IEEE Access
(Jan 2024)
Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”
Ruiming Zeng,
Boan Qu,
Wei Liu,
Jianghao Li,
Hongshen Li,
Pingping Bing,
Shuangni Duan,
Lemei Zhu
Affiliations
Ruiming Zeng
Hunan Provincial Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, China
Boan Qu
College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China
Wei Liu
ORCiD College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China
Jianghao Li
Hunan Provincial Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, China
Hongshen Li
Hunan Provincial Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, China
Pingping Bing
ORCiD Hunan Provincial Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, China
Shuangni Duan
School of Public Health, Xiangnan University, Chenzhou, China
Lemei Zhu
Hunan Provincial Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, China
DOI
https://doi.org/10.1109/ACCESS.2024.3489133
Journal volume & issue
Vol. 12
Abstract
Read online
Presents corrections to the paper, (Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”).
WeChat QR code
Close
