A Hybrid Compressive Sensing and Classification Approach for Dynamic Storage Management of Vital Biomedical Signals

HM Emara, W El-Shafai, AD Algarni, NF Soliman… - IEEE …, 2023 - ieeexplore.ieee.org
The efficient compression and classification of medical signals, particularly
electroencephalography (EEG) and electrocardiography (ECG) signals in wireless body …

Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN model

MR Shoaib, HM Emara, J Zhao, W El-Shafai… - Computers in Biology …, 2024 - Elsevier
Diabetic retinopathy (DR) is a significant cause of vision impairment, emphasizing the critical
need for early detection and timely intervention to avert visual deterioration. Diagnosing DR …

A Systematic Literature Review of CNN Approaches in Classifying Brain Tumor

AY Paulindino, B Pardamean… - 2023 6th International …, 2023 - ieeexplore.ieee.org
The ability of Convolutional Neural Networks (CNNs) to accurately discriminate between
normal and tumorous brain tissues has been promising. The review focuses on the different …

Apply Agglomerative Algorithm and Vgg16 on Brain Tumor Segmentation (Dataset to be Used Brats)

LN Vempaty, M Tatiya, A Shrivastava… - … and Informatics (IC3I …, 2023 - ieeexplore.ieee.org
Medical imaging analysis relies heavily on the segmentation of brain tumours to help in
treatment planning, diagnosis and patient monitoring. The recent breakthroughs in artificial …

Copy-Move Forgery Detection and Classification Using Improved Butterfly Optimization Algorithm-based Convolutional Neural Network.

R GK - International Journal of Intelligent Engineering & …, 2024 - search.ebscohost.com
Copy-move image forgery involves digitally modifying an image by copying and pasting
content, hiding foreground objects, or highlighting them through duplication. However, as …

[PDF][PDF] A Hybrid Compressive Sensing and Classification Approach for Dynamic Storage Management of Vital Biomedical Signals

AD ALGARNI, NF SOLIMAN, FE ABD EL-SAMIE - 2023 - researchgate.net
The efficient compression and classification of medical signals, particularly
electroencephalography (EEG) and electrocardiography (ECG) signals in wireless body …