Spectrophotometric technology for the early detection of cutaneous melanoma

This paper presents the design and experimental outcomes of an ongoing research project aimed at the early detection of melanoma by means of a new diagnostic device. This device, based on the principles of spectrophotometry, is expected to improve upon the current diagnostic methods, which are known to carry a margin of error quantified as 10-20%. This article presents the implemented technology, in the form of two scanning prototypes, the current experimental work, and the analysis procedures leading to the development of a diagnostic model based upon the spectral representation of pigmented lesions

E. RAPOSIO et al.: QUALI-QUANTITATIVE ANALYSIS QUALI-QUANTITATIVE ANALYSIS IN THE SPECTROPHOTOMETRIC DIAGNOSIS OF CUTANEOUS MELANOMA

Abstract: This article presents a set of software tools which are used in conjunction with spectrophotometric technology to support the quali-quantitative analysis of pigmented lesions and their classification as either benign or malignant on the basis of their dominant spectral features. The software components interact with their hardware counterparts to acquire, reduce and analyse spectral images of the lesion directly from the patient’s skin. While the system is not intended to replace the specialist’s judgment in the diagnosis of melanoma, there is an indication that clearly negative cases can be discriminated against unclear cases requiring further investigation

Spectrophotometric technology for the early detection of cutaneous melanoma

This paper presents the design and experimental out comes of an ongoing research project aimed at the early detection of melanoma by means of a new diagnostic device. This device, based on the principles of spectrophotometry, is expected to improve upon the current diagnostic methods, which are known to carr y a margin of error quantified as 10-20%. This article presents the implemented technology, in the form of two scanning prototypes, the current experimental work, and the analysis procedures leading to the develop ment of a diagnostic model based upon the spectral representa tion of pigmented lesions