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『LED Dot Correction Controller』

Applying technology to measure the brightness and color distribution of objects for quality control of LED displays!

The "LED Dot Correction Controller" is a product that applies the technology of analyzing images from CCD cameras to measure the brightness and chromaticity distribution of objects for quality control of LED displays. Even among LEDs of the same manufacturer and model, there is variation in brightness and chromaticity. Therefore, to achieve a uniform brightness and chromaticity distribution in LED displays, it is necessary to perform output correction for each individual LED. By applying this system to address this issue, we capture the variations in brightness of each LED based on the measured results, and by adding feedback control to ensure uniformity, we correct the output levels to eliminate brightness unevenness. 【Features】 ■ Reduces variations in brightness of individual LEDs ■ Corrects output levels through feedback control ■ Eliminates brightness unevenness *For more details, please refer to the PDF document or feel free to contact us.

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Tohoku Univ. Technology:Cancer prognosis prediction method:T20-2962

Development of prognostic prediction method with the novel radiomic feature based on graph theory

 In recent years, the research field to decode the biological characteristics of lesion (radiomics) by analyzing in global a large number of images extracted from medical image database has attracted attention. One potential application of radiomics is to predict the patient prognosis with tumor disease. However, it is difficult to represent phenotypic information of tumor and local information inside tumor with accuracy, so further progress of this research is required.   In this invention, inventors have developed a new radiomic feature based on graph theory. Medical image processed by graph theory feature, and tumor image with relatively good prognosis have a smaller line density than those with poor prognosis. Moreover, the rad score calculated by graph theory feature can clearly indicate the tumor status change compared to the value calculated by conventional feature. Therefore, this invention is able to predict the cancer treatment prognosis with higher accuracy than conventional method.

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