Skin lesions are essential for the early detection and management of a number of
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …

The world population is growing very fast and the lifestyle of human beings is changing with
time and place. So, there is a need for disease management which includes disease …

Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …

Background: Monkeypox virus has quickly expanded throughout several nations, raising
serious public health concerns. Lack of precautionary measures raises concerns about the …

Convolutional neural network (CNN) has promoted the development of diagnosis
technology of medical images. However, the performance of CNN is limited by insufficient …

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 …

Nowadays, computer vision plays an essential role in disease detection, computer-aided
diagnosis, and patient risk identification. This is especially true for skin cancer, which can be …

In computer vision applications like surveillance and remote sensing, to mention a few, deep
learning has had considerable success. Medical imaging still faces a number of difficulties …

Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …

Skin cancer (SC) is a common disease caused due to ultraviolet radiation. Accurate SC
detection is degraded due to some artifacts such as lesion variations in shape, size, color …