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Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors Journal article
Ya-Ting Jan, Pei-Shan Tsai, Wen-Hui Huang, Ling-Ying Chou, Shih-Chieh Huang, Jing-Zhe Wang, Pei-Hsuan Lu, Dao-Chen Lin, Chun-Sheng Yen, Ju-Ping Teng, Greta S. P. Mok, Cheng-Ting Shih, Tung-Hsin Wu. Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors[J]. Insights into Imaging, 2023, 14(1).
Authors:  Ya-Ting Jan;  Pei-Shan Tsai;  Wen-Hui Huang;  Ling-Ying Chou;  Shih-Chieh Huang; et al.
Favorite | TC[WOS]:19 TC[Scopus]:21  IF:4.1/5.9 | Submit date：2023/08/03
Computed Tomography  Deep Learning  Machine Learning  Ovarian Tumor  Radiomics  
AZ32 Reverses ABCG2-Mediated Multidrug Resistance in Colorectal Cancer Journal article
Liu, Kun, Li, Yan Chi, Chen, Yu, Shi, Xiao Bao, Xing, Zi Hao, He, Zheng Jie, Wang, Sheng Te, Liu, Wei Jing, Zhang, Peng Wei, Yu, Ze Zhong, Mo, Xue Mei, Chen, Mei Wan, Chen, Zhe Sheng, Shi, Zhi. AZ32 Reverses ABCG2-Mediated Multidrug Resistance in Colorectal Cancer[J]. Frontiers in Oncology, 2021, 11, 680663.
Authors:  Liu, Kun;  Li, Yan Chi;  Chen, Yu;  Shi, Xiao Bao;  Xing, Zi Hao; et al.
Favorite | TC[WOS]:8 TC[Scopus]:7  IF:3.5/4.0 | Submit date：2021/12/07
Abcg2  Az32  Colorectal Cancer  Crispr  Multidrug Resistance  
Corni Fructus: a review of chemical constituents and pharmacological activities Journal article
Dong, Yu, Feng, Zhe-Ling, Chen, Hu-Biao, Wang, Fu-Sheng, Jia-Hong Lu. Corni Fructus: a review of chemical constituents and pharmacological activities[J]. CHINESE MEDICINE, 2018, 13.
Authors:  Dong, Yu;  Feng, Zhe-Ling;  Chen, Hu-Biao;  Wang, Fu-Sheng;  Jia-Hong Lu
Favorite | TC[WOS]:89 TC[Scopus]:99  IF:5.3/5.5 | Submit date：2018/10/30
Cornus Officinalis Sieb. Et Zucc.  Corni Fructus  Shan Zhu Yu  Phytochemistry  Pharmacological Activity  
Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356 Other
2016-01-01
Authors:  Klionsky, Daniel J.;  Abdelmohsen, Kotb;  Abe, Akihisa;  Abedin, Md Joynal;  Abeliovich, Hagai; et al.
Favorite | TC[WOS]:407 TC[Scopus]:24 | Submit date：2022/07/20