no code implementations • 4 Feb 2023 • Dimitrios E. Diamantis, Panagiota Gatoula, Anastasios Koulaouzidis, Dimitris K. Iakovidis
Medical image synthesis has emerged as a promising solution to address the limited availability of annotated medical data needed for training machine learning algorithms in the context of image-based Clinical Decision Support (CDS) systems.
no code implementations • Scientific Reports 2023 • George Dimas, Eirini Cholopoulou, Dimitris K. Iakovidis
The adoption of Convolutional Neural Network (CNN) models in high-stake domains is hindered by their inability to meet society's demand for transparency in decision-making.
no code implementations • 12 Feb 2022 • Dimitrios E. Diamantis, Dimitris K. Iakovidis
Convolutional Neural Networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pooling, which implements dimensionality reduction.
no code implementations • 20 Nov 2020 • George Pantazis, George Dimas, Dimitris K. Iakovidis
The proposed method is evaluated in comparison to state-of-the-art VS approaches on the benchmark dataset VSUMM.