This work aims to determine the most suitable technique for dermoscopy image
augmentation to improve the performance of lesion classifications. Also, a new …

Skin cancer is a deadly disease, and its early diagnosis enhances the chances of survival.
Deep learning algorithms for skin cancer detection have become popular in recent years. A …

Objective: Skin diseases constitute a widespread health concern, and the application of
machine learning and deep learning algorithms has been instrumental in improving …

With the increasing incidence of severe skin diseases, such as skin cancer, endoscopic
medical imaging has become urgent for revealing the internal and hidden tissues under the …

Acne detection, utilizing prior knowledge to diagnose acne severity, number or position
through facial images, plays a very important role in medical diagnoses and treatment for …

Skin cancer poses a significant healthcare challenge, requiring precise and prompt
diagnosis for effective treatment. While recent advances in deep learning have dramatically …

Skin diseases are one of the most common illnesses in human beings worldwide. The early
detection of skin diseases becomes important venture to reduce diseases mortality …

Innovative technologies in dermatology allow for the early screening of skin cancer, which
results in a reduction in the mortality rate and surgical treatments. The diagnosis of …

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

In medical diagnostic systems, the most challenging task is to segment and classify the
varieties of skin disorders from dermoscopic images. For this purpose, Bootstrapping of Fine …