CN107492097B - 一种识别mri图像感兴趣区域的方法及装置 - Google Patents
一种识别mri图像感兴趣区域的方法及装置 Download PDFInfo
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Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
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CN108537773B (zh) * | 2018-02-11 | 2022-06-17 | 中国科学院苏州生物医学工程技术研究所 | 针对胰腺癌与胰腺炎性疾病进行智能辅助鉴别的方法 |
CN108846829B (zh) * | 2018-05-23 | 2021-03-23 | 平安科技(深圳)有限公司 | 病变部位识别装置、计算机装置及可读存储介质 |
CN108765399B (zh) * | 2018-05-23 | 2022-01-28 | 平安科技(深圳)有限公司 | 病变部位识别装置、计算机装置及可读存储介质 |
CN109035255B (zh) * | 2018-06-27 | 2021-07-02 | 东南大学 | 一种基于卷积神经网络的ct图像中带夹层主动脉分割方法 |
CN109658377B (zh) * | 2018-10-31 | 2023-10-10 | 泰格麦迪(北京)医疗科技有限公司 | 一种基于多维度信息融合的乳腺mri病变区域检测方法 |
CN109840592B (zh) * | 2018-12-24 | 2019-10-18 | 梦多科技有限公司 | 一种机器学习中快速标记训练数据的方法 |
CN109685796B (zh) * | 2018-12-26 | 2021-05-18 | 上海联影智能医疗科技有限公司 | 医学图像处理方法、装置、设备和存储介质 |
CN109932699A (zh) * | 2019-03-15 | 2019-06-25 | 西安电子科技大学 | 一种雷达辐射源识别方法、装置、计算机设备和存储介质 |
CN110070527A (zh) * | 2019-04-18 | 2019-07-30 | 成都雷熵科技有限公司 | 一种基于区域全连接神经网络病灶检测方法 |
CN110400316A (zh) * | 2019-04-19 | 2019-11-01 | 杭州健培科技有限公司 | 一种基于深度学习的骨科影像测量方法及装置 |
CN110827242B (zh) * | 2019-10-23 | 2022-06-14 | 华中科技大学 | 一种基于卷积神经网络的颅内动脉瘤检测方法及系统 |
CN111568195A (zh) * | 2020-02-29 | 2020-08-25 | 佛山市云米电器科技有限公司 | 冲泡饮物识别方法、设备及计算机可读存储介质 |
CN111047591A (zh) * | 2020-03-13 | 2020-04-21 | 北京深睿博联科技有限责任公司 | 基于深度学习的病灶体积测量方法、系统、终端及存储介质 |
CN111260648B (zh) * | 2020-05-06 | 2020-08-21 | 杭州迪英加科技有限公司 | 胃粘膜esd切除标本图像的病变区域测量方法、装置 |
CN112053342A (zh) * | 2020-09-02 | 2020-12-08 | 陈燕铭 | 基于人工智能的脑垂体磁共振图像的提取识别方法和装置 |
CN113506294B (zh) * | 2021-09-08 | 2022-02-08 | 远云(深圳)互联网科技有限公司 | 一种医疗图像评估方法、系统、计算机设备及存储介质 |
CN114332547B (zh) * | 2022-03-17 | 2022-07-08 | 浙江太美医疗科技股份有限公司 | 医学目标分类方法和装置、电子设备和存储介质 |
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106097355A (zh) * | 2016-06-14 | 2016-11-09 | 山东大学 | 基于卷积神经网络的胃肠道肿瘤显微高光谱图像处理方法 |
CN106408576A (zh) * | 2016-09-08 | 2017-02-15 | 飞依诺科技(苏州)有限公司 | 基于三维超声图像的感兴趣区域的自动分割方法及系统 |
CN106780460A (zh) * | 2016-12-13 | 2017-05-31 | 杭州健培科技有限公司 | 一种用于胸部ct影像的肺结节自动检测系统 |
CN106940816A (zh) * | 2017-03-22 | 2017-07-11 | 杭州健培科技有限公司 | 基于3d全连接卷积神经网络的ct图像肺结节检测系统 |
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US9965719B2 (en) * | 2015-11-04 | 2018-05-08 | Nec Corporation | Subcategory-aware convolutional neural networks for object detection |
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CN106097355A (zh) * | 2016-06-14 | 2016-11-09 | 山东大学 | 基于卷积神经网络的胃肠道肿瘤显微高光谱图像处理方法 |
CN106408576A (zh) * | 2016-09-08 | 2017-02-15 | 飞依诺科技(苏州)有限公司 | 基于三维超声图像的感兴趣区域的自动分割方法及系统 |
CN106780460A (zh) * | 2016-12-13 | 2017-05-31 | 杭州健培科技有限公司 | 一种用于胸部ct影像的肺结节自动检测系统 |
CN106940816A (zh) * | 2017-03-22 | 2017-07-11 | 杭州健培科技有限公司 | 基于3d全连接卷积神经网络的ct图像肺结节检测系统 |
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