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Determination of Noise Threshold from Signal Histogram in the Wavelet Domain
Kim, Eunseo,Lee, Kamin,Yang, Sejung,Lee, Byung-Uk The Institute of Electronics and Information Engin 2014 전자공학회논문지 Vol.51 No.2
Thresholding in frequency domain is a simple and effective noise reduction technique. Determination of the threshold is critical to the image quality. The optimal threshold minimizing the Mean Square Error (MSE) is chosen adaptively in the wavelet domain; we utilize an equation of the MSE for the soft-thresholded signal and the histogram of wavelet coefficients of the original image and noisy image. The histogram of the original signal is estimated through the deconvolution assuming that the probability density functions (pdfs) of the original signal and the noise are statistically independent. The proposed method is quite general in that it does not assume any prior for the source pdf.
Determination of Noise Threshold from Signal Histogram in the Wavelet Domain
Eunseo Kim,Kamin Lee,Sejung Yang,Byung-Uk Lee 대한전자공학회 2014 전자공학회논문지 Vol.51 No.2
Thresholding in frequency domain is a simple and effective noise reduction technique. Determination of the threshold is critical to the image quality. The optimal threshold minimizing the Mean Square Error (MSE) is chosen adaptively in the wavelet domain; we utilize an equation of the MSE for the soft-thresholded signal and the histogram of wavelet coefficients of the original image and noisy image. The histogram of the original signal is estimated through the deconvolution assuming that the probability density functions (pdfs) of the original signal and the noise are statistically independent. The proposed method is quite general in that it does not assume any prior for the source pdf.
( Eunseo Lee ),( Sunghwan Yoo ),( Sukhyeon Jeong ),( In-jung Kim ),( Sora Kim ),( Hye Young Chang ),( Jung Il Lee ),( Kwan Sik Lee ),( Hyun Woong Lee ) 대한간학회 2020 춘·추계 학술대회 (KASL) Vol.2020 No.1
Aims: Some studies have shown a poor prognosis for hepatocellular carcinoma (HCC) patients whose etiology is viral. This study is to evaluate the outcomes of the patients diagnosed to resectable HCC, according to the etiology of the disease due to the differences in prognosis between viral and non-alcoholic fatty liver disease (NAFLD). Methods: A total of 264 patients who received hepatectomy for the treatment of HCC between 2005 and 2019 were performed a review of medical records. They were divided into groups according to the cause of liver disease, followed by overall and disease-free survival analysis for comparison. Results: The cause of HCC consisted of 222 hepatitis B virus (HBV) (69.4%), 14 hepatitis C virus (HCV) (4.4%), and 28 non-alcoholic steatohepatitis (NASH) (7.9%). There was no statistically significant difference in the sex, tumor stage (BCLC and AJCC 7th) of the groups of patients divided according to the etiology of HCC. However, the mean age was higher in NAFLD (NAFLD 72 years, vs. HBV 62 years, HCV 68 years, P<0.001). The presence of liver cirrhosis was lower in NAFLD (NAFLD 14.3%, vs. HBV 51.8%, HCV 50%, P=0.001). Overall survival (OS) at five years of the patients with HBV, HCV and NAFLD were 88.2%, 74.1%, and 74.6%, respectively (P=0.031). Disease-free survival at five years of patients with HBV, HCV and NAFLD were 72.5%, 69.3%, and 77.9%, respectively (P=0.370). In multivariate analysis, age and baseline AFP were the significant prognostic factors of OS (hazard ratio [HR] for age; 0.938, confidential interval; 0.886-0.994, P=0.03, HR for AFP; 1.000; 1.000-1.000, P=0.001). Conclusions: Baseline age and AFP levels showed significant prognostic differences among the groups of HCC patients of the various etiologies. NAFLD induced HCC had shown slightly lower OS at five years than viral induced HCC.