1. Nanjing University of Science and Technology

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    1. Mentioned In 69 Articles

    2. Automated detection and classification of counterfeit banknotes using quantitative features captured by spectral-domain optical coherence tomography

      Automated detection and classification of counterfeit banknotes using quantitative features captured by spectral-domain optical coherence tomography
      Counterfeiting of banknotes is still a severe crime problem in many countries. One of the most significant issue for solving the crime is to classify the counterfeit types and identify the sources. Most of the current methods to classify counterfeit banknotes rely on manual examination that is time-consuming and labor-intensive. Moreover, these methods only detect surface features which can be easily imitated through advanced printing technology. In this study, an ...
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    3. Fourier spatial transform-based method of suppressing motion noises in OCTA

      Fourier spatial transform-based method of suppressing motion noises in OCTA
      A large amount of lateral noise will be generated in blood flow imaging with optical coherence tomography angiography (OCTA) due to the presence of muscle shaking, heartbeat, and respiration, resulting in the deterioration of images. In this paper, to the best of our knowledge, for the first time, the spatial frequency information of motion noise in the blood flow signal region is used to remove the motion noise and false ...
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    4. Analysis of retinal microvasculature features in amblyopic eyes: A meta-analysis

      Analysis of retinal microvasculature features in amblyopic eyes: A meta-analysis
      Purpose: This meta-analysis aimed to evaluate retinal vessel density (VD) in amblyopic patients using optical coherence tomography angiography (OCTA). Methods: PubMed, Web of Science, Embase, and Cochrane Library databases were systematically searched for published articles comparing retinal microvasculature characteristics in patients with amblyopia and controls. Continuous variable outcomes were assessed using the mean difference (MD) with a 95% confidence interval. Review Manager Version 5.30 was used for the analysis ...
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    5. Self-Supervised Sequence Recovery for Semi-Supervised Retinal Layer Segmentation

      Self-Supervised Sequence Recovery for Semi-Supervised Retinal Layer Segmentation
      Automated layer segmentation plays an important role for retinal disease diagnosis in optical coherence tomography (OCT) images. However, the severe retinal diseases result in the performance degeneration of automated layer segmentation approaches. In this paper, we present a robust semi-supervised retinal layer segmentation network to relieve the model failures on abnormal retinas, in which we obtain the lesion features from the labeled images with disease-balanced distribution, and utilize the unlabeled ...
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    6. Ultrathin lensed fiber based anastigmatic needle probe for endoscopic swept source optical coherence tomography

      Ultrathin lensed fiber based anastigmatic needle probe for endoscopic swept source optical coherence tomography
      We present an anastigmatic all-fiber needle probe utilizing a fiber ball lens for endoscopic swept source optical coherence tomography (OCT). In order to avoid the astigmatism caused by the cylindrical profile of the imaging fiber or the outer protective tube, the lensed fiber probe is directly packaged into a 26-gauge hypodermic needle with a side opening optical window. A total internal reflection surface is fabricated on the tip of the ...
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    7. Identification of Symptomatic Carotid Artery Plaque: A Three-Item Scale Combined Angiography With Optical Coherence Tomography

      Identification of Symptomatic Carotid Artery Plaque: A Three-Item Scale Combined Angiography With Optical Coherence Tomography
      Introduction: Symptomatic carotid disease conveys a high risk of recurrent stroke. Plaque morphology and specific plaque characteristics are associated with the risk of stroke. This study aimed to evaluate the detailed plaque features by optical coherence tomography (OCT) and develop a simple scale combining clinical indicators, digital subtraction angiography (DSA), and OCT imaging markers to identify symptomatic carotid plaque. Methods: Carotid plaques from consecutive patients who underwent carotid OCT imaging ...
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    8. Predicting Post-Therapeutic Visual Acuity and OCT Images in Patients With Central Serous Chorioretinopathy by Artificial Intelligence

      Predicting Post-Therapeutic Visual Acuity and OCT Images in Patients With Central Serous Chorioretinopathy by Artificial Intelligence
      To predict visual acuity (VA) and post-therapeutic optical coherence tomography (OCT) images 1, 3, and 6 months after laser treatment in patients with central serous chorioretinopathy (CSC) by artificial intelligence (AI). Real-world clinical and imaging data were collected at Zhongshan Ophthalmic Center (ZOC) and Xiamen Eye Center (XEC). The data obtained from ZOC (416 eyes of 401 patients) were used as the training set; the data obtained from XEC (64 ...
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    9. Total venous nature of retinal deep capillary plexus inferred by continuity of prominent middle limiting membrane sign in optical coherence tomography

