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

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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

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…

eess.IV20241 cited

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…

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…