Abstract: Semi-supervised learning based on consistency learning offers significant promise for enhancing medical image segmentation. Current approaches use copy-paste as an effective data ...
Training a computer vision model on a 50:50 blend of synthetic and real eye images produces more reliable segmentation of the ...
Abstract: In recent years, the deployment of supervised machine learning techniques for segmentation tasks has significantly increased. Nonetheless, the annotation process for extensive datasets ...
Not all white matter hyperintensities (WMH) visible on FLAIR imaging represent pathological MS lesions. Age-related changes and CSF contamination artifacts can mimic MS lesions, leading to ...
This project reproduces the methodology from the paper "Brain tumor classification using MRI images and deep learning techniques" by Wong et al. (2025), PLoS One. The goal is to classify brain MRI … ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results