Vision Transformers for Computational Histopathology
Hongming Xu, Qi Xu, Fengyu Cong et al.
2023 · IEEE Reviews in Biomedical Engineering · 139 citations
Computational histopathology is focused on the automatic analysis of rich phenotypic information contained in gigabyte whole slide images, aiming at providing cancer patients with more accurate diagnosis, prognosis, and treatment recommendations. Nowadays deep learning is the mainstream methodological choice in computational histopathology. Transformer, as the latest technological advance in deep learning, learns feature representations and global dependencies based on self-attention mechanisms, which is increasingly gaining prevalence in this field. This article presents a comprehensive revi…
Explore this paper's citation graph on Constellation.