Hyperspectral Image Processing for Detection and Grading of Skin Erythema

Abstract : Visual assessment is the most common clinical investigation of skin reactions in radiotherapy. Due to the subjective nature of this method, additional noninvasive techniques are needed for more accurate evaluation. Our goal is to evaluate the effectiveness of hyperspectral image analysis for that purpose. In this pilot study, we focused on detection and grading of skin Erythema. This paper reports our proposed processing pipeline and experimental findings. Experiments have been performed to demonstrate the efficacy of the proposed approach for (1) reproducing clinical assessments, and (2) outperforming RGB imaging data.
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Communication dans un congrès
SPIE Medical Imaging, Feb 2017, Orlando, Florida, United States
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https://hal.inria.fr/hal-01408854
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Dernière modification le : samedi 27 janvier 2018 - 01:31:40
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  • HAL Id : hal-01408854, version 2

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Ali Madooei, Ramy Abdlaty, Lilian Doerwald-Munoz, Joseph Hayward, Mark Drew, et al.. Hyperspectral Image Processing for Detection and Grading of Skin Erythema. SPIE Medical Imaging, Feb 2017, Orlando, Florida, United States. 〈hal-01408854v2〉

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