Khamael Al-Dulaimi

Orcid: 0000-0001-7248-7522

According to our database1, Khamael Al-Dulaimi authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Adaptive Non-Maximum Suppression for improving performance of <i>Rumex</i> detection.
Expert Syst. Appl., June, 2023

Automated Classification of Cell Level of HEp-2 Microscopic Images Using Deep Convolutional Neural Networks-Based Diameter Distance Features.
J. Univers. Comput. Sci., May, 2023

Rumex Weed Classification Using Region-Convolution Neural Networks Based-Colour Space Information.
Inteligencia Artif., May, 2023

Classification of HEp-2 Staining Pattern Images Using Adapted Multilayer Perceptron Neural Network-Based Intra-Class Variation of Cell Shape.
Sensors, February, 2023

2022
Hybrid CNN Model for Classification of Rumex Obtusifolius in Grassland.
IEEE Access, 2022

2021
HEp-2 Specimen Cell Detection and Classification Using Very Deep Convolutional Neural Networks-Based Cell Shape.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
Evaluation and benchmarking of level set-based three forces via geometric active contours for segmentation of white blood cell nuclei shape.
Comput. Biol. Medicine, 2020

2019
Benchmarking HEp-2 specimen cells classification using linear discriminant analysis on higher order spectra features of cell shape.
Pattern Recognit. Lett., 2019

2018
Classification of White Blood Cells Using L-Moments Invariant Features of Nuclei Shape.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Classification of White Blood Cells using Bispectral Invariant Features of Nuclei Shape.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2016
Automatic segmentation of HEp-2 cell Fluorescence microscope images using level set method via geometric active contours.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

White Blood Cell Nuclei Segmentation Using Level Set Methods and Geometric Active Contours.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016


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