3 papers
eess.IV2025
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images
Muhammad Azeem Aslam, Asim Naveed, Nisar Ahmed
Breast ultrasound imaging is a valuable tool for early breast cancer detection, but automated tumor segmentation is challenging due to inherent noise, variations in scale of lesion…
cs.CV2024
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…
eess.IV2024
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…