Effects on skin caused by the dose from linear accelerator (LINAC) opposing portal irradiation and TomoDirect 3-D modeling treatment according to the radiation devices and treatment methods were measured, and a comparative analysis was performed. Two groups of 10 patients each were created and measurements were carried out using an optically stimulated luminescence dosimeter. These patients were already receiving radiation treatment in the hospital. Using the SPSS statistical program, the minimum and maximum average standard deviations of the measured skin dose data were obtained. Two types of treatment method were selected as independent variables; the measured points and total average were the dependent variables. An independent sample T-test was used, and it was checked whether there was a significance probability between the two groups. The average of the measured results for the LINAC opposing portal radiation was 117.7 cGy and PDD 65.39% for the inner breast, 144.7 cGy and PDD 80.39% for the outer breast, 143.2 cGy and PDD 79.56% for the upper breast, 151.4 cGy and PDD 84.11% for the lower breast, 149.6 cGy and PDD 83.11% for the axilla, and 141.32 cGy and PDD 78.51% for the total average. In contrast, for TomoDirect 3-D conformal radiotherapy, the corresponding measurement values were 137.6 cGy and PDD 76.44%, 152.3 cGy and PDD 84.61%, 148.6 cGy and PDD 82.56%, 159.7 cGy and PDD 88.72%, and 148.6 cGy PDD 82.56%, respectively, and the total average was 149.36 cGy and PDD 82.98%. To determine if the difference between the total averages was statistically significant, the independent sample T-test of the SPSS statistical program was used, which indicated that the P-value was P=0.024, which was 0.05 lower than the significance level. Thus, it can be understood that the null hypothesis can be dismissed, and that there was a difference in the averages. In conclusion, even though the treatment dose was similar, there could be a difference in the dose entering the body surface from the radiation treatment plan; however, depending on the properties of the treatment devices, there is a difference in the dose affecting the body surface. Thus, the absorbed dose entering the body surface can be high. During breast cancer radiotherapy, radiation dermatitis occurs in almost all patients. Most patients have a difficult time while undergoing treatment, and therefore, when choosing a radiotherapy treatment method, minimizing radiation dermatitis is an important consideration. classification of side-effect levels, of a total of 284 patients, 207 patients had 0th and 1st stage minor radiation dermatitis, and 77 patients had 2nd or greater stage serious radiation dermatitis. Keywords9) The main symptom of radiation dermatitis is red spots, and oily or dry skin accompanied by severe itching and pain in a portion of the patients. 10,11)The reason why each patient has different degrees of symptoms, from the patient perspective, is the cancer size or skin type and the degree of skin moisture; when looking at it from the treatment...

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The result of vegetation cover classification greatly depends on the classification methods. Accuracy analysis is mostly performed using the error matrix in remote sensing. In recent remote sensing, image classification has been carried out on the basis of deep learning. In the field of image processing in computer science, Intersection over Union (IoU) is mainly used for accuracy analysis. In this study, the error matrix, which is frequently used in remote sensing, and IoU, which is mainly used for deep learning images, were compared and reviewed to analyze their accuracy levels for the results of vegetation index calculation. The results of vegetation index calculation were applied to the comparison of the accuracy levels of IoU and the error matrix. According to the results of accuracy analysis using the error matrix, which is based on random points, the accuracy of the normalized difference vegetation index (NDVI) was shown to be 82.4% and that of deep learning was shown to be 93.7%, with a difference of about 11.3%.