Publications by authors named "Qiyao Chen"
Background: Aptamers have aroused tremendous applications in sensors, drug deliveries, diagnosis, and therapies. In particular, target-induced global structure switching of aptamers has been widely used to develop selective sensors. However, fluorophore and/or quencher modification, sequence elongation, and nano-interface adsorption are required to design such global structure-switching aptamer sensors (SSAS) in order to signal target binding events.
View Article and Find Full Text PDFA review of deep learning approaches for multimodal image segmentation of liver cancer.
J Appl Clin Med Phys
December 2024
Article Synopsis
- This review focuses on the advancements in deep learning techniques used for multimodal fusion image segmentation specifically related to liver cancer treatment and monitoring.
- It highlights the importance of accurate image segmentation for hepatocellular carcinoma and discusses various deep learning architectures like CNN and U-Net, which improve the precision of segmentation processes.
- The paper also addresses challenges in current research, such as data imbalance and model interpretability, while suggesting future directions for enhancing medical imaging accuracy and clinical decision-making.