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A comparative study on machine learning-based classification to find photothrombotic lesion in histological rabbit brain images

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Journal of Innovative Optical Health Sciences 2021年第6期4卷 81-89页

作者： Sang Hee Jo yoonhee kim Yoon Bum Lee Sung Suk Oh Jong-ryul Choi School of Biomedical Engineering Daegu Catholic University(DCU)Gyeongsan 38430Republic of Korea Medical Device Development Center Daegu-Gyeongbuk Medical Innovation Foundation(DGMIF) Daegu 41061Republic of Korea Laboratory Animal Center Daegu-Gyeongbuk Medical Innovation Foundation(DGMIF) Daegu 41061Republic of Korea

Recently,research has been conducted to assist in the processing and analysis of histopathological images using machine learning *** this study,we established machine learning-based algorithms to detect photothrombotic lesions in histological images of photothrombosis-induced rabbit *** machine learning-based algorithms for binary classification were applied,and the accu-racies were compared to classify normal tissues and photothrombotic *** lesion classification model consisting of a 3-layered neural network with a rectified linear unit(ReLU)activation function,Xavier initialization,and Adam optimization using datasets with a unit size of 128×128 pixels yielded the highest accuracy(0.975).In the validation using the tested histological images,it was confirmed that the model could identify regions where brain damage occurred due to photochemical ischemic *** the development of machine learning-based photothrombotic lesion classi-fication models and performance comparisons,we confirmed that machine learning algorithms have the potential to be utilized in histopathology and various medical diagnostic techniques.

关键词： Machine learning histopathological images photothrombotic lesion rabbit brain binary classification logistic regression multi-layer neural networks

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Economic Value of Water Quality Improvement by One Grade Level in Erhai Lake： A Willingness-to-Pay Survey and a Benefit-Transfer Study

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Frontiers of Economics in China-Selected Publications from Chinese Universities 2015年第1期10卷 168-199页

作者： Hua Wang Yuyan Shi yoonhee kim Takuya Kamata Policy Research Center for Environment and Economy Ministry of Environmental ProtectionBeijing 100029 China Department of Family Medicine and Public Health University of California San DiegoCA92093 USA Development Research Group The World Bank Washington DC 20433 USA

Water quality in China has seriously deteriorated in recent years. However, very few valuation studies have been conducted to estimate the monetary values associated with water quality changes. As a result, the decision makers can hardly make rational choices with regard to investments in water quality improvement. This paper presents a valuation study conducted in Dali, Yunnan Province, which aims to estimate the total economic value of improving the water quality of Erhai Lake by one grade level. Both the contingent valuation method and the benefit transfer approach are employed in this study. The contingent valuation estimation strategy reveals that, on average, a household located in Dali is willing to pay about 27 yuan per month continuously for 5 years for the water quality improvement, equivalent to 1.7% of the household monthly income. The elasticity of willingness-to-pay with respect to income is estimated to be 0.28. The internal rate of economic return of the proposed pollution control project is estimated to be 13%. The benefit transfer exercise produces a similar estimation on willingness to pay （WTP） values, with a difference of less than 2% compared with the contingent valuation approach. The results indicate the potential reliability of using the benefit transfer approach for valuation estimations in Chinese provinces.

关键词： contingent valuation benefit transfer water quality

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Single Molecule Bio-spectroscopy:Real-time Observation of an Enzymatic Reaction

Single Molecule Bio-spectroscopy:Real-time Observation of an...

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第三届亚洲光谱会议

作者： Hye Ran Koh Jiwon Jung Jiwoong Kwon Young Bin Lim yoonhee Park Seong Keun kim Department of Chemistry and WCU Department of Biophysics and Chemical Biology Seoul National University

＜正＞The reductionist approach so often embraced when addressing the complexity of a biological system from fundamental molecular perspectives has yielded information that has been otherwise unavailable by conventional techniques.1 It is imperative,however,that the degree of such reductionism needs to be aptly tuned to reflect the effect of

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