2018
DOI: 10.3389/fphy.2018.00072
|View full text |Cite
|
Sign up to set email alerts
|

Hyperspectral Imaging and Classification for Grading Skin Erythema

Abstract: Erythema is an inflammatory condition of the skin that is commonly used as a feature to monitor the progression of cutaneous diseases or treatment induced side effects. In radiation therapy, skin erythema is routinely assessed visually by an expert using standardized grading criteria. However, visual assessment (VA) is subjective and commonly used grading tools are too coarse to score the onset of erythema. Therefore, an objective method capable of quantitatively grading early erythema changes may help identif… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
15
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 20 publications
(15 citation statements)
references
References 26 publications
0
15
0
Order By: Relevance
“…For the intra-rater reliability, the following parameters were reported: intraclass correlation coefficients (ICC) = 0.55-1.00 [8][9][10][11] and Fleiss' kappa (KF) = 0.69 [8]. The inter-rater reliability was, as expected, lower, with the reported ICC = 0.41-0.78 [8,12], KC = 0.18-0.51 [13], and KF = 0.71 [8] Various custom-made or commercial imaging or spectroscopic devices (e.g., Mexameter MX 18, Courage-Khazaka Electronic, Köln, Germany) tried to overcome the subjectivity of erythema evaluation [6,[14][15][16][17] by calculating an erythema index (EI), which is a ratio between those spectral or imaging components that correlate well with the skin redness. A quotient between the red and green colors is the most common since the skin pigment melanin has a smaller impact on these two channels.…”
Section: Introductionmentioning
confidence: 65%
See 1 more Smart Citation
“…For the intra-rater reliability, the following parameters were reported: intraclass correlation coefficients (ICC) = 0.55-1.00 [8][9][10][11] and Fleiss' kappa (KF) = 0.69 [8]. The inter-rater reliability was, as expected, lower, with the reported ICC = 0.41-0.78 [8,12], KC = 0.18-0.51 [13], and KF = 0.71 [8] Various custom-made or commercial imaging or spectroscopic devices (e.g., Mexameter MX 18, Courage-Khazaka Electronic, Köln, Germany) tried to overcome the subjectivity of erythema evaluation [6,[14][15][16][17] by calculating an erythema index (EI), which is a ratio between those spectral or imaging components that correlate well with the skin redness. A quotient between the red and green colors is the most common since the skin pigment melanin has a smaller impact on these two channels.…”
Section: Introductionmentioning
confidence: 65%
“…Various custom-made or commercial imaging or spectroscopic devices (e.g., Mexameter MX 18, Courage-Khazaka Electronic, Köln, Germany) tried to overcome the subjectivity of erythema evaluation [ 6 , 14 , 15 , 16 , 17 ] by calculating an erythema index (EI), which is a ratio between those spectral or imaging components that correlate well with the skin redness. A quotient between the red and green colors is the most common since the skin pigment melanin has a smaller impact on these two channels.…”
Section: Introductionmentioning
confidence: 99%
“…Color visible images are often used for quantification of skin erythema. [ 25 ] We used a TEI derived from color visible images to quantify erythema. Figure 8 shows that FEI appears to be indistinguishable for the first 11 days, and after which, the signal appears to be decreased.…”
Section: Resultsmentioning
confidence: 99%
“…A number of hyperspectral imaging systems have been recently developed for the analysis of skin features. One of such uses monochromatic lasers or optical filters (either filter wheels or tunable filters) to provide specific spectral illumination and uses a single array detector to sequentially capture the tissue reflection images [6][7][8][9]. For example, Kim et al used LED to provide illumination in multispectral imaging [10].…”
Section: Introductionmentioning
confidence: 99%