Meta-adaptive-weighting-based bilateral multi-dimensional refined space feature attention network for imbalanced breast cancer histopathological image classification
【作者单位】1Department of Mathematics and Computer Science, Shanxi Normal University, Taiyuan 030031, China;2State Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China;3School of Mathematics, North University of China, Taiyuan 030051, China;4School of Mathematics and Statistics, Ningbo University, Ningbo 315211, China;5School of Mathematics and Statistics, Taiyuan Normal University, Taiyuan 030002, China;6Data Science and Technology, North University of China, Taiyuan 030051, China;7Healthcare Big Data Research Center, Shanxi Intelligence Institute of Big Data Technology and Innovation, Taiyuan 030000, China
【年份】2023
【卷号】Vol.164
【页码】107300
【ISSN】0010-4825
【摘要】 Breast cancer histopathological image automatic classification can reduce pathologists workload and provide accurate diagnosis. However, one challenge is that empirical datasets are usually imbalanced, resulting in poorer classification quality compa...
