3 papers
eess.IV2025
Confidence-Weighted Semi-Supervised Learning for Skin Lesion Segmentation Using Hybrid CNN-Transformer Networks
Saqib Qamar
Automated skin lesion segmentation through dermoscopic analysis is essential for early skin cancer detection, yet remains challenging due to limited annotated training data. We pre…
eess.IV2020
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
Saqib Qamar, Parvez Ahmad, Linlin Shen
The brain tumor segmentation task aims to classify tissue into the whole tumor (WT), tumor core (TC), and enhancing tumor (ET) classes using multimodel MRI images. Quantitative ana…
eess.IV2020
Context Aware 3D UNet for Brain Tumor Segmentation
Parvez Ahmad, Saqib Qamar, Linlin Shen +1
Deep convolutional neural network (CNN) achieves remarkable performance for medical image analysis. UNet is the primary source in the performance of 3D CNN architectures for medica…