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Matsilele Mabaso
Matsilele Mabaso
Doctoral student, CSIR
Adresse e-mail validée de csir.co.za
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Année
Spot detection methods in fluorescence microscopy imaging: a review
MA Mabaso, DJ Withey, B Twala
Spot detection methods in fluorescence microscopy imaging: A review, 2018
182018
Spot detection in microscopy images using convolutional neural network with sliding-window approach
MA Mabaso, DJ Withey, B Twala
SciTePress, 2018
182018
A framework for creating realistic synthetic fluorescence microscopy image sequences
M Mabaso, D Withey, B Twala
International Conference on Bioimaging 3, 85-92, 2016
62016
Performance evaluation of spot detection algorithms in fluorescence microscopy images
SU Matsilele Mabaso, Bhekisipho Twala, Daniel Withey
PRASA, 2012
3*2012
Generation of 3D realistic synthetic image datasets for spot detection evaluation
M Mabaso, D Withey, B Twala
Artificial Intelligence and Evolutionary Computations in Engineering Systems …, 2018
22018
A convolutional neural network for spot detection in microscopy images
M Mabaso, D Withey, B Twala
Biomedical Engineering Systems and Technologies: 11th International Joint …, 2019
12019
Comparison of two detection algorithms for spot tracking in fluorescence microscopy images
M Mabaso, DJ Withey, B Twala
PRASA, 2014
12014
Quantitative comparison of two particle tracking methods in fluorescence microscopy images
M Mabaso, B Twala, D Withey
2013 BRICS Congress on Computational Intelligence and 11th Brazilian …, 2013
12013
Automatic approach for spot detection in microscopy imaging based on image processing and statistical analysis
MA Mabaso
PQDT-Global, 2019
2019
An Extension of 2D Laplacian of Gaussian (LoG)-Based Spot Detection Method to 3D
M Mabaso, D Withey, B Twala
Artificial Intelligence and Evolutionary Computations in Engineering Systems …, 2018
2018
Detection and tracking of sports in fluorescence microscopy images
MA Mabaso
PQDT-Global, 2014
2014
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