文献
J-GLOBAL ID:201902282236201076
整理番号:19A2288042
MR画像における乳房腫瘍分類と病変の局在化のための弱教師つき3D深層学習【JST・京大機械翻訳】
Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images
著者 (9件):
Zhou Juan
(Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, 10071, People’s Republic of China)
,
Luo Lu-Yang
(Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong)
,
Dou Qi
(Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong)
,
Chen Hao
(Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong)
,
Chen Hao
(Imsight Medical Technology Co., Ltd., Nanshan, Shenzhen, 518000, People’s Republic of China)
,
Chen Cheng
(Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong)
,
Li Gong-Jie
(Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, 10071, People’s Republic of China)
,
Jiang Ze-Fei
(Department of Breast Cancer, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China, 100071)
,
Heng Pheng-Ann
(Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong)
資料名:
Journal of Magnetic Resonance Imaging
(Journal of Magnetic Resonance Imaging)
巻:
50
号:
4
ページ:
1144-1151
発行年:
2019年
JST資料番号:
W2648A
ISSN:
1053-1807
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)