":[109,190,238],"those":[110,164],"by":[112],"wavelet":[113,166],"transform":[114,139,167,208,265],"terms":[116,224],"receiver":[118],"operating":[119],"characteristic":[120],"(ROC)":[121],"AUC":[124],"values":[125],"derived":[126],"area":[129],"under":[130],"curve":[132],"databases":[136],"0.918":[141],"(95%":[142,150,157,170,176,183],"confidence":[143],"interval":[144],"[CI],":[145],"0.848":[146],"0.961),":[148,161],"0.943":[149],"CI,":[151,158,171,177,184],"0.906":[152],"0.968),":[154],"0.934":[156],"0.883":[159],"respectively,":[162],"while":[163],"0.847":[169],"0.762":[172],"0.910),":[174],"0.922":[175],"0.878":[178],"0.958),":[180],"0.867":[182],"0.798":[185],"0.914),":[187],"respectively.":[188],"Experiments":[189],"scheme":[193],"between":[194],"each":[195],"database":[196],"reveal":[197],"that":[198,254],"diagnostic":[200],"performance":[201],"analysis":[205,257],"using":[206,258],"less":[210],"sensitive":[211],"sonographic":[214],"platforms.":[216],"Also,":[217],"we":[218],"adopt":[219],"several":[220],"statistics":[222],"quantization":[226],"levels":[227],"orientations":[229],"(i.e.,":[230],"descriptor":[231],"settings)":[232],"computing":[234],"matrices":[237],"0.632+":[239],"bootstrap":[240],"estimators":[241],"use":[245],"These":[251],"experiments":[252],"suggest":[253],"useful":[267],"designing":[269],"system.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}