搜索结果: 1-7 共查到“医学影像学 medical imaging”相关记录7条 . 查询时间(0.062 秒)
《IEEE Transactions on Medical Imaging》报道应用基于神经网络架构搜索和多模态成像的术中胶质瘤分级技术（图）
神经网络架构 胶质瘤 多模态成像 医学图像
2022/4/11
术中胶质瘤分级有助于制定临床治疗计划并改善预后，但术中冰冻切片病理检查因处理时间长、程序复杂而受到限制。近红外荧光成像为快速准确的实时诊断提供了机会，与神经网络/深度学习技术的融合被认为是最有前景的研究方向。然而，近红外荧光图像的小尺度、噪声和低分辨率等问题增加了网络的训练难度。多模态成像可以提供更多的信息以提高模型性能，但设计合适网络的同时利用多模态信息数据具有挑战性。
2018年SPIE医学影像物理学会议（SPIE Physics of Medical Imaging）。
2018年SPIE医学影像会议（SPIE Medical Imaging 2018）
2018年 SPIE 医学影像 会议
2017/10/27
The SPIE Medical Imaging meeting is the internationally recognized premier forum for reporting state-of-the-art research and development in medical imaging. The event focuses on the latest innovations...
New Material Could Save Time and Money in Medical Imaging and Environmental Remediation
New Material Save Time Money Medical Imaging Environmental Remediation
2017/4/13
Chemists at The University of Texas at Austin have developed a material that holds the key to cheap, fast and portable new sensors for a wide range of chemicals that right now cost government and indu...
One nanoparticle, six types of medical imaging
One nanoparticle six types of medical imaging
2015/1/20
It’s technology so advanced that the machine capable of using it doesn’t yet exist.Using two biocompatible parts, University at Buffalo researchers and their colleagues have designed a nanoparticle th...
New 'T-ray' tech converts light to sound for weapons detection, medical imaging
New 'T-ray' tech light to sound weapons detection medical imaging
2014/5/19
A device that essentially listens for light waves could help open up the last frontier of the electromagnetic spectrum—the terahertz range.
Recent advances of variational model in medical imaging and applications to computer aided surgery
Recent advances variational model medical imaging applications computer aided surgery
2012/12/12
In this paper, we review some mathematical models in medical image processing. Due to the superiority in modeling and computation, variational methods have been proven to be powerful techniques, which...