  Reflectance Confocal Microscopy (RCM) is a non-invasive imaging technique
used in biomedical research and clinical dermatology. It provides virtual
high-resolution images of the skin and superficial tissues, reducing the need
for physical biopsies. RCM employs a laser light source to illuminate the
tissue, capturing the reflected light to generate detailed images of
microscopic structures at various depths. Recent studies explored AI and
machine learning, particularly CNNs, for analyzing RCM images. Our study
proposes a segmentation strategy based on textural features to identify
clinically significant regions, empowering dermatologists in effective image
interpretation and boosting diagnostic confidence. This approach promises to
advance dermatological diagnosis and treatment.
