94 citations · 140 across the 8 of their papers we have counts for
3 papers · 1 filter
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
Narinder Singh Punn, Sonali Agarwal
Deep learning has brought the most profound contribution towards biomedical image segmentation to automate the process of delineation in medical imaging. To accomplish such task, t…
RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
Narinder Singh Punn, Sonali Agarwal
The advancements in deep learning technologies have produced immense contributions to biomedical image analysis applications. With breast cancer being the common deadliest disease…
MAG-Net: Multi-task attention guided network for brain tumor segmentation and classification
Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Brain tumor is the most common and deadliest disease that can be found in all age groups. Generally, MRI modality is adopted for identifying and diagnosing tumors by the radiologis…