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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  
Biofunctional Activities of Equisetum ramosissimum Extract: Protective Effects against Oxidation, Melanoma, and Melanogenesis Journal article
Pin-Hui Li, Yu-Pin Chiu, Chieh-Chih Shih, Zhi-Hong Wen, Laura Kaodichi Ibeto, Shu-Hung Huang, Chien Chih Chiu, Dik-Lung Ma, Chung-Hang Leung, Yaw-Nan Chang, Hui-Min David Wang. Biofunctional Activities of Equisetum ramosissimum Extract: Protective Effects against Oxidation, Melanoma, and Melanogenesis[J]. Oxidative Medicine and Cellular Longevity, 2016, 2016.
Authors:  Pin-Hui Li;  Yu-Pin Chiu;  Chieh-Chih Shih;  Zhi-Hong Wen;  Laura Kaodichi Ibeto; et al.
Favorite | TC[WOS]:33 TC[Scopus]:43 | Submit date：2018/11/06