no code implementations • 30 Oct 2023 • Olivier Rukundo, Andrea Behanova, Riccardo de Feo, Seppo Ronkko, Joni Oja, Jussi Tohka
To overcome the challenge, due to such a presence, we developed a software tool for semi-automatic annotation and segmentation of adenoviruses and a software tool for automatic segmentation and detection of intact adenoviruses in TEM imaging systems.
no code implementations • 22 Feb 2023 • Olivier Rukundo
In this study, the author evaluated the effects of both BIC-based image and mask processing and BIC-and-NN-based image and mask processing versus NN-based image and mask processing.
no code implementations • 25 Oct 2021 • Olivier Rukundo, Samuel Emil Schmidt
The proposed SR function is based on a pseudorandom number, enabling the pseudorandom rounding up or down any non-integer row and column subscripts.
no code implementations • 12 Apr 2021 • Olivier Rukundo, Hanqiang Cao
This paper presents an advance on image interpolation based on ant colony algorithm (AACA) for high-resolution image scaling.
no code implementations • 8 Apr 2021 • Olivier Rukundo, Marius Pedersen, Øistein Hovde
The proposed method (PM) combines two algorithms for the enhancement of darker and brighter areas of capsule endoscopic images, respectively.
no code implementations • 18 Mar 2021 • Olivier Rukundo
This report generally focuses on challenges associated with 3D visualization and specifically investigates the impact of the indeterminate selection of the angle of the line of sight on 3D surfaces.
no code implementations • 27 Jan 2021 • Olivier Rukundo
In this work, the best size for late gadolinium enhancement (LGE) magnetic resonance imaging (MRI) images in the training dataset was determined to optimize deep learning training outcomes.
no code implementations • 16 Dec 2020 • Olivier Rukundo
This work evaluates deep learning-based myocardial infarction (MI) quantification using Segment cardiovascular magnetic resonance (CMR) software.
no code implementations • 10 Dec 2020 • Olivier Rukundo
The extent to which the arbitrarily selected L2 regularization hyperparameter value affects the outcome of semantic segmentation with deep learning is demonstrated.
no code implementations • 17 Nov 2020 • Olivier Rukundo
Image interpolation algorithms pervade many modern image processing and analysis applications.
no code implementations • 15 Mar 2020 • Olivier Rukundo
A novel evaluation study of the most appropriate round function for nearest-neighbor (NN) image interpolation is presented.
no code implementations • 30 Jul 2019 • Olivier Rukundo
This paper proposes a 4X4 Census Transform (4X4CT) to encourage further research in computer vision and visual computing.