Search Results for author: Olivier Rukundo

Found 12 papers, 0 papers with code

Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles

no code implementations30 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.

Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning

no code implementations22 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.

Image Segmentation Medical Image Segmentation +1

Stochastic Rounding for Image Interpolation and Scan Conversion

no code implementations25 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.

Advances on image interpolation based on ant colony algorithm

no code implementations12 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.

Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy

no code implementations8 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.

Image Enhancement

Challenges of 3D Surface Reconstruction in Capsule Endoscopy

no code implementations18 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.

Surface Reconstruction

Effects of Image Size on Deep Learning

no code implementations27 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.

Myocardium Segmentation Semantic Segmentation

Evaluation of deep learning-based myocardial infarction quantification using Segment CMR software

no code implementations16 Dec 2020 Olivier Rukundo

This work evaluates deep learning-based myocardial infarction (MI) quantification using Segment cardiovascular magnetic resonance (CMR) software.

Segmentation Semantic Segmentation

Effect of the regularization hyperparameter on deep learning-based segmentation in LGE-MRI

no code implementations10 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.

L2 Regularization Segmentation +1

Normalized Weighting Schemes for Image Interpolation Algorithms

no code implementations17 Nov 2020 Olivier Rukundo

Image interpolation algorithms pervade many modern image processing and analysis applications.

Evaluation of Rounding Functions in Nearest-Neighbor Interpolation

no code implementations15 Mar 2020 Olivier Rukundo

A novel evaluation study of the most appropriate round function for nearest-neighbor (NN) image interpolation is presented.

No-Reference Image Quality Assessment

4X4 Census Transform

no code implementations30 Jul 2019 Olivier Rukundo

This paper proposes a 4X4 Census Transform (4X4CT) to encourage further research in computer vision and visual computing.

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