Mohammed Abdelsamea
Citata da
Citata da
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
A Abbas, MM Abdelsamea, MM Gaber
Applied Intelligence 51 (2), 854-864, 2021
Image-based plant phenotyping with incremental learning and active contours
M Minervini, MM Abdelsamea, SA Tsaftaris
Ecological Informatics 23, 35-48, 2014
Artificial intelligence in digital breast pathology: techniques and applications
A Ibrahim, P Gamble, R Jaroensri, MM Abdelsamea, CH Mermel, ...
The Breast 49, 267-273, 2020
An efficient self-organizing active contour model for image segmentation
MM Abdelsamea, G Gnecco, MM Gaber
Neurocomputing 149, 820-835, 2015
A novel autonomous perceptron model for pattern classification applications
A Sagheer, M Zidan, MM Abdelsamea
Entropy 21 (8), 763, 2019
Detrac: Transfer learning of class decomposed medical images in convolutional neural networks
A Abbas, MM Abdelsamea, MM Gaber
IEEE Access 8, 74901-74913, 2020
4s-dt: Self-supervised super sample decomposition for transfer learning with application to covid-19 detection
A Abbas, MM Abdelsamea, MM Gaber
IEEE Transactions on Neural Networks and Learning Systems 32 (7), 2798-2808, 2021
A SOM-based Chan–Vese model for unsupervised image segmentation
MM Abdelsamea, G Gnecco, M Medhat Gaber
Soft Computing 21 (8), 2047-2067, 2017
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
An automatic seeded region growing for 2d biomedical image segmentation
MM Abdelsamea
International Conference on Environment and BioScience, 2011
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
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
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
Robust local–global SOM‐based ACM
MM Abdelsamea, G Gnecco
Electronics Letters 51 (2), 142-143, 2015
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
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
An enhancement neighborhood connected segmentation for 2D-cellular image
MM Abdelsamea
arXiv preprint arXiv:1407.3664, 2014
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
MCUa: Multi-level context and uncertainty aware dynamic deep ensemble for breast cancer histology image classification
Z Senousy, MM Abdelsamea, MM Gaber, M Abdar, UR Acharya, ...
IEEE Transactions on Biomedical Engineering 69 (2), 818-829, 2021
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
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