Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …

Artificial Intelligence (AI) is progressively permeating medicine, notably in the realm of
assisted diagnosis. However, the traditional unimodal AI models, reliant on large volumes of …

Skin cancer is one of the most common types of malignancy, affecting a large population
and causing a heavy economic burden worldwide. Over the last few years, computer-aided …

The medical sciences are facing a major problem with the auto-detection of disease due to
the fast growth in population density. Intelligent systems assist medical professionals in early …

Skin cancer is one of the fatal cancers worldwide. Early detection of this disease can
significantly increase the survival rate. In this study, a multi-modal and soft attention based …

In recent years, there has been a significant improvement in the accuracy of the
classification of pigmented skin lesions using artificial intelligence algorithms. Intelligent …

Highly focused images of skin captured with ordinary cameras, called macro-images, are
extensively used in dermatology. Being highly focused views, the macro-images contain …

Skin cancer affects people of all skin tones, including those with darker complexions.
Melanomas are known as malignant tumors of skin cancer, resulting in an adverse …

Foundation models (FM), which are large-scale artificial intelligence (AI) models that can
complete a range of tasks, represent a paradigm shift in AI. These versatile models …

Abstract Machine learning contributes in improving the accuracy of melanoma detection.
There are extensive studies in classic and deep learning-based approaches for melanoma …