109 citations · 344 across the 6 of their papers we have counts for
6 papers
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices
Owais Ali, Hazrat Ali, Syed Ayaz Ali Shah +1
Deep learning techniques, particularly convolutional neural networks, have shown great potential in computer vision and medical imaging applications. However, deep learning models…
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation
Mehreen Mubashar, Hazrat Ali, Christer Gronlund +1
U-Net is a widely adopted neural network in the domain of medical image segmentation. Despite its quick embracement by the medical imaging community, its performance suffers on com…
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network
Muhammad Shakaib Iqbal, Hazrat Ali, Son N. Tran +1
Food resources face severe damages under extraordinary situations of catastrophes such as earthquakes, cyclones, and tsunamis. Under such scenarios, speedy assessment of food resou…
Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks
Faizan Munawar, Shoaib Azmat, Talha Iqbal +2
Chest X-ray (CXR) is a low-cost medical imaging technique. It is a common procedure for the identification of many respiratory diseases compared to MRI, CT, and PET scans. This pap…
Human Activity Recognition using Multi-Head CNN followed by LSTM
Waqar Ahmad, Misbah Kazmi, Hazrat Ali
This study presents a novel method to recognize human physical activities using CNN followed by LSTM. Achieving high accuracy by traditional machine learning algorithms, (such as S…
An Intelligent Monitoring System of Vehicles on Highway Traffic
Sulaiman Khan, Hazrat Ali, Zia Ullah +1
Vehicle speed monitoring and management of highways is the critical problem of the road in this modern age of growing technology and population. A poor management results in freque…