In contrast to digital image adversarial attacks, adversarial patch attacks involve physical
operations that project crafted perturbations into real-world scenarios. During the digital-to …

In personal healthcare, scalp health is often overlooked despite its critical role in systemic
health. Traditional manual diagnostic methods for scalp conditions are invasive and …

Long-tailed learning is considered to be an extremely challenging problem in data
imbalance learning. It aims to train well-generalized models from a large number of images …

The Gleason groups serve as the primary histological grading system for prostate cancer,
providing crucial insights into the cancer's potential for growth and metastasis. In clinical …

Diagnosing diseases is crucial in the medical field, but the limited availability of large-scale
and diverse data, as well as the existence of different modal tasks, poses challenges. Small …

Multimodal learning has demonstrated promising advantages over single-modal
approaches in the diagnosis of skin lesions. However, these methods often suffer from …