3 papers
cs.CV2025
AST-n: A Fast Sampling Approach for Low-Dose CT Reconstruction using Diffusion Models
Tomás de la Sotta, José M. Saavedra, Héctor Henríquez +2
Low-dose CT (LDCT) protocols reduce radiation exposure but increase image noise, compromising diagnostic confidence. Diffusion-based generative models have shown promise for LDCT d…
cs.CV2023
RaViTT: Random Vision Transformer Tokens
Felipe A. Quezada, Carlos F. Navarro, Cristian Muñoz +5
Vision Transformers (ViTs) have successfully been applied to image classification problems where large annotated datasets are available. On the other hand, when fewer annotations a…
eess.IV2022
Gold-standard of HER2 breast cancer biopsies using supervised learning based on multiple pathologist annotations
Benjamín Hernández, Violeta Chang
Breast cancer is one of the most common cancer in women around the world. For diagnosis, pathologists evaluate biomarkers such as HER2 protein using immunohistochemistry over tissu…