Publications by authors named "Radu Ioan Badea"
Article Synopsis
- Deep-learning methods have shown better performance in computer vision tasks when large datasets are available, but there's a question regarding their effectiveness in medical imaging, particularly with limited data.
- The study proposes a lightweight multi-resolution Convolutional Neural Network (CNN) for classifying ultrasound images between Hepatocellular Carcinoma (HCC) and cirrhotic parenchyma (PAR).
- Results indicate that the deep-learning model outperforms conventional machine-learning methods, achieving higher classification accuracy for the ultrasound binary classification task.
