Dermatoscopic image dataset for early diagnosis of malignant skin neoplasms

The purpose of the research is to develop a dermatoscopic images containing high-quality labeling of clinically significant signs of skin neoplasms of the Russian population skin phototypes, intended for early diagnostics and detection of malignant skin neoplasms. The formation and implementation of sets of dermatoscopic images in automated systems and approaches to the early malignant skin neoplasms detection during medical examinations of patients is a relevant research area.

Methods. An approach to the formation of a dermatoscopic images data set with high-quality labeling of clinically significant features is proposed. The basis of the formed data set is dermatoscopic skin neoplasmsimages with confirmed diagnoses, including using clinical research methods, according to the existing nosology of the dermatovenereological profile patients of the Russian Federation population by dermatologists and oncologists. A distinctive feature of the developed data set, in addition to belonging to the skin phototype of the Russian population, is the high-quality labeling of clinically significant features, which allows the developed set to be used in methods and algorithms of machine learning and pattern recognition.

Results. The generated data set of dermatoscopic images contains 657 dermatoscopic images, accompanied by extended metadata and preliminary clinical conclusions, of melanocytic (melanoma and nevus) and non-melanocytic (squamous cell carcinoma, dermatofibroma, vascular lesions, keratosis, etc.) neoplasms. This data set is based on the distribution both by age criterion and by the affiliation and course systemic nature of the disease in patients.

Conclusion. The practical focus of the developed dermatoscopic images data set with high-quality marking of clinically significant features allows the use of the generated images both in decision support systems for doctors in medical practice and in systems based on the machine learning methods and algorithms usage for the early malignant skin neoplasms diagnosis.

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