Random forest based erythema grading for psoriasis

@article{Gupta2015RandomFB,
  title={Random forest based erythema grading for psoriasis},
  author={Mithun Das Gupta and Srinidhi Srinivasa and J. Madhukara and Meryl Antony},
  journal={2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)},
  year={2015},
  pages={819-823}
}
Psoriasis Area and Severity Index, or PASI score [7] is one of the most prevalent scoring indices for Psoriasis. Erythema or redness of skin is an important identifier for evaluation of PASI score. Extra subjectiveness in the evaluation of erythema has been observed, since the perception of redness can be influenced by the skin tone, ambient lighting and many other such factors which are difficult to control in a clinical setting. We propose a novel colorimetric feature for erythema grading by… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 14 references

Objective assessment of psoriasis erythema for PASI scoring

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society • 2008
View 4 Excerpts
Highly Influenced

Severe psoriasis--oral therapy with a new retinoid.

Dermatologica • 1978
View 3 Excerpts
Highly Influenced

Objective measurement of erythema in psoriasis using digital color photography with color calibration

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society • 2014
View 1 Excerpt

Erythema detection in digital skin images

2010 IEEE International Conference on Image Processing • 2010
View 1 Excerpt

Multiscale Poisson Intensity and Density Estimation

IEEE Transactions on Information Theory • 2007
View 1 Excerpt

An image based system to automatically and objectively score the degree of redness and scaling in psoriasis lesions

D. Delgado, B. Ersboll, J. M. Carstensen
13th Danish Conference on Image Analysis and Pattern Recognition, pages 130–137 • 2004
View 1 Excerpt

Similar Papers

Loading similar papers…