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Multispectral skin lesion images

Dataset

Description

This project aims at developing an advanced diagnostic methodology for fast grouping of whole-body detected skin malformations and identifying of dermal-invaded malignancies, including skin melanomas. The proposed method is based on combining the triple spectral line whole-body imaging at the visible spectral range with parallel imaging within a near-infrared (NIR) spectral band. A prototype equipment for such combined imaging will be developed and clinically validated, with subsequent elaboration of a diagnostic protocol for clinical implementation. The three visible spectral line images allow detecting all patient’s skin lesions sized >1 mm and mapping the content changes of the main skin chromophores at each of them, with their further sorting into appropriate pathology groups. Thanks to deeper light penetration into skin, the NIR band images taken in parallel allow immediate detection of the malignant skin malformations which invade the dermal layer of skin.
Date made available9 Feb 2026
PublisherDataverseLV
Geographical coverageLatvia

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