CN105809175A - 一种基于支持向量机算法的脑水肿分割方法及系统 - Google Patents
一种基于支持向量机算法的脑水肿分割方法及系统 Download PDFInfo
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Cited By (12)
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CN106485707A (zh) * | 2016-10-11 | 2017-03-08 | 中国科学院苏州生物医学工程技术研究所 | 基于脑核磁共振图像的多维特征分类算法 |
CN106934228A (zh) * | 2017-03-06 | 2017-07-07 | 杭州健培科技有限公司 | 基于机器学习的肺部气胸ct影像分类诊断方法 |
CN107248162A (zh) * | 2017-05-18 | 2017-10-13 | 杭州全景医学影像诊断有限公司 | 急性脑缺血图像分割模型的获得方法及急性脑缺血图像分割的方法 |
CN107292884A (zh) * | 2017-08-07 | 2017-10-24 | 北京深睿博联科技有限责任公司 | 一种识别mri图像中水肿和血肿的方法及装置 |
CN107424145A (zh) * | 2017-06-08 | 2017-12-01 | 广州中国科学院软件应用技术研究所 | 基于三维全卷积神经网络的核磁共振图像的分割方法 |
CN107705315A (zh) * | 2017-08-18 | 2018-02-16 | 中国科学院深圳先进技术研究院 | 脑组织结构提取方法、装置、设备及存储介质 |
CN108765399A (zh) * | 2018-05-23 | 2018-11-06 | 平安科技(深圳)有限公司 | 病变部位识别方法及装置、计算机装置及可读存储介质 |
WO2019109410A1 (zh) * | 2017-12-06 | 2019-06-13 | 深圳博脑医疗科技有限公司 | 用于分割 mri 图像中异常信号区的全卷积网络模型训练方法 |
WO2019170711A1 (en) | 2018-03-07 | 2019-09-12 | Institut National De La Sante Et De La Recherche Medicale (Inserm) | Method for early prediction of neurodegenerative decline |
CN111091569A (zh) * | 2019-10-31 | 2020-05-01 | 重庆邮电大学 | 一种局部参数自适应的工业ct图像分割方法 |
CN117558443A (zh) * | 2023-11-23 | 2024-02-13 | 南通大学 | 出血性脑卒中患者病情发展与疗效评估的智能分析方法 |
CN118154589A (zh) * | 2024-05-09 | 2024-06-07 | 杭州脉流科技有限公司 | 基于颅内cta影像的大脑中动脉血管密度检测方法、计算机设备、可读存储介质和程序产品 |
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Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106485707A (zh) * | 2016-10-11 | 2017-03-08 | 中国科学院苏州生物医学工程技术研究所 | 基于脑核磁共振图像的多维特征分类算法 |
CN106485707B (zh) * | 2016-10-11 | 2019-05-28 | 中国科学院苏州生物医学工程技术研究所 | 基于脑核磁共振图像的多维特征分类方法 |
CN106934228A (zh) * | 2017-03-06 | 2017-07-07 | 杭州健培科技有限公司 | 基于机器学习的肺部气胸ct影像分类诊断方法 |
CN107248162A (zh) * | 2017-05-18 | 2017-10-13 | 杭州全景医学影像诊断有限公司 | 急性脑缺血图像分割模型的获得方法及急性脑缺血图像分割的方法 |
CN107424145A (zh) * | 2017-06-08 | 2017-12-01 | 广州中国科学院软件应用技术研究所 | 基于三维全卷积神经网络的核磁共振图像的分割方法 |
CN107292884A (zh) * | 2017-08-07 | 2017-10-24 | 北京深睿博联科技有限责任公司 | 一种识别mri图像中水肿和血肿的方法及装置 |
CN107705315A (zh) * | 2017-08-18 | 2018-02-16 | 中国科学院深圳先进技术研究院 | 脑组织结构提取方法、装置、设备及存储介质 |
CN107705315B (zh) * | 2017-08-18 | 2020-03-17 | 中国科学院深圳先进技术研究院 | 脑组织结构提取方法、装置、设备及存储介质 |
WO2019109410A1 (zh) * | 2017-12-06 | 2019-06-13 | 深圳博脑医疗科技有限公司 | 用于分割 mri 图像中异常信号区的全卷积网络模型训练方法 |
WO2019170711A1 (en) | 2018-03-07 | 2019-09-12 | Institut National De La Sante Et De La Recherche Medicale (Inserm) | Method for early prediction of neurodegenerative decline |
CN108765399A (zh) * | 2018-05-23 | 2018-11-06 | 平安科技(深圳)有限公司 | 病变部位识别方法及装置、计算机装置及可读存储介质 |
CN111091569A (zh) * | 2019-10-31 | 2020-05-01 | 重庆邮电大学 | 一种局部参数自适应的工业ct图像分割方法 |
CN111091569B (zh) * | 2019-10-31 | 2024-02-13 | 重庆邮电大学 | 一种局部参数自适应的工业ct图像分割方法 |
CN117558443A (zh) * | 2023-11-23 | 2024-02-13 | 南通大学 | 出血性脑卒中患者病情发展与疗效评估的智能分析方法 |
CN118154589A (zh) * | 2024-05-09 | 2024-06-07 | 杭州脉流科技有限公司 | 基于颅内cta影像的大脑中动脉血管密度检测方法、计算机设备、可读存储介质和程序产品 |
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