The significance of spectrophotometric image analysis for diagnosis of the melanocytic skin tumours in association with their thickness

Sakalauskienė, Kristina; Valiukevičienė, Skaidra; Raišutis, Renaldas; Linkevičiūtė, Gintarė

doi:10.1111/srt.12587

Cited by 1 publication

(2 citation statements)

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“…In previous works, we tested the separate use of spectrophotometric analysis and HFUS on skin tumor depth prediction and quantitative differentiation of lesions (melanocytic naevus (MN) or CM) [28,34]. Moreover, we have performed an investigation by an indirect combination of a set of quantitative parameters estimated during the analysis of ultrasonic B-scan images and digital dermatoscopy images.…”

Section: Introductionmentioning

confidence: 99%

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Diagnostics of Melanocytic Skin Tumours by a Combination of Ultrasonic, Dermatoscopic and Spectrophotometric Image Parameters

et al. 2020

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Dermatoscopy, high-frequency ultrasonography (HFUS) and spectrophotometry are promising quantitative imaging techniques for the investigation and diagnostics of cutaneous melanocytic tumors. In this paper, we propose the hybrid technique and automatic prognostic models by combining the quantitative image parameters of ultrasonic B-scan images, dermatoscopic and spectrophotometric images (melanin, blood and collagen) to increase accuracy in the diagnostics of cutaneous melanoma. The extracted sets of various quantitative parameters and features of dermatoscopic, ultrasonic and spectrometric images were used to develop the four different classification models: logistic regression (LR), linear discriminant analysis (LDA), support vector machine (SVM) and Naive Bayes. The results were compared to the combination of only two techniques out of three. The reliable differentiation between melanocytic naevus and melanoma were achieved by the proposed technique. The accuracy of more than 90% was estimated in the case of LR, LDA and SVM by the proposed method.

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Section: Introductionmentioning

confidence: 99%

“…Diffuse reflectance spectrophotometry (DRS) records light reflected off melanin, collagen, hemoglobin and other cutaneous chromophores [ 28 ], producing images of the visible and near-infrared spectrum (400–1000 nm) [ 23 ]. The light used can penetrate the papillary dermis, reaching 2 mm lesion depth.…”

Section: Introductionmentioning

confidence: 99%