{"id":"https://openalex.org/W4214728752","doi":"https://doi.org/10.1155/2022/9227440","title":"Tomographic Ultrasound Imaging in the Diagnosis of Breast Tumors under the Guidance of Deep Learning Algorithms","display_name":"Tomographic Ultrasound Imaging in the Diagnosis of Breast Tumors under the Guidance of Deep Learning Algorithms","publication_year":2022,"publication_date":"2022-02-28","ids":{"openalex":"https://openalex.org/W4214728752","doi":"https://doi.org/10.1155/2022/9227440","pmid":"https://pubmed.ncbi.nlm.nih.gov/35265119","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/8901319"},"language":"en","primary_location":{"id":"doi:10.1155/2022/9227440","doi":"https://doi.org/10.1155/2022/9227440","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9227440","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/9227440.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2022/9227440.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016021059","display_name":"Xuehua Xiao","orcid":"https://orcid.org/0000-0003-1215-4632","observed_orcids":["https://orcid.org/0000-0003-1215-4632"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xuehua Xiao","raw_affiliation_strings":["Department of Ultrasound, Affiliated Hospital, Jiujiang Medical College, Jiujiang, 332000, Jiangxi, China"],"raw_orcid":"https://orcid.org/0000-0003-1215-4632","affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Affiliated Hospital, Jiujiang Medical College, Jiujiang, 332000, Jiangxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fengping Gan","orcid":"https://orcid.org/0000-0001-9614-5551","observed_orcids":["https://orcid.org/0000-0001-9614-5551"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fengping Gan","raw_affiliation_strings":["Department of Ultrasound, Affiliated Hospital, Jiujiang Medical College, Jiujiang, 332000, Jiangxi, China"],"raw_orcid":"https://orcid.org/0000-0001-9614-5551","affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Affiliated Hospital, Jiujiang Medical College, Jiujiang, 332000, Jiangxi, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075181801","display_name":"Haixia Yu","orcid":"https://orcid.org/0000-0002-5148-1006","observed_orcids":["https://orcid.org/0000-0002-5148-1006"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haixia Yu","raw_affiliation_strings":["Department of Ultrasound, Affiliated Hospital, Jiujiang Medical College, Jiujiang, 332000, Jiangxi, China"],"raw_orcid":"https://orcid.org/0000-0002-5148-1006","affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Affiliated Hospital, Jiujiang Medical College, Jiujiang, 332000, Jiangxi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5016021059"],"corresponding_institution_ids":[],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.4015,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.55698283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.8726000189781189,"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":0.8726000189781189,"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/T11134","display_name":"Breast Lesions and Carcinomas","score":0.034299999475479126,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.02459999918937683,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tomographic-ultrasound-imaging","display_name":"tomographic ultrasound imaging","score":0.9190000295639038},{"id":"https://openalex.org/keywords/breast-cancer-diagnosis","display_name":"breast cancer diagnosis","score":0.8109999895095825},{"id":"https://openalex.org/keywords/benign-versus-malignant-breast-masses","display_name":"benign versus malignant breast tumors","score":0.8989999890327454},{"id":"https://openalex.org/keywords/deep-learning-image-segmentation","display_name":"deep learning image segmentation","score":0.7929999828338623},{"id":"https://openalex.org/keywords/hemoglobin-measurement","display_name":"hemoglobin measurement","score":0.6880000233650208},{"id":"https://openalex.org/keywords/diagnostic-accuracy","display_name":"diagnostic accuracy","score":0.7200000286102295},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"computer-aided diagnosis","score":0.8109999895095825}],"concepts":[{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.6315885186195374},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.6226327419281006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5425295829772949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5222409963607788},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.49008142948150635},{"id":"https://openalex.org/C2986892559","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Ultrasound imaging","level":3,"score":0.4636145234107971},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45434707403182983},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4461369812488556},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3563897907733917},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.31820249557495117},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2855347990989685},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.2404092252254486},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09229868650436401},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.07720071077346802}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2022/9227440","doi":"https://doi.org/10.1155/2022/9227440","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9227440","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/9227440.