3 citations · 8 across the 16 of their papers we have counts for
9 papers · 1 filter
LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis
Mehwish Mehmood, Shahzaib Iqbal, Tariq Mahmood Khan +2
The analysis of retinal images for the diagnosis of various diseases is one of the emerging areas of research. Recently, the research direction has been inclined towards investigat…
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation
Tariq M Khan, Dawn Lin, Shahzaib Iqbal +1
Incorporating modern computer vision techniques into clinical protocols shows promise in improving skin lesion segmentation. The U-Net architecture has been a key model in this are…
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation
Shahzaib Iqbal, Tariq M. Khan, Syed S. Naqvi +2
Deep learning has shown great potential for automated medical image segmentation to improve the precision and speed of disease diagnostics. However, the task presents significant d…
EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
Shahzaib Iqbal, Hasnat Ahmed, Muhammad Sharif +3
Segmenting ultrasound images is critical for various medical applications, but it offers significant challenges due to ultrasound images' inherent noise and unpredictability. To ad…
TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation
Shahzaib Iqbal, Muhammad Zeeshan, Mehwish Mehmood +2
Early detection of skin cancer relies on precise segmentation of dermoscopic images of skin lesions. However, this task is challenging due to the irregular shape of the lesion, the…
LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation
Tariq M Khan, Shahzaib Iqbal, Syed S. Naqvi +2
Retinal diseases can cause irreversible vision loss in both eyes if not diagnosed and treated early. Since retinal diseases are so complicated, retinal imaging is likely to show tw…