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17 results on '"Hou, Weilong"'

4. Abstract A013: Induced pluripotent stem cells derived from normal human esophageal epithelial cells identify transcription factor networks contributing to esophageal carcinogenesis

Author

Wang, Haitao, primary, Wang, Ruihong, additional, Prothro, Katherine P., additional, Xi, Sichuan, additional, Hou, Weilong, additional, Wu, Xinwei, additional, Tolunay, Tuana, additional, Shukla, Vivek, additional, Zhang, Mary R., additional, Shiffka, Stephanie J., additional, Gara, Sudheer, additional, and Schrump, David S., additional

Published
2022
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10. The Mealiness and Quality of Herbal Medicine: Licorice for Example

Author

Liu, Xueying, Hou, Weilong, and Dou, Deqiang

Subjects
mealiness, quality, Liquorice, food and beverages, Original Article
Abstract

Background: The morphological identification is an effective and simple quality evaluation method in Chinese drugs, and the traits of mealiness and color were widely used in the commercial market of Chinese drugs. Objective: The objective of this study was to explore the correlation between mealiness of herbal drugs and its quality; licorice was selected as an example. Materials and Methods: The mealiness of licorice was graded by its weight; meanwhile, the content of glycyrrhizic acid and liquiritin was determined by high-performance liquid chromatography-diode-array detection method; the content of polysaccharides, soluble sugars, pectin, total starch, amylose, and amylopectin was measured by colorimetric method; and the number and diameter of starch granule were observed by microscope. Results: The results showed that the mealiness of licorice which collected from wild and cultivated plants is positively correlated with the content of glycyrrhizic acid, liquiritin, the ratio of amylose to total starch, and the number of starch granules whose diameter was over 5 μm. However, the mealiness is negatively correlated with the total starch. Further, the formation mechanism of starch granule was discussed. Conclusion: It is for the first time to report the positive correlation between the mealiness and the starch granule size, the ratio of amylose to total starch, which can provide rationality for the quality evaluation using the character of mealiness in herbal medicine. SUMMARY It is a convenient method to justify the quality of herbal medicine. To explore the correlation between mealiness of herbal drugs and its quality, licorice was selected as an example. The result indicated that the effective constituent is correlated with mealiness of licorice. Abbreviations Used: TCM: Traditional Chinese Medicine.

Published
2017

11. Studies on the Effective Materials of Baizhu for Immuno-Enhancing Action

Author

Hou WeiLong, Kuang HaiXue, Dou De-qiang, Cai RunCe, Wang Xiaofei, and Li Ling-Hui

Subjects
Pharmacology, 03 medical and health sciences, 0302 clinical medicine, Biochemistry, Action (philosophy), Chemistry, 030220 oncology & carcinogenesis, Plant composition, 030205 complementary & alternative medicine
Published
2016

16. Objective image quality assessment: a survey.

Author

He, Lihuo, Gao, Fei, Hou, Weilong, and Hao, Lei

Subjects
IMAGE quality analysis, IMAGE processing, PHILOSOPHY, MACHINE learning, ARTIFICIAL intelligence, COMPUTATIONAL mathematics
Abstract

Image quality assessment (IQA) is critically important for the image-processing field. IQA aims to build a computational model to predict human perceived image quality, accurately and automatically. Until now, great efforts have been employed to design IQA metrics. In this paper, we systematically and comprehensively review the fundamental, brief history, and state-of-the-art developments of IQA, with emphasis on natural image quality assessment (NIQA). First, the definition of image quality is discussed, which contains three aspects and lead to different philosophies of designing IQA metrics. Afterwards, classic NIQA metrics are presented with some further discussions. Widely used databases and the performances of classic NIQA metrics on them are also listed. We highlight the most significant works and some open issues about the developments of IQA, and provide the benchmarks for the researchers and scholars who work on IQA. [ABSTRACT FROM PUBLISHER]

Published
2014
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17. Blind Image Quality Assessment via Deep Learning.

Author

Hou, Weilong, Gao, Xinbo, Tao, Dacheng, and Li, Xuelong

Subjects
*IMAGE processing, *MATHEMATICAL models, *FLORISTIC quality assessment, *COGNITIVE structures, *PSYCHOLOGY of learning, *TIME perception
Abstract

This paper investigates how to blindly evaluate the visual quality of an image by learning rules from linguistic descriptions. Extensive psychological evidence shows that humans prefer to conduct evaluations qualitatively rather than numerically. The qualitative evaluations are then converted into the numerical scores to fairly benchmark objective image quality assessment (IQA) metrics. Recently, lots of learning-based IQA models are proposed by analyzing the mapping from the images to numerical ratings. However, the learnt mapping can hardly be accurate enough because some information has been lost in such an irreversible conversion from the linguistic descriptions to numerical scores. In this paper, we propose a blind IQA model, which learns qualitative evaluations directly and outputs numerical scores for general utilization and fair comparison. Images are represented by natural scene statistics features. A discriminative deep model is trained to classify the features into five grades, corresponding to five explicit mental concepts, i.e., excellent, good, fair, poor, and bad. A newly designed quality pooling is then applied to convert the qualitative labels into scores. The classification framework is not only much more natural than the regression-based models, but also robust to the small sample size problem. Thorough experiments are conducted on popular databases to verify the model’s effectiveness, efficiency, and robustness. [ABSTRACT FROM AUTHOR]

Published
2015
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