3 citations · 5 across the 12 of their papers we have counts for
12 papers
Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation
Moin Safdar, Shahzaib Iqbal, Mubeen Ghafoor +4
Medical image segmentation is essential for clinical applications such as disease diagnosis, treatment planning, and disease development monitoring because it provides precise morp…
LFRA-Net: A Lightweight Focal and Region-Aware Attention Network for Retinal Vessel Segmentatio
Mehwish Mehmood, Shahzaib Iqbal, Tariq Mahmood Khan +2
Retinal vessel segmentation is critical for the early diagnosis of vision-threatening and systemic diseases, especially in real-world clinical settings with limited computational r…
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…
Latent fingerprint enhancement for accurate minutiae detection
Abdul Wahab, Tariq Mahmood Khan, Shahzaib Iqbal +3
Identification of suspects based on partial and smudged fingerprints, commonly referred to as fingermarks or latent fingerprints, presents a significant challenge in the field of f…
AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation
Asim Naveed, Syed S. Naqvi, Tariq M. Khan +3
In computer-aided diagnosis tools employed for skin cancer treatment and early diagnosis, skin lesion segmentation is important. However, achieving precise segmentation is challeng…
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…
LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation
Hamza Farooq, Zuhair Zafar, Ahsan Saadat +3
Accurate segmentation of skin lesions within dermoscopic images plays a crucial role in the timely identification of skin cancer for computer-aided diagnosis on mobile platforms. H…
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…
A Robust Algorithm for Contactless Fingerprint Enhancement and Matching
Mahrukh Siddiqui, Shahzaib Iqbal, Bandar AlShammari +3
Compared to contact fingerprint images, contactless fingerprint images exhibit four distinct characteristics: (1) they contain less noise; (2) they have fewer discontinuities in ri…
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…