Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light ...

The study involved 173 patients with COPD and 176 healthy controls, recruited between December 2017 and June 2023.

Yang, L., et al. (2025) Deep learning-based automatic segmentation of arterial vessel walls and plaques in MR vessel wall images for quantitative assessment.

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

Use of an artificial intelligence model to predict Ki67 from H&E-stained whole slides images in breast cancer. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...

Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...

A research team has developed a novel weakly supervised deep learning method that reconstructs spectral data from inexpensive ...