1. Soochow University

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    1. Mentioned In 62 Articles

    2. Accuracy and feasibility with AI-assisted OCT in retinal disorder community screening

      Explore Frontiers Ophthalmology
      Accuracy and feasibility with AI-assisted OCT in retinal disorder community screening
      Objective: To evaluate the accuracy and feasibility of the auto-detection of 15 retinal disorders with artificial intelligence (AI)-assisted optical coherence tomography (OCT) in community screening. Methods: A total of 954 eyes of 477 subjects from four local communities were enrolled in this study from September to December 2021. They received OCT scans covering an area of 12 mm 9 mm at the posterior pole retina involving the macular and ...
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      Mentions: Soochow University

    3. Retinochoroidal microvascular changes in newly developed obese children: an optical coherence tomography angiography study

      Explore BMC Ophthalmology Ophthalmology
      Retinochoroidal microvascular changes in newly developed obese children: an optical coherence tomography angiography study
      Background: Childhood obesity was associated with retinochoroidal microvascular changes using optical coherence tomography angiography (OCTA), but obesity duration was neglected. Obesity is chronic and progressive and obesity duration is related to microvascular function. Thus, it is important to identify microvascular changes in obese children timely to allow possible interventions with the increase in the number of obese children. This pilot study aimed to characterize retinochoroidal microvascular changes in newly developed ...
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      Mentions: Visionix Soochow University

    4. Application of artificial intelligence-based dual-modality analysis combining fundus photography and optical coherence tomography in diabetic retinopathy screening in a community hospital

      Explore BioMedical Engineering OnLine Ophthalmology
      Application of artificial intelligence-based dual-modality analysis combining fundus photography and optical coherence tomography in diabetic retinopathy screening in a community hospital
      Background To assess the feasibility and clinical utility of artificial intelligence (AI)-based screening for diabetic retinopathy (DR) and macular edema (ME) by combining fundus photos and optical coherence tomography (OCT) images in a community hospital. Methods Fundus photos and OCT images were taken for 600 diabetic patients in a community hospital. Ophthalmologists graded these fundus photos according to the International Clinical Diabetic Retinopathy (ICDR) Severity Scale as the ground ...
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      Mentions: Fudan University Soochow University

    5. Choroid automatic segmentation and thickness quantification on swept-source optical coherence tomography images of highly myopic patients

      Explore Home Ophthalmology
      Choroid automatic segmentation and thickness quantification on swept-source optical coherence tomography images of highly myopic patients
      Background: Thinning of the choroid has been linked with various ocular diseases, including high myopia (HM), which can lead to visual impairment. Although various artificial intelligence (AI) algorithms have been developed to quantify choroidal thickness (ChT), few patients with HM were included in their development. The choroid in patients with HM tends to be thinner than that of normal patients, making it harder to segment. Therefore, in this study, we ...
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      Mentions: Shanghai Jiao Tong University Soochow University

    6. Most nonpathological eyes present a small area of hyperreflective Henle's fiber layer on pupil-centered optical coherence tomography

      Explore Home - Springer Ophthalmology
      Most nonpathological eyes present a small area of hyperreflective Henle's fiber layer on pupil-centered optical coherence tomography
      Purpose: Henle's fiber layer (HFL) is hyporeflective and indistinct on pupil-centered optical coherence tomography (OCT). However, a small area of HFL is also found to be hyperreflective on pupil-centered OCT. This study characterized the hyperreflective HFL of healthy eyes on pupil-centered OCT and investigated the possible physiological and functional relationship of hyperreflective HFL. Methods: Subjects with different degrees of ametropia underwent a complete ophthalmologic examination, including binocular function by ...
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      Mentions: Visionix Soochow University

    7. DHNet: High-resolution and hierarchical network for cross-domain oct speckle noise reduction

      Explore aapm.onlinelibrary.wiley.com
      DHNet: High-resolution and hierarchical network for cross-domain oct speckle noise reduction
      Purpose: Optical coherence tomography (OCT) imaging uses the principle of Michelson interferometry to obtain high-resolution images by coherent superposing of multiple forward and backward scattered light waves with random phases. This process inevitably produces speckle noise that severely compromises visual quality of OCT images and degrades performances of subsequent image analysis tasks. In addition, datasets obtained by different OCT scanners have distribution shifts, making a speckle noise suppression model difficult ...
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      Mentions: Soochow University

    8. Compressive-sensing swept-source optical coherence tomography angiography with reduced noise

      Explore Wiley Online Library
      Compressive-sensing swept-source optical coherence tomography angiography with reduced noise
      Optical coherence tomography angiography (OCTA), as a functional extension of optical coherence tomography (OCT), has exhibited a great potential to aid in clinical diagnostics. Currently, OCTA still suffers from motion artifact and noise. Therefore, in this paper, we propose to implement compressive sensing (CS) on B-scans to reduce motion artifact by increasing B-scan rate. Meanwhile, a noise-reduction filter is specially designed by combining CS, Gaussian filter, and Median filter. Specially ...
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      Mentions: Soochow University

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

      Explore OSA | OSA Publishing Ophthalmology
      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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      Mentions: Soochow University

    11. Group-wise context selection network for choroid segmentation in optical coherence tomography

      Explore IOPscience Ophthalmology
      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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      Mentions: Soochow University

    12. MF-Net: Multi-Scale Information Fusion Network for CNV Segmentation in Retinal OCT Images

      Explore Frontiers Ophthalmology
      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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      Mentions: Soochow University

    13. Joint segmentation of multi-class hyper-reflective foci in retinal optical coherence tomography images

      Explore IEEE Xplore Ophthalmology
      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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      Mentions: Soochow University

    14. Automatic focus method using interference fringes magnitudes in retinal optical coherence tomography

      Explore SPIE Digital Library Ophthalmology
      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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      Mentions: Soochow University

    15. Algorithm for Detection and Quantification of Hyperreflective Dots on Optical Coherence Tomography in Diabetic Macular Edema

      Explore Frontiers Ophthalmology
      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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      Mentions: The Chinese University of Hong Kong Soochow University

    16. Development of a handheld compression optical coherence elastography probe with a disposable stress sensor

      Explore OSA | OSA Publishing
      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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      Mentions: Soochow University
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  4. 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.

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