Data augmentation involves artificially expanding a dataset by applying various
transformations to the existing data. Recent developments in deep learning have advanced …

Recent advancements in retinal vessel segmentation, which employ transformer-based and
domain-adaptive approaches, show promise in addressing the complexity of ocular …

Hand gesture recognition (HGR) is a challenging and fascinating research topic in computer
vision with numerous daily life applications. In HGR, computers aim to identify and classify …

Clinical diagnosis of breast malignancy (BM) is a challenging problem in the recent era. In
particular, Deep learning (DL) models have continued to offer important solutions for early …

Medical image augmentation is a cornerstone of enhancing the performance and
generalization of machine learning models in the medical domain. Traditional augmentation …

Clinical diagnosis of breast malignancy (BM) still remains challenging, with deep learning
(DL) models showing promise for early detection. However, their performance is often …

Brain tumors remain a critical global health challenge, necessitating advancements in
diagnostic techniques and treatment methodologies. A tumor or its recurrence often needs to …

Data augmentation involves artificially expanding a dataset by applying various
transformations to the existing data. Recent developments in deep learning have advanced …