most citedTESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation

3 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2024

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…

eess.IV2024

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…

eess.IV20243 cited

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…

cs.CV2024

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…

eess.IV2024

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…

eess.IV20232 cited

LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel Segmentation

Mufassir M. Abbasi, Shahzaib Iqbal, Asim Naveed +3

Blinding eye diseases are often correlated with altered retinal morphology, which can be clinically identified by segmenting retinal structures in fundus images. However, current m…