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8901319","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8901319","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"},{"id":"pmid:35265119","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35265119","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,"listed_in":[],"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":"Computational intelligence and neuroscience","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:e22f9369e2404dec9e663200fd4f7b0f","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/e22f9369e2404dec9e663200fd4f7b0f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/9227440","doi":"https://doi.org/10.1155/2022/9227440","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9227440","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/9227440.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9537000060081482}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214728752.pdf","grobid_xml":"https://content.openalex.org/works/W4214728752.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2792983091","https://openalex.org/W2886717759","https://openalex.org/W2898373323","https://openalex.org/W2922464864","https://openalex.org/W2926848333","https://openalex.org/W2943491685","https://openalex.org/W2953138420","https://openalex.org/W2962577326","https://openalex.org/W2963716858","https://openalex.org/W2973515967","https://openalex.org/W2981101506","https://openalex.org/W2990272570","https://openalex.org/W2992369104","https://openalex.org/W2993842891","https://openalex.org/W2996072115","https://openalex.org/W2997638939","https://openalex.org/W3015201124","https://openalex.org/W3025535914","https://openalex.org/W3036562634","https://openalex.org/W3037765194","https://openalex.org/W3040882690","https://openalex.org/W3045244891","https://openalex.org/W3082262392","https://openalex.org/W3093454916"],"related_works":["https://openalex.org/W2995646717","https://openalex.org/W4387780130","https://openalex.org/W4206695941","https://openalex.org/W3190493922","https://openalex.org/W4408096690","https://openalex.org/W4361204440","https://openalex.org/W4288084450","https://openalex.org/W6980900790","https://openalex.org/W4221110446","https://openalex.org/W2946074429"],"abstract_inverted_index":{"This":[0],"study":[1],"was":[2,29,55,69,80,139,236,283],"aimed":[3],"to":[4,31,57,71,82,105,223,228],"discuss":[5],"the":[6,16,33,61,64,74,84,88,95,99,107,164,191,211,220,226,232,259,278,285],"feasibility":[7],"of":[8,21,47,101,133,136,144,161,166,188,193,214,252,263,280,287],"distinguishing":[9],"benign":[10,122,145,248],"and":[11,35,63,87,124,157,174,184,201,216,225,249,255,261,282],"malignant":[12,127,137,209,250],"breast":[13,39,108,118,167,194,208,253],"tumors":[14],"under":[15],"tomographic":[17],"ultrasound":[18,51,189,215,242],"imaging":[19,85,103],"(TUI)":[20],"deep":[22,26,77,269],"learning":[23,27,78,270],"algorithm.":[24],"The":[25,110,129,150,177],"algorithm":[28],"used":[30,56,70],"segment":[32],"images,":[34],"120":[36,115],"patients":[37,116],"with":[38,117,241],"tumor":[40],"were":[41,92,121,126,169,196],"included":[42],"in":[43,59,163,190,277],"this":[44],"study,":[45],"all":[46],"whom":[48],"underwent":[49],"routine":[50],"examinations.":[52],"Subsequently,":[53],"TUI":[54,162,239],"assist":[58],"guiding":[60],"positioning,":[62],"light":[65],"scattering":[66],"tomography":[67,217],"system":[68],"further":[72],"measure":[73],"lesions.":[75,128],"A":[76],"model":[79],"established":[81],"process":[83],"results,":[86,234],"pathological":[89],"test":[90],"results":[91,111],"undertaken":[93],"as":[94],"gold":[96],"standard":[97],"for":[98,206],"efficiency":[100],"different":[102],"methods":[104],"diagnose":[106],"tumors.":[109],"showed":[112],"that,":[113],"among":[114],"tumor,":[119],"56":[120],"lesions":[123,138,146],"64":[125],"average":[130],"total":[131],"amount":[132],"hemoglobin":[134],"(HBT)":[135],"significantly":[140,257],"higher":[141],"than":[142],"that":[143,238,268],"(P":[147],"<":[148],"0.05).":[149],"sensitivity,":[151,178],"specificity,":[152,179],"accuracy,":[153,180],"positive":[154,181],"predictive":[155,159,182,186],"value,":[156,183],"negative":[158,185],"value":[160,187],"diagnosis":[165,192,251],"cancer":[168,195,254],"90.4%,":[170],"75.6%,":[171],"81.4%,":[172],"84.7%,":[173],"80.6%,":[175,202],"respectively.":[176,203],"81.7%,":[197],"64.9%,":[198],"70.5%,":[199],"75.9%,":[200],"In":[204],"addition,":[205],"suspected":[207],"lesions,":[210],"combined":[212,240],"application":[213],"can":[218,256],"increase":[219],"diagnostic":[221],"specificity":[222,260],"82.1%":[224],"accuracy":[227,262],"83.8%.":[229],"Based":[230],"on":[231,247],"above":[233],"it":[235],"concluded":[237],"had":[243,272],"a":[244,273],"significant":[245],"effect":[246],"improve":[258],"diagnosis.":[264],"It":[265],"also":[266],"reflected":[267],"technology":[271],"good":[274],"auxiliary":[275],"role":[276],"examination":[279],"diseases":[281],"worth":[284],"promotion":[286],"clinical":[288],"application.":[289]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-03-02T00:00:00"}
