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您的检索式：作者名="Yangchun GU"
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| 1 | Classification of weed seeds based on visual images and deep learning显示文摘Weeds are mainly spread by weed seeds being mixed with agricultural and forestry crop seeds,grain,animal hair,and other plant products,and disturb the growing environment of target plants such as crops and wild native plants.The accurate and efficient classification of weed seeds is important for the effective management and control of weeds.However,classification remains mainly dependent on destructive sampling-based manual inspection,which has a high cost and rather low flux.We considered that this problem could be solved using a nondestructive intelligent image recognition method.First,on the basis of the establishment of the image acquisition system for weed seeds,images of single weed seeds were rapidly and completely segmented,and a total of 47696 samples of 140 species of weed seeds and foreign materials remained.Then,six popular and novel deep Convolutional Neural Network(CNN)models are compared to identify the best method for intelligently identifying 140 species of weed seeds.Of these samples,33600 samples are randomly selected as the training dataset for model training,and the remaining 14096 samples are used as the testing dataset for model testing.AlexNet and GoogLeNet emerged from the quantitative evaluation as the best methods.AlexNet has strong classification accuracy and efficiency(low time consumption),and GoogLeNet has the best classification accuracy.A suitable CNN model for weed seed classification could be selected according to specific identification accuracy requirements and time costs of applications.This research is beneficial for developing a detection system for weed seeds in various applications.The resolution of taxonomic issues and problems associated with the identi-fication of these weed seeds may allow for more effective management and control. | Tongyun Luo Jianye Zhao Yujuan Gu Shuo Zhang Xi Qiao Wen Tian Yangchun Han | 2023 | Information Processing in Agriculture2023，10，1： | 1 |
| 2 | Characteristics and Clinical Implication of UGT1A1 Heterozygous Mutation in Tumor显示文摘Background:The literature recommends that reduced dosage of CPT-11 should be applied in patients with UGT1 A1 homozygous mutations,but the impact of UGT1 A1 heterozygous mutations on the adverse reactions of CPT-11 is still not fully clear.Methods:A total of 107 patients with UGT1 A1 heterozygous mutation or wild-type,who were treated with CPT-11 from January 2018 to September 2021 in Peking University Third Hospital,were retrospectively enrolled.The adverse reaction spectra of patients with UGT1 A1*6 and UGT1 A1*28 mutations were analyzed.Adverse reactions were evaluated according to National Cancer Institute Common Terminology Criteria for Adverse Events(NCI-CTCAE) 5.0.The efficacy was evaluated according to Response Evaluation Criteria in Solid Tumors(RECIST) 1.1.The genotypes of UGT1 A1*6 and UGT1 A1*28 were detected by digital fluorescence molecular hybridization.Results:There were 43 patients with UGT1 A1*6 heterozygous mutation,26 patients with UGT1 A1*28 heterozygous mutation,8 patients with UGT1 A1*6 and UGT1 A1*28 double heterozygous mutations,61 patients with heterozygous mutation at any gene locus of UGT1 A1*6 and UGT1 A1*28.Logistic regression analysis showed that the presence or absence of vomiting(P=0.013) and mucositis(P=0.005) was significantly correlated with heterozygous mutation of UGT1 A1*28,and the severity of vomiting(P<0.001) and neutropenia(P=0.021) were significantly correlated with heterozygous mutation of UGT1 A1*6.In colorectal cancer,UGT1 A1*6 was significantly correlated to diarrhea(P=0.005),and the other adverse reactions spectrum was similar to that of the whole patient cohort,and efficacy and prognosis were similar between patients with different genotypes and patients treated with reduced CPT-11 dosage or not.Conclusion:In clinical use,heterozygous mutations of UGT1 A1*6 and UGT1 A1*28 are related to the risk and severity of vomiting,diarrhea,neutropenia and mucositis in patients with Pan-tumor and colorectal cancer post CPT-11 therpy.In colorectal cancer,UGT1 A1*6 is significantly related to diarrhea post CPT-11 use,efficacy and prognosis is not affected by various genotypes or CPT-11 dosage reduction. | Qian LI Tao SUN Hua ZHANG Wei LIU Yu XIAO Hongqi SUN Wencheng YIN Yanhong YAO Yangchun GU Yan'e LIU Fumei YI Qiqi WANG Jinyu YU Baoshan CAO Li LIANG | 2022 | 中国肺癌杂志2022，25，3： | 0 |
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