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| 1 | Study of Texture Segmentation and Classification for Grading Small Hepatocellular Carcinoma Based on CT Images显示文摘To grade Small Hepatocellular Car Cinoma(SHCC)using texture analysis of CT images,we retrospectively analysed 68 cases of Grade II(medium-differentiation)and 37 cases of Grades III and IV(high-differentiation).The grading scheme follows 4 stages:(1)training a Super Resolution Generative Adversarial Network(SRGAN)migration learning model on the Lung Nodule Analysis 2016 Dataset,and employing this model to reconstruct Super Resolution Images of the SHCC Dataset(SR-SHCC)images;(2)designing a texture clustering method based on Gray-Level Co-occurrence Matrix(GLCM)to segment tumour regions,which are Regions Of Interest(ROIs),from the original and SR-SHCC images,respectively;(3)extracting texture features on the ROIs;(4)performing statistical analysis and classifications.The segmentation achieved accuracies of 0.9049 and 0.8590 in the original SHCC images and the SR-SHCC images,respectively.The classification achived an accuracy of 0.838 and an Area Under the ROC Curve(AUC)of 0.84.The grading scheme can effectively reduce poor impacts on the texture analysis of SHCC ROIs.It may play a guiding role for physicians in early diagnoses of medium-differentiation and high-differentiation in SHCC. | Bei Hui Yanbo Liu Jiajun Qiu Likun Cao Lin Ji Zhiqiang He | 2021 | Tsinghua Science and Technology2021，26，2： | 3 |
| 2 | 靶向肾癌中的E3连接酶接头蛋白SPOP的小分子抑制剂显示文摘近年来肾癌发病率上升幅度在恶性肿瘤中排名第一。临床治疗表明,肾癌对放疗和化疗均不敏感,以索拉非尼和舒尼替尼为代表的靶向抗肿瘤药物是晚期肾癌的一线治疗药物,但对转移性肾癌的疗效十分有限,并且容易产生耐药。因此,发现并确证治疗肾癌特异性药物作用新靶标是一项十分紧迫并意义重大的任务。 | Zhong-Qiang Guo Tong Zheng Baoen Chen Cheng Luo Sisheng Ouyang Shouzhe Gong Jiafei Li Liu-Liang Mao Fulin Lian Yong Yang Yue Huang Li Li Jing Lu Bidong Zhang Luming Zhou Hong Ding Zhiwei Gao Liqun Zhou Guoqiang Li Ran Zhou Ke Chen Jingqiu Liu Yi Wen Likun Gong Yuwen Ke Shang-Dong Yang Xiao-Bo Qiu Naixia Zhang Jin Ren Dafang Zhong 杨财广 刘江 蒋华良 | 2017 | 科学新闻2017，19，4： | 1 |
| 3 | Qualia Relations in Chinese Nominal Compounds Containing Verbal Elements显示文摘 | Song Zuoyan Likun Qiu | 2013 | International Journal of Knowledge and Language Processing2013，4，1： | 1 |
| 4 | A Multiple Feature Approach for Disorder Normalization in Clinical Notes显示文摘In this paper we propose a multiple feature approach for the normalization task which can map each disorder mention in the text to a unique unified medical language system(UMLS)concept unique identifier(CUI). We develop a two-step method to acquire a list of candidate CUIs and their associated preferred names using UMLS API and to choose the closest CUI by calculating the similarity between the input disorder mention and each candidate. The similarity calculation step is formulated as a classification problem and multiple features(string features,ranking features,similarity features,and contextual features) are used to normalize the disorder mentions. The results show that the multiple feature approach improves the accuracy of the normalization task from 32.99% to 67.08% compared with the Meta Map baseline. | Lü Chen CHEN Bo Lü Chaozhen QIU Likun JI Donghong | 2016 | Wuhan University Journal of Natural Sciences2016，21，6： | 0 |
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