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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. · 11 citations
Aug 2026

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

Recent advancements in breast cancer detection using deep CNNs and vision transformers (ViTs) on breast ultrasound images (BUSI) have demonstrated strong performance. However, model complexity and variations in contrast, texture, and morphology continue to limit effectiveness. This study introduces the CB‐Res‐RBCMT, a...

Aamir Mehmood, Yue Hu, J. Hoxha et al. · 0 citations

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