Search Results for author:
Found 3 papers, 3 papers with code
Generating Progressive Images from Pathological Transitions via Diffusion Model
Deep learning is widely applied in computer-aided pathological diagnosis, which alleviates the pathologist workload and provide timely clinical analysis.
PuzzleTuning: Explicitly Bridge Pathological and Natural Image with Puzzles
Pathological image analysis is a crucial field in computer vision.
Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image Classification
The rapid on-site evaluation (ROSE) technique can signifi-cantly accelerate the diagnosis of pancreatic cancer by im-mediately analyzing the fast-stained cytopathological images.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
