5 citations · 7 across the 4 of their papers we have counts for
4 papers
CURVETE: Curriculum Learning and Progressive Self-supervised Training for Medical Image Classification
Asmaa Abbas, Mohamed Gaber, Mohammed M. Abdelsamea
Identifying high-quality and easily accessible annotated samples poses a notable challenge in medical image analysis. Transfer learning techniques, leveraging pre-training data, of…
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification
Asmaa Abbas, Mohamed Gaber, Mohammed M. Abdelsamea
Curriculum learning strategies have been proven to be effective in various applications and have gained significant interest in the field of machine learning. It has the ability to…
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Gaber
Due to the high availability of large-scale annotated image datasets, knowledge transfer from pre-trained models showed outstanding performance in medical image classification. How…
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
Chest X-ray is the first imaging technique that plays an important role in the diagnosis of COVID-19 disease. Due to the high availability of large-scale annotated image datasets,…