1. Soochow University

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    1. Mentioned In 55 Articles

    2. Reducing speckle in anterior segment optical coherence tomography images based on a convolutional neural network

      Reducing speckle in anterior segment optical coherence tomography images based on a convolutional neural network
      Speckle noise is ubiquitous in the optical coherence tomography (OCT) image of the anterior segment, which greatly affects the image quality and destroys the relevant structural information. In order to reduce the influence of speckle noise in OCT images, a denoising algorithm based on a convolutional neural network is proposed in this paper. Unlike traditional algorithms that directly obtain denoised images, the algorithm model proposed in this paper learns the ...
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    3. Group-wise context selection network for choroid segmentation in optical coherence tomography

      Group-wise context selection network for choroid segmentation in optical coherence tomography
      Choroid thickness measured from optical coherence tomography (OCT) images has emerged as a vital metric in the management of retinal diseases such as high myopia. In this paper, we propose a novel group-wise context selection network (referred to as GCS-Net) to segment the choroid of either normal or high myopia eyes. To deal with the diverse choroid thickness and the variable shape of the pathological retina, GCS-Net adopts the group-wise ...
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    4. MF-Net: Multi-Scale Information Fusion Network for CNV Segmentation in Retinal OCT Images

      MF-Net: Multi-Scale Information Fusion Network for CNV Segmentation in Retinal OCT Images
      Choroid neovascularization (CNV) is one of the blinding ophthalmologic diseases. It is mainly caused by new blood vessels growing in choroid and penetrating Bruch's membrane. Accurate segmentation of CNV is essential for ophthalmologists to analyze the condition of the patient and specify treatment plan. Although many deep learning-based methods have achieved promising results in many medical image segmentation tasks, CNV segmentation in retinal optical coherence tomography (OCT) images is ...
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    5. Joint segmentation of multi-class hyper-reflective foci in retinal optical coherence tomography images

      Joint segmentation of multi-class hyper-reflective foci in retinal optical coherence tomography images
      Hyper-reflective foci (HRF) refers to the spot-shaped, block-shaped areas with characteristics of high local contrast and high reflectivity, which is mostly observed in retinal optical coherence tomography (OCT) images of patients with fundus diseases. HRF mainly appears hard exudates (HE) and microglia (MG) clinically. Accurate segmentation of HE and MG is essential to alleviate the harm in retinal diseases. However, it is still a challenge to segment HE and MG ...
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    6. Automatic focus method using interference fringes magnitudes in retinal optical coherence tomography

      Automatic focus method using interference fringes magnitudes in retinal optical coherence tomography
      In retinal optical coherence tomography (OCT), it is significant to focus the scan beam on the retina layers of the human eye fast to acquire high-quality OCT images. The refrac- tive errors of the human eye are usually compensated by shifting the optical lens in the sample arm manually or electrically. Otherwise, refractive errors of the human eye will cause axial focal shift of the scanning beam and blur the ...
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    7. Algorithm for Detection and Quantification of Hyperreflective Dots on Optical Coherence Tomography in Diabetic Macular Edema

      Algorithm for Detection and Quantification of Hyperreflective Dots on Optical Coherence Tomography in Diabetic Macular Edema
      Purpose: To develop an algorithm to detect and quantify hyperreflective dots (HRDs) on optical coherence tomography (OCT) in patients with diabetic macular edema (DME). Materials and Methods: Twenty OCTs (each OCT contains 128 b scans) from 20 patients diagnosed with DME were included in this study. Two types of HRDs, hard exudates and small HRDs (hypothesized to be activated microglia), were identified and labeled independently by two raters. An algorithm ...
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    8. Development of a handheld compression optical coherence elastography probe with a disposable stress sensor

      Development of a handheld compression optical coherence elastography probe with a disposable stress sensor
      Optical coherence elastography (OCE) is a functional extension of optical coherence tomography (OCT). OCE measures a samples deformation under force stimuli. Compression is often used to generate the force stimuli in OCE. In this Letter, we report the development of a handheld quantitative compression OCE probe with a novel stress senor, dedicated to measuring the force. The stress sensor consists of a circular glass window and a metal ring which ...
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    9. Inspection of Intraocular Lens with Dual-side View Optical Coherence Tomography

