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

Volume / Issue Vol. 15, Issue 1
Published February 09, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

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