Computerized methods provide analyses of skin lesions from dermoscopy images
automatically. However, the images acquired from dermoscopy devices are noisy and cause …

The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …

Artificial intelligence (AI) has recently made great advances in image classification and
malignancy prediction in the field of dermatology. However, understanding the applicability …

Skin cancer is a severe disease that is common and causes death if left untreated. When
skin cancer is detected early through dermatoscopic imaging, the possibility of definitive …

Skin cancer is one of the most dangerous types of cancer due to its immediate appearance
and the possibility of rapid spread. It arises from uncontrollably growing cells, rapidly …

Skin lesion classification is vital for the early detection and diagnosis of skin diseases,
facilitating timely intervention and treatment. However, existing classification methods face …

Melanoma is an acute and chronic skin disease, and if left untreated, it increases morbidity
in the patient. The high degree of similarity between the images of different classes and the …

Melanoma, a highly prevalent and lethal form of skin cancer, has a significant impact
globally. The chances of recovery for melanoma patients substantially improve with early …

A dermatologist-like automatic classification system is developed in this paper to recognize
nine different classes of pigmented skin lesions (PSLs), using a separable vision transformer …

Skin lesions are localized regions of the skin exhibiting atypical growth or appearance and
can be either benign or malignant. Detecting and classifying these lesions accurately is …