      Inspection of Intraocular Lens with Dual-side View Optical Coherence Tomography
      Intraocular lens (IOL) is widely used for cataract treatment. Its optical properties are crucial to obtain a good treatment efficacy and thus need to be evaluated and controlled. In this study, we propose a novel method based on optical coherence tomography (OCT) for noncontact and accurate in vitro measurement of thickness, refractive index and dioptric power of IOL implants. The OCT setup is specially designed to create two sampling optics ...
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    10. Changes in circumpapillary retinal vessel density after acute primary angle closure episode via OCT angiography

      Changes in circumpapillary retinal vessel density after acute primary angle closure episode via OCT angiography
      Purpose: To investigate the changes and evaluate the diagnosis value of circumpapillary vessel density (VD) in cases of acute primary angle closure (APAC). Design: Case-control study. Methods: APAC patients with a history of unilateral acute attack were enrolled. The eyes with acute episode constituted the case group while the contralateral eyes without attack consisted of the control group. Ophthalmic examinations including slit-lamp examination, best-corrected visual acuity, intraocular pressure and visual ...
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    11. Speckle Noise Reduction for OCT Images based on Image Style Transfer and Conditional GAN

      Speckle Noise Reduction for OCT Images based on Image Style Transfer and Conditional GAN
      Raw optical coherence tomography (OCT) images typically are of low quality because speckle noise blurs retinal structures, severely compromising visual quality and degrading performances of subsequent image analysis tasks. In our previous study, we have developed a Conditional Generative Adversarial Network (cGAN) for speckle noise removal in OCT images collected by several commercial OCT scanners, which we collectively refer to as scanner T. In this paper, we improve the cGAN ...
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    12. A Joint Model for Macular Edema Analysis in Optical Coherence Tomography Images Based on Image Enhancement and Segmentation

      A Joint Model for Macular Edema Analysis in Optical Coherence Tomography Images Based on Image Enhancement and Segmentation
      Optical coherence tomography (OCT) provides the visualization of macular edema which can assist ophthalmologists in the diagnosis of ocular diseases. Macular edema is a major cause of vision loss in patients with retinal vein occlusion (RVO). However, manual delineation of macular edema is a laborious and time-consuming task. This study proposes a joint model for automatic delineation of macular edema in OCT images. This model consists of two steps: image ...
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    13. Axial and horizontal registration guided speckle suppression in single-line HD mode for retinal optical coherence tomography images

      Axial and horizontal registration guided speckle suppression in single-line HD mode for retinal optical coherence tomography images
      We propose an image registration method to suppress the speckle noise in retinal optical coherence tomography(OCT) adapted to single-line HD mode hardware implementation. In single-line HD mode, multiple cross-section images at the same straight scan line are obtained repeatedly and rapidly for averaging the speckle noise. Not like static objects, cross-section retinal images are often blurred by direct averaging due to unintentional eye/head motions in axial and horizontal ...
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    14. Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images

      Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images
      Speckle noise is the main cause of poor optical coherence tomography (OCT) image quality. Convolutional neural networks (CNNs) have shown remarkable performances for speckle noise reduction. However, speckle noise denoising still meets great challenges because the deep learning-based methods need a large amount of labeled data whose acquisition is time-consuming or expensive. Besides, many CNNs-based methods design complex structure based networks with lots of parameters to improve the denoising performance ...
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    15. Analysis of macular microvasculature and thickness after ICL implantation in patients with myopia using optical coherence tomography

      Analysis of macular microvasculature and thickness after ICL implantation in patients with myopia using optical coherence tomography
      AIM To investigate changes in macular vessels and thickness in myopic eyes after intraocular collamer lens (ICL) implantation using quantitative optical coherence tomography angiography (OCTA). METHODS This retrospective included 73 myopic eyes of 73 patients (average age, 27.536.16y) who underwent ICL implantation (28 eyes were Toric ICL). Axial length (AL), uncorrected visual acuity (UCVA), refractive dioptre (RD), intraocular pressure (IOP) and OCTA were measured and compared with before ...
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  2. About Soochow University

    Soochow University

    Soochow University is a university in Suzhou , Jiangsu , China. The School of Humanities, School of Textile and Clothing Engineering, School of Chemistry, Chemical Engineering and Materials Science, and School of Medicine are the university's most visibly distinguished schools.