Art
J-GLOBAL ID:202102215702528042   Reference number:21A0902062

Classification of Benign and Malignant Breast Tumors Using H-Scan Ultrasound Imaging

Hスキャン超音波イメージングを用いた良性および悪性乳房腫瘍の分類【JST・京大機械翻訳】
Author (7):
Material:
Volume:Issue:Page: 182  Publication year: 2019 
JST Material Number: U7173A  ISSN: 2075-4418  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
Abstract/Point:
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Breast cancer is one of the mo...
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Diagnosis of tumors(=neoplasms)  ,  Acoustic signal processing  ,  Medical image processing 
Reference (28):
  • Siegel, R.L.; Miller, K.D.; Jemal, A. Cancer statistics, 2019. CA Cancer J. Clin. 2019, 69, 7-34.
  • Ferlay, J.; Colombet, M.; Soerjomataram, I.; Mathers, C.; Parkin, D.M.; Piñeros, M.; Znaor, A.; Bray, F. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. Int. J. Cancer 2019, 144, 1941-1953.
  • Qu, X.X.; Song, Y.; Zhang, Y.H.; Qing, H.M. Value of ultrasonic elastography and conventional ultrasonography in the differential diagnosis of non-mass-like breast lesions. Ultrasound Med. Biol. 2019, 45, 1358-1366.
  • Byra, M.; Nowicki, A.; Wróblewska-Piotrzkowska, H.; Dobruch-Sobczak, K. Classification of breast lesions using segmented quantitative ultrasound maps of homodyned K distribution parameters. Med. Phys. 2016, 43, 5561-5569.
  • Huang, Q.; Hu, B.; Zhang, F. Evolutionary optimized fuzzy reasoning with mined diagnostic patterns for classification of breast tumors in ultrasound. Inf. Sci. 2019, 502, 525-536.
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