An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks
S
Shun Zeng
H
Hongyu Chen
R
Rui Jing
(State Key Laboratory of Information Photonics and Optical Communications, and School of Physical Science and Technology)
W
Wenzhuo Yang
L
Ligong He
T
Tianle Zou
P
Peng Liu
B
Bo Liang
D
Dan Shi
W
Wenhao Wu
(State Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials and Department of Chemistry, College of Chemistry and Chemical Engineering, Tan Kah Kee Innovation Laboratory (IKKEM))
Q
Qiusheng Lin
Z
Zhenyu Ma
J
Jinhui Zha
Y
Yonghao Zhong
X
Xianbin Zhang
G
Guangrui Shao
P
Peng Gong
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 15, Issue 1
Published
February 09, 2025
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (17)
S
Shun Zeng
H
Hongyu Chen
R
Rui Jing
State Key Laboratory of Information Photonics and Optical Communications, and School of Physical Science and Technology
W
Wenzhuo Yang
L
Ligong He
T
Tianle Zou
P
Peng Liu
B
Bo Liang
D
Dan Shi
W
Wenhao Wu
State Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials and Department of Chemistry, College of Chemistry and Chemical Engineering, Tan Kah Kee Innovation Laboratory (IKKEM)
Q
Qiusheng Lin
Z
Zhenyu Ma
J
Jinhui Zha
Y
Yonghao Zhong
X
Xianbin Zhang
G
Guangrui Shao
P
Peng Gong
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