Art

J-GLOBAL ID：202102215352075963   Reference number：21A0579072

Pattern Classification Approaches for Breast Cancer Identification via MRI: State-Of-The-Art and Vision for the Future

MRIによる乳癌識別のためのパターン分類アプローチ:未来のための最先端とビジョン【JST・京大機械翻訳】

Author (3)： Yin Xiao-Xia (Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China) ,  Yin Lihua (Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China) ,  Hadjiloucas Sillas (Department of Biomedical Engineering, School of Biological Sciences, The University of Reading, Reading RG6 6AY, UK)
Material： Applied Sciences (Web)
Volume： 10  Issue： 20  Page： 7201  Publication year： 2020 
JST Material Number： U7135A  ISSN： 2076-3417  Document type： Article
Article type： 文献レビュー  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Mining algorithms for Dynamic ...

Register(free) or Log In to access     To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=21A0579072&from=J-GLOBAL&jstjournalNo=U7135A") }}

Thesaurus term： algorithm ,  contrast ,  tensor ,  automation ,  learning ,  network ,  *pattern classification ,  tumor ,  image processing ,  artificial intelligence ,  medical image ,  NMR imaging ,  robustness ,  *breast tumor
Semi thesaurus term： 深層学習 , 【Automatic Indexing@JST】

Author keywords (6)： Dynamic Contrast Enhanced Magnetic Resonance Imaging ,  multi-channel reconstruction ,  self-supervised and semi-supervised deep learning ,  breast cancer ,  computer aided classification ,  breast density

JST classification (2)： Medical image processing  (JE04020T) ,  Artificial intelligence  (JE08000Z)

Reference (104)：

• Liberman, L.; Menell, J.H. Breast imaging reporting and data system(BI-RADS). Radiol. Clin. N. Am. 2002, 40, 409-430.
• Boyd, N.F.; Helen, G.; Martin, L.J.; Sun, L.; Stone, J.; Fishell, E.; Jong, R.A.; Hislop, G.; Chiarelli, A.; Minkin, S.; et al. Mammographic density and the risk and detection of breast cancer. N. Engl. J. Med. 2007, 56, 227-236.
• Tice, J.A.; O’Meara ESs Weaver, D.L.; Vachon, C.; Ballard-Barbash, R.; Kerlikowske, K. Benign breast disease, mammographic breast density, and the risk of breast cancer. Jnci J. Natl. Cancer Inst. 2013, 105, 1043-1049.
• Brenner, R.J. Background parenchymal enhancement at breast MR imaging and breast cancer risk. Breast Dis. Year Book Q. 2012, 23, 145-147.
• You, C.; Peng, W.; Zhi, W.; He, M.; Liu, G.; Xie, L.; Jiang, L.; Hu, X.; Shen, X.; Gu, Y. Association between background parenchymal enhancement and pathologic complete Remission throughout the neoadjuvant chemotherapy in breast cancer patients. Transl. Oncol. 2017, 10, 786-792.

Terms in the title (7)： MRI ,  乳癌 ,  識別 ,  パターン分類 ,  未来 ,  最先端 ,  ビジョン