Skin cancer diagnosis often relies on image segmentation as a crucial aid, and a high-
performance segmentation can lower misdiagnosis risks. Part of the medical devices often …

Skin disorders significantly impact quality of life, necessitating advanced diagnostic tools.
Machine Learning (ML) and Deep Learning (DL), particularly Convolutional Neural …

Skin diseases are a significant concern for public health, demanding accurate diagnosis for
effective treatment. However, traditional diagnostic methods often suffer from subjectivity …

Abstract Recently, Vision Transformers (ViTs) have emerged as a breakthrough in computer
vision and image analysis. Still, their exceptional performance depends on the availability of …

Automatic skin segmentation is an efficient method for the early diagnosis of skin cancer,
which can minimize the missed detection rate and treat early skin cancer in time. However …

As lung cancer has emerged as the top contributor to cancer-related fatalities, efficient and
precise diagnostic methods are essential for efficient diagnosis. This research introduces a …

Rationale and Objectives Cardiac magnetic resonance imaging is a crucial tool for
analyzing, diagnosing, and formulating treatment plans for cardiovascular diseases …

The skin acts as an important barrier between the body and the external environment,
playing a vital role as an organ. The application of deep learning in the medical field to solve …