| 深度学习在脑肿瘤医学图像研究进展 |
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| 引用本文： | 薛彩强,刘显旺,邓娟,李昇霖,周俊林.深度学习在脑肿瘤医学图像研究进展[J].中国医学影像技术,2019,35(12):1813-1816. |
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| 作者姓名： | 薛彩强 刘显旺 邓娟 李昇霖 周俊林 |
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| 作者单位： | 兰州大学第二医院放射科 兰州大学第二临床医学院 甘肃省医学影像重点实验室, 甘肃 兰州 730030,兰州大学第二医院放射科 兰州大学第二临床医学院 甘肃省医学影像重点实验室, 甘肃 兰州 730030,兰州大学第二医院放射科 兰州大学第二临床医学院 甘肃省医学影像重点实验室, 甘肃 兰州 730030,兰州大学第二医院放射科 兰州大学第二临床医学院 甘肃省医学影像重点实验室, 甘肃 兰州 730030,兰州大学第二医院放射科 兰州大学第二临床医学院 甘肃省医学影像重点实验室, 甘肃 兰州 730030 |
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| 摘 要： | 近年来，随着人工智能相关技术不断发展，深度学习（DL）技术日益提高，已成为医学领域的研究热点。DL在医学图像中的深入研究，为精确诊断脑肿瘤、个体化治疗和预后评估带来全新发展方向。本文就DL在脑肿瘤医学图像中的应用现状及未来发展进行综述。
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| 关 键 词： | 深度学习 脑肿瘤 医学图像 |
| 收稿时间： | 2019/4/9 0:00:00 |
| 修稿时间： | 2019/11/7 0:00:00 |
Research progresses of deep learning in brain neoplasms imaging |
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| XUE Caiqiang,LIU Xianwang,DENG Juan,LI Shenglin and ZHOU Junlin.Research progresses of deep learning in brain neoplasms imaging[J].Chinese Journal of Medical Imaging Technology,2019,35(12):1813-1816. |
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| Authors: | XUE Caiqiang LIU Xianwang DENG Juan LI Shenglin and ZHOU Junlin |
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| Institution: | Department of Radiology, Lanzhou University Second Hospital, Second Clinical Medical College of Lanzhou University, Gansu Key Laboratory of Medical Imaging, Lanzhou 730030, China,Department of Radiology, Lanzhou University Second Hospital, Second Clinical Medical College of Lanzhou University, Gansu Key Laboratory of Medical Imaging, Lanzhou 730030, China,Department of Radiology, Lanzhou University Second Hospital, Second Clinical Medical College of Lanzhou University, Gansu Key Laboratory of Medical Imaging, Lanzhou 730030, China,Department of Radiology, Lanzhou University Second Hospital, Second Clinical Medical College of Lanzhou University, Gansu Key Laboratory of Medical Imaging, Lanzhou 730030, China and Department of Radiology, Lanzhou University Second Hospital, Second Clinical Medical College of Lanzhou University, Gansu Key Laboratory of Medical Imaging, Lanzhou 730030, China |
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| Abstract: | In recent years, with the continuous development of artificial intelligence related technologies, deep learning (DL) technology kept improving and had become a research hotspot in medical field. Research of DL in medical imaging has brought a new development direction for precise diagnosis, individualized treatment and prognosis evaluation of brain neoplasms. The current status and future development of DL in brain neoplasms medical images were reviewed in this paper. |
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| Keywords: | deep learning brain neoplasms medical image |
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