Author

J. Hoxha

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Open access Aug 2025

CE-RS-SBCIT: A novel channel-enhanced hybrid CNN–transformer with residual, spatial, and boundary-aware learning for brain tumor MRI analysis

Brain tumors are among the most life-threatening diseases, where early detection and accurate classification are critical for effective diagnosis and treatment planning. Although deep learning-based computer-aided diagnosis systems have shown remarkable progress, conventional convolutional neural networks (CNNs) and Vi...

Mirza Mumtaz Zahoor, S. Khan, Tanja Pavleska et al. · Scientific Reports · 11 citations

Aug 2026

A Novel Boundary‐Aware Hybrid CNN–Transformer Framework for Breast Cancer Detection in Ultrasound Images

The CB‐Res‐RBCMT is introduced, a hybrid framework that combines customized residual CNNs with ViT components for detailed BUSI cancer analysis, outperforming existing CNN and ViT‐based approaches and validates the model's robust clinical applicability across diverse screening scenarios.

Aamir Mehmood, Yue Hu, Julian Hoxha et al. · International journal of ima... · 0 citations