Multi-Magnification Attention Convolutional Neural Networks [AI-eXplained]
C. H. Chao, Daniel Winden Hwang, Hung‐Wen Tsai, Shih-Hsuan Lin, Weili Chen, Chun-Rong Huang, Pau‐Choo Chung · IEEE Computational Intelligence Magazine · 2023
To apply convolutional neural networks (CNNs) on high-resolution images, a common approach is to split the input image into smaller patches. However, the field-of-view is restricted by the input size. To overcome the problem, a multi-magnification attention convolutional neural network (MMA-CNN) is proposed to analyze images based on both local and global features. Our approach focuses on identifying the importance of individual features at each magnification level and is applied to pathology whole slide images (WSIs) segmentation to show its effectiveness. Several interactive figures are also developed to enhance the reader’s understanding of our research.