1. Tsinghua University

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    1. Mentioned In 82 Articles

    2. Classification of human stomach cancer using morphological feature analysis from optical coherence tomography images

      Classification of human stomach cancer using morphological feature analysis from optical coherence tomography images
      Optical coherence tomography is radiation-free, and it is considered a tool of optical biopsy. Classification of normal and cancerous tissues is very important for the guidance of surgeons. Here, we develop the morphological feature analysis-based classification (MFAC) method, combining it with machine learning to identify cancerous tissues. We extract five quantitative morphological features from one OCT image through the structured analysis. Five classifiers are involved to make a classification: the ...
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    3. Feature Of The Week 07/22/2019: Tsinghua University Demonstrates A “Sparse Sampled” Smart CCD Camera for Compressed Sensing Optical Coherence Tomography.

      Feature Of The Week 07/22/2019: Tsinghua University Demonstrates A “Sparse Sampled” Smart CCD Camera for Compressed Sensing Optical Coherence Tomography.
      ...ed and time-consuming to develop and fabricate.Professor Ping Xue, Dr. Wenchao Liao and their colleagues from Tsinghua University in China, have made important progress to solve the problem. They have invented a novel te...
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    4. Velocity range estimation for liquid flow based on optical micro-angiography

      Velocity range estimation for liquid flow based on optical micro-angiography
      Optical micro-angiography (OMAG) is widely used in vivo imaging due to its non-invasive and highly sensitive measurements. It can effectively distinguish flowing and stationary particles for applications such as micro-size blood vessel. However, the detectable flow velocity of OMAG is restricted by the system parameters. Their relationship is usually unknown and thus increase the difficulty of OMAG application on liquid flow measurements. This study for the first time proposes a ...
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    5. Compressed sensing spectral domain optical coherence tomography with a hardware sparse-sampled camera

      Compressed sensing spectral domain optical coherence tomography with a hardware sparse-sampled camera
      We present a sparse-sampled camera for compressed sensing spectral domain optical coherence tomography (CS SD-OCT), which is mainly composed of a novel mask with specially designed coating and a commercially available CCD camera. The sparse-sampled camera under-samples the SD-OCT spectrum in hardware, thus reduces the acquired image data and can achieve faster A-scan speed than conventional CCD camera with the same pixel number. Compared with a conventional SD-OCT system, the ...
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    6. Automatic detection of retinal regions using fully convolutional networks for diagnosis of abnormal maculae in optical coherence tomography images

      Automatic detection of retinal regions using fully convolutional networks for diagnosis of abnormal maculae in optical coherence tomography images
      In conventional retinal region detection methods for optical coherence tomography (OCT) images, many parameters need to be set manually, which is often detrimental to their generalizability. We present a scheme to detect retinal regions based on fully convolutional networks (FCN) for automatic diagnosis of abnormal maculae in OCT images. The FCN model is trained on 900 labeled age-related macular degeneration (AMD), diabetic macular edema (DME) and normal (NOR) OCT images ...
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    7. Optical computing optical coherence tomography with conjugate suppression by dispersion

      Optical computing optical coherence tomography with conjugate suppression by dispersion
      For all imaging techniques, such as optical coherence tomography (OCT), fast imaging speed is always of high demand. Optical computing OCT ( OC2T) has achieved ultrahigh speed for real time 3D imaging without post data processing, but its spatial resolution is lowered down due to an imperfect Fourier transformation in the optical computing process. In this Letter, we illustrate the theory of OC2T and prove that the dispersion imbalance between reference ...
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    8. Optimized Deep Convolutional Neural Networks for Identification of Macular Diseases from Optical Coherence Tomography Images

      Optimized Deep Convolutional Neural Networks for Identification of Macular Diseases from Optical Coherence Tomography Images
      Finetuning pre-trained deep neural networks (DNN) delicately designed for large-scale natural images may not be suitable for medical images due to the intrinsic difference between the datasets. We propose a strategy to modify DNNs, which improves their performance on retinal optical coherence tomography (OCT) images. Deep features of pre-trained DNN are high-level features of natural images. These features harm the training of transfer learning. Our strategy is to remove some ...
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    9. Image-guided vibrometry system integrated with spectral- and time-domain optical coherence tomography

      Image-guided vibrometry system integrated with spectral- and time-domain optical coherence tomography
      Vibrometry using optical coherence tomography (OCT) can provide valuable information for investigating either the mechanical properties or the physiological function of biological tissues, especially the hearing organs. Real-time imaging of the measured tissues provides structure imaging and spatial guidance for and is thus highly demanded by such vibrometry. However, the traditional time-domain OCT (TD-OCT) systems, although capable of subnanometric vibrometry at large ranges of frequencies, are unable to offer an ...
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    10. Full-depth compressive sensing spectral-domain optical coherence tomography based on a compressive dispersion encoding method

