Breast cancer image classification via multi-network features and dual-network orthogonal low-rank learning

• Main Authors: Wang, Yongjun, Lei, Baiying, Elazab, Ahmed, Tan, Ee-Leng, Wang, Wei, Huang, Fanglin, Gong, Xuehao, Wang, Tianfu
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Breast Cancer Image Classification; Deep Convolutional Neural Network
• Online Access: https://hdl.handle.net/10356/145755
• Institution: Nanyang Technological University

Histopathological image analysis is an important technique for early diagnosis and detection of breast cancer in clinical practice. However, it has limited efficiency and thus the detection of breast cancer is still an open issue in medical image analysis. To improve the early diagnostic accuracy of...