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近日,医学部生物医学工程学院倪东教授团队在国际医学图像分析领域的顶级期刊《IEEE Transaction on Medical Imaging》(影响因子IF=10.6)上,发表了一篇题为“Semi-Supervised Representation Learning for Segmentation on Medical Volumes and Sequences”的高质量论文。深圳大学医学部...
近日,医学部生物医学工程学院汪天富、雷柏英教授团队在医学图像处理领域顶级期刊《IEEE Transactions on Medical Imaging》(中科院大类一区TOP期刊,IF:11.037)上发表了系列研究成果。
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。
近期,深圳大学医学部生物医学工程学院黄炳升副教授团队的研究成果《3D Lightweight Network for Simultaneous Registration and Segmentation of Organs-at-Risk in CT Images of Head and Neck Cancer》在医学图像分析领域的顶级期刊IEEE Transactions on Medical ...
2018年SPIE医学影像物理学会议(SPIE Physics of Medical Imaging)。
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...
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...
An emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person will be highlighted in this year's program...
The Medical Imaging Conference (MIC) is a unique international scientific meeting on the physics, engineering and mathematical aspects of nuclear medical imaging. The meeting will take place within th...
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...
A device that essentially listens for light waves could help open up the last frontier of the electromagnetic spectrum—the terahertz range.
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...
A method and algorithm of flattening folded surfaces, for two-dimensional representation and analysis of medical images, are presented. The method is based on an application to triangular meshes of cl...
We recently developed a multiresolution PDE-based deformable surface whose deformation behavior is governed by partial differential equations (PDEs) such as the weighted minimal surface flow. Comparin...
Medical image analysis is increasingly providing a sophisticated set of tools for processing measurement inputs into clinically relevant outputs, although this is, on the whole, completed without cons...

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