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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  
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