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2017 1
2018 1
2020 6
2021 10
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Page 1
The Utility of Deep Learning in Breast Ultrasonic Imaging: A Review.
Fujioka T, Mori M, Kubota K, Oyama J, Yamaga E, Yashima Y, Katsuta L, Nomura K, Nara M, Oda G, Nakagawa T, Kitazume Y, Tateishi U. Fujioka T, et al. Among authors: yamaga e. Diagnostics (Basel). 2020 Dec 6;10(12):1055. doi: 10.3390/diagnostics10121055. Diagnostics (Basel). 2020. PMID: 33291266 Free PMC article. Review.
Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging.
Fujioka T, Yashima Y, Oyama J, Mori M, Kubota K, Katsuta L, Kimura K, Yamaga E, Oda G, Nakagawa T, Kitazume Y, Tateishi U. Fujioka T, et al. Among authors: yamaga e. Magn Reson Imaging. 2021 Jan;75:1-8. doi: 10.1016/j.mri.2020.10.003. Epub 2020 Oct 10. Magn Reson Imaging. 2021. PMID: 33045323
A Rare Case of Primary Breast Osteosarcoma Evaluated with Multiple Modalities.
Fujioka T, Mori M, Onishi I, Yashima Y, Yamaga E, Oyama J, Yokoyama K, Kubota K, Oda G, Nakagawa T, Tateishi U. Fujioka T, et al. Among authors: yamaga e. Diagnostics (Basel). 2021 Jun 28;11(7):1170. doi: 10.3390/diagnostics11071170. Diagnostics (Basel). 2021. PMID: 34203255 Free PMC article.
17 results