INTRODUCTION Non-melanoma skin cancer is the most common malignancy worldwide. Differentiating between malignant and benign skin tumors, however, can be challenging. As a result, various auxiliary tools have been developed to aid in the diagnosis of cutaneous neoplasms. Here, skin tumors were investigated through analysis of their digital image histograms and spectroscopic response under ultrav...

Correct and rapid diagnosis of skin tumours often requires biopsy and histopathological examination to differentiate benign lesions such as seborrhoeic keratoses or melanocytic naevi from premalignant and malignant lesions such as malignant melanoma. Particularly, to the untrained eye, any benign skin tumour-pigmented or nonpigmented-is easily mistaken for a malignant lesion. Qualified clinical...

The aim of our study was to elucidate the possible involvement of COX-2 in the development and/or progression of nonmelanocytic skin lesions. To evaluate the usefulness of that enzyme as a potential molecular marker, we examined the intensity and spatial distribution of COX-2 expression in selected types of such tumors using the same immunohistochemical procedure as in our earlier studies of me...

BACKGROUND Acral benign melanocytic lesions in white populations, particularly in subjects with atypical mole syndrome, have been poorly characterized until recently. The advent of dermoscopy has enabled more specific diagnoses of these pigmented skin lesions. OBJECTIVE To evaluate the clinical and dermoscopic features of benign volar lesions in a group of white patients with atypical mole sy...

The number of melanocytic nevi is the strongest risk factor for cutaneous melanoma. As pigmented skin lesions are visible to everybody, the question has been raised about whether people can identify themselves as being at risk for melanoma through self-counting of moles. In 1991, a total of 513 central European melanoma patients and 498 controls were asked to count the total number of nevi and ...

The development of science and technology (IPTEK) in the current era is growing very rapidly various fields such as industry, education, especially health sector. Many technologies can be used, one which artificial intelligence technology. This study aims to detect skin cancer images using CNN so that they efficient precise. research method uses convolutional neural network (CNN) method, namely...

BACKGROUND While melanocytic nevi have been associated with genetic factors and childhood sun exposure, several observations also suggest a potential hormonal influence on nevi. To test the hypothesis that nevi are associated with breast tumor risk, we explored the relationships between number of nevi and benign and malignant breast disease risk. METHODS AND FINDINGS We prospectively analyzed...