https://scholars.lib.ntu.edu.tw/handle/123456789/590068
標題: | Randomized multi-reader evaluation of automated detection and segmentation of brain tumors in stereotactic radiosurgery with deep neural networks | 作者: | SHAO-LUN LU FU-REN XIAO CHIA-HSIEN CHENG WEN-CHI YANG Cheng, Yueh-Hung Chang, Yu-Cheng Lin, Jhih-Yuan Liang, Chih-Hung Lu, Jen-Tang YA-FANG CHEN FENG-MING HSU |
關鍵字: | artificial intelligence; brain tumor; deep learning; randomization; stereotactic radiosurgery | 公開日期: | 2021 | 卷: | 23 | 期: | 9 | 來源出版物: | Neuro-oncology | 摘要: | Stereotactic radiosurgery (SRS), a validated treatment for brain tumors, requires accurate tumor contouring. This manual segmentation process is time-consuming and prone to substantial inter-practitioner variability. Artificial intelligence (AI) with deep neural networks have increasingly been proposed for use in lesion detection and segmentation but have seldom been validated in a clinical setting. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/590068 | ISSN: | 15228517 | DOI: | 10.1093/neuonc/noab071 |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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