      Total venous nature of retinal deep capillary plexus inferred by continuity of prominent middle limiting membrane sign in optical coherence tomography
      This study aimed to theoretically identify the vascular nature of the deep capillary plexus (DCP) by examining patients presenting with both paracentral acute middle maculopathy (PAMM) and prominent middle limiting membrane (p-MLM) sign and p-MLM sign alone in spectral-domain optical coherence tomography (SD-OCT). A retrospective review of the medical records of patients with retinal vein or artery occlusion from two tertiary medical centers was performed. Consecutive patients with a clinical ...
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    10. Effects of orientation deviation of a beam splitter and a reference mirror on the stability of a two-interferometer-based handheld FFOCT imaging probe

      Effects of orientation deviation of a beam splitter and a reference mirror on the stability of a two-interferometer-based handheld FFOCT imaging probe
      In this work, we present a handheld full-field optical coherence tomography (FFOCT) system based on a series connection of two interferometers: the Michelson interferometer is used as a compensation part and the Fizeau interferometer is used as a detection part. Owing to the common-path arrangement of the Fizeau interferometer, this handheld FFOCT system has a compact detection arm and is insensitive to the external disturbance. A high-output halogen lamp and ...
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    11. RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network

      RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network
      Age-related macular degeneration (AMD) is one of the leading causes of irreversible blindness and is characterized by fluid-related accumulations such as intra-retinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED). Spectral-domain optical coherence tomography (SD-OCT) is the primary modality used to diagnose AMD, yet it does not have algorithms that directly detect and quantify the fluid. This work presents an improved convolutional neural network (CNN)-based architecture called ...
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    12. Differentiation of breast tissue types for surgical margin assessment using machine learning and polarization-sensitive optical coherence tomography

      Differentiation of breast tissue types for surgical margin assessment using machine learning and polarization-sensitive optical coherence tomography
      We report an automated differentiation model for classifying malignant tumor, fibro-adipose, and stroma in human breast tissues based on polarization-sensitive optical coherence tomography (PS-OCT). A total of 720 PS-OCT images from 72 sites of 41 patients with HE histology-confirmed diagnoses as the gold standard were employed in this study. The differentiation model is trained by the features extracted from both one standard OCT-based metric (i.e., intensity) and four PS-OCT-based ...
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    13. Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach

      Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach
      Spectral-domain optical coherence tomography (SD-OCT) images inevitably suffer from multiplicative speckle noise caused by random interference. This study proposes an unsupervised domain adaptation approach for noise reduction by translating the SD-OCT to the corresponding high-quality enhanced depth imaging (EDI)-OCT. We propose a structure-persevered cycle-consistent generative adversarial network for unpaired image-to-image translation, which can be applied to imbalanced unpaired data, and can effectively preserve retinal details based on a structure-specific ...
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    14. CT texture analysis of vulnerable plaques on optical coherence tomography

      CT texture analysis of vulnerable plaques on optical coherence tomography
      Purpose: To explore whether CT texture analysis can identify thin-cap fibroatheroma (TCFA) determined by optical coherence tomography (OCT). Methods: Thirty-three patients with 43 lesions who underwent both CCTA and OCT within 3 months were retrospectively included. 12 conventional CT-derived plaque features, fat attenuation index (FAI) and 1691 plaque radiomics features were extracted to discriminate TCFA lesions and non-TCFA lesions determined by OCT. Minimum redundancy and maximum relevance (mRMR) method was ...
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    15. An optimized segmentation and quantification approach in microvascular imaging for OCTA-based neovascular regression monitoring

      An optimized segmentation and quantification approach in microvascular imaging for OCTA-based neovascular regression monitoring
      Background: Quantification of neovascularization changes in terms of neovascular complex (NVC) acquired from the optical coherence tomography angiography (OCTA) imaging is extremely important for diagnosis and treatment monitoring of proliferative diabetic retinopathy (PDR). However, only few vessel extraction methods have so far been reported to quantify neovascular changes in NVC with proliferative diabetic retinopathy PDR based on OCTA images. Methods: Here we propose an optimized approach to segment blood vessels ...
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  2. About Nanjing University of Science and Technology

    Nanjing University of Science and Technology

    Nanjing University of Science and Technology (NUST) is one of the national key universities under the guidance of the Ministry of Industry and Information Technology. The university has more than sixty years' experience in providing inspiring and broadened-horizon education. It has become a multi-disciplinary university comprising academic fields including: science, engineering, liberal arts, economics, business, management, law and education. In addition, NUST encompasses a wide array of centers, institutes, programs, and administrative support offices.