Mohammed Abdelsamea
Title
Cited by
Cited by
Year
Image-based plant phenotyping with incremental learning and active contours
M Minervini, MM Abdelsamea, SA Tsaftaris
Ecological Informatics 23, 35-48, 2014
942014
An efficient Self-Organizing Active Contour model for image segmentation
MM Abdelsamea, G Gnecco, MM Gaber
Neurocomputing 149, 820-835, 2015
472015
An automatic seeded region growing for 2d biomedical image segmentation
MM Abdelsamea
arXiv preprint arXiv:1412.3958, 2014
222014
Active contour model driven by globally signed region pressure force
MM Abdelsamea, SA Tsaftaris
2013 18th International Conference on Digital Signal Processing (DSP), 1-6, 2013
222013
A SOM-based Chan–Vese model for unsupervised image segmentation
MM Abdelsamea, G Gnecco, MM Gaber
Soft Computing 21 (8), 2047-2067, 2017
202017
A concurrent SOM-based Chan-Vese model for image segmentation
MM Abdelsamea, G Gnecco, MM Gaber
Advances in Self-Organizing Maps and Learning Vector Quantization, 199-208, 2014
202014
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
A Abbas, MM Abdelsamea, MM Gaber
arXiv preprint arXiv:2003.13815, 2020
172020
A Survey of SOM-Based Active Contour Models for Image Segmentation
MM Abdelsamea, G Gnecco, MM Gaber
Advances in Self-Organizing Maps and Learning Vector Quantization, 293-302, 2014
152014
Robust local–global SOM-based ACM
MM Abdelsamea, G Gnecco
Electronics Letters 51 (2), 142-143, 2015
102015
An enhancement neighborhood connected segmentation for 2D-cellular image
MM Abdelsamea
arXiv preprint arXiv:1407.3664, 2014
92014
An efficient clustering based texture feature extraction for medical image
MH Mohamed, MM Abdelsamea
2008 11th International Conference on Computer and Information Technology, 88-93, 2008
92008
On the relationship between variational level set-based and som-based active contours
MM Abdelsamea, G Gnecco, MM Gaber, E Elyan
Computational intelligence and neuroscience 2015, 2015
72015
A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer
MM Abdelsamea, A Pitiot, RB Grineviciute, J Besusparis, A Laurinavicius, ...
Expert Systems with Applications 118, 539-552, 2019
62019
Learning transformations for automated classification of manifestation of tuberculosis using convolutional neural network
A Abbas, MM Abdelsamea
2018 13th International Conference on Computer Engineering and Systems …, 2018
52018
Detrac: Transfer learning of class decomposed medical images in convolutional neural networks
A Abbas, MM Abdelsamea, MM Gaber
IEEE Access 8, 74901-74913, 2020
42020
A novel autonomous perceptron model for pattern classification applications
A Sagheer, M Zidan, MM Abdelsamea
Entropy 21 (8), 763, 2019
42019
A semi-automated system based on level sets and invariant spatial interrelation shape features for Caenorhabditis elegans phenotypes
MM Abdelsamea
Journal of Visual Communication and Image Representation 41, 314-323, 2016
42016
An Effective Image Feature Classiffication using an improved SOM
M Abdelsamea, MH Mohamed, M Bamatraf
arXiv preprint arXiv:1501.01723, 2015
32015
Self organization map based texture feature extraction for efficient medical image categorization
MH Mohamed, MM Abdelsamea
arXiv preprint arXiv:1408.4143, 2014
32014
Automated classification of malignant and benign breast cancer lesions using neural networks on digitized mammograms
MM Abdelsamea, MH Mohamed, M Bamatraf
Cancer informatics 18, 1176935119857570, 2019
22019
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