Aiub Ketab

HybridMedNet: An Efficient Deep Learning Framework Based on CNN–Transformer Architecture for Benign and Malignant Thyroid Nodule Classification Using Ultrasound Images

Thyroid nodule assessment often involves ultrasound imaging, but differentiating benign from malignant nodules remains challenging due to image noise, acquisition variations, and subtle visual differences. Convolutional neural networks (CNNs) effectively learn local image features, but their restricted receptive fields...