      Full-depth compressive sensing spectral-domain optical coherence tomography based on a compressive dispersion encoding method
      By combining the advantages of compressive sensing optical coherence tomography (OCT) and full-depth OCT in terms of imaging time and imaging depth, we demonstrate how compressive sampling and dispersion encoding can be simultaneously used to reconstruct a full-depth OCT image. Moreover, by considering the image processing speed, we propose a two-step compressive dispersion encoding (TCDE) method, in which a large dispersion imbalance is introduced between the reference arm and the ...
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    11. A miniature endoscopic optical coherence tomography probe based on C-lens

      A miniature endoscopic optical coherence tomography probe based on C-lens
      We present a novel miniature endoscopic OCT probe based on an electrothermal microelectromechanical (MEMS) mirror and a C-lens. The MEMS mirror has a relatively large mirror plate of 0.5 mm0.5 mm on a small chip size of 1.5 mm1.3 mm, leading to the outer diameter of the endoscopic probe down to only 2.5 mm so that the probe is capable of being inserted through the ...
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    12. Full-depth spectral domain optical coherence tomography technology insensitive to phase disturbance

      Full-depth spectral domain optical coherence tomography technology insensitive to phase disturbance
      To achieve full-depth spectral domain optical coherence tomography in the case of strong environmental disturbance, the iterative phase-shifting (IPS) method and modified dispersion-coded (MDC) method are proposed in this work. In IPS, the precise amount of phase shift is retrieved by iteration, and the direction of the phase shift is determined by dispersion compensation. Conjugate mirror items and noise can be simultaneously eliminated by two captured interferograms, whereas only one ...
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    13. Using spectral-domain optical coherence tomography to evaluate the type and thickness of interdigitation zone band in adult Chinese

      Using spectral-domain optical coherence tomography to evaluate the type and thickness of interdigitation zone band in adult Chinese
      To study types and thickness of interdigitation zone band in adult Chinese subjects, we conducted a cross-sectional study. The population-based Beijing Eye Study 2011 included 3468 individuals with a mean age of 64.6 9.8 years. 263 people (263eyes) with a mean age of 64.8 years were randomly selected cases without macular diseases included in the study. A detailed ophthalmic examination was performed including SD-OCT for measurement of ...
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    14. Optimized Optical Coherence Tomography Imaging With Hough Transform-Based Fixed-Pattern Noise Reduction

      Optimized Optical Coherence Tomography Imaging With Hough Transform-Based Fixed-Pattern Noise Reduction
      Fixed-pattern noise seriously affects the clinical application of optical coherence tomography (OCT), especially, in the imaging of tumorous tissue. We propose a Hough transform-based fixed-pattern noise reduction (HTFPNR) method to reduce the fixed-pattern noise for optimizing imaging of tumorous tissue with OCT system. Using by the HTFPNR method, we detect and map the outline of fixed-pattern noise in the OCT images, and finally efficiently reduce the fixed-pattern noise by the ...
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    15. Efficient Deep Learning-Based Automated Pathology Identification in Retinal Optical Coherence Tomography Images

      Efficient Deep Learning-Based Automated Pathology Identification in Retinal Optical Coherence Tomography Images
      We present an automatic method based on transfer learning for the identification of dry age-related macular degeneration (AMD) and diabetic macular edema (DME) from retinal optical coherence tomography (OCT) images. The algorithm aims to improve the classification performance of retinal OCT images and shorten the training time. Firstly, we remove the last several layers from the pre-trained Inception V3 model and regard the remaining part as a fixed feature extractor ...
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    16. Simulation of penetration depth of Bessel beams for multifocal optical coherence tomography

      Simulation of penetration depth of Bessel beams for multifocal optical coherence tomography
      Multifocal Bessel beam optical coherence tomography (MBOCT) combines the advantages of Bessel beam OCT and multifocal OCT to increase imaging depth. For MBOCT, the penetration depth of the Bessel beam in highly scattering biological tissue limits the final imaging depth. In this paper, we theoretically analyze the penetration depth of the Bessel beams with different parameters to explore which kind of Bessel beam is more suitable for MBOCT in a ...
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  2. About Tsinghua University

    Tsinghua University

    Tsinghua University was established in 1911, originally under the name “Tsinghua Xuetang”. The school was renamed "Tsinghua School" in 1912. The university section was founded in 1925. The name “National Tsinghua University” was adopted in 1928.  The educational philosophy of Tsinghua is to "train students with integrity." Among over 120,000 students who have graduated from Tsinghua since its founding are many outstanding scholars, eminent entrepreneurs and great statesmen remembered and respected by their fellow Chinese citizens. With the motto of “Self-Discipline and Social Commitment” and the spirit of “Actions Speak Louder than Words”, Tsinghua University is dedicated to the well-being of Chinese society and to world development.