1. Articles from Jun Kong

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    1. Sensitivity and Specificity of Potential Diagnostic Features Detected Using Fundus Photography, Optical Coherence Tomography, and Fluorescein Angiography for Polypoidal Choroidal Vasculopathy

      Sensitivity and Specificity of Potential Diagnostic Features Detected Using Fundus Photography, Optical Coherence Tomography, and Fluorescein Angiography for Polypoidal Choroidal Vasculopathy

      Importance The use of indocyanine green angiography (ICGA) is a criterion standard for diagnosing polypoidal choroidal vasculopathy (PCV), an endemic and common cause of vision loss in Asian and African individuals that also presents in white individuals. However, the use of ICGA is expensive, invasive, and not always available at clinical centers. Therefore, knowing the value of certain features detected using fundus photography (FP), optical coherence tomography (OCT), and fluorescein angiography (FA) to diagnose PCV without ICGA could assist ophthalmologists to identify PCV when ICGA is not readily available. Objective To explore the sensitivity, specificity, and predictive accuracy of potential ...

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    2. A Study of Computer Vision and Pattern Recognition in Medical Image Analysis: Digital Microscopy and Optical Coherent Tomography (Thesis)

      A Study of Computer Vision and Pattern Recognition in Medical Image Analysis: Digital Microscopy and Optical Coherent Tomography (Thesis)
      Computer vision and pattern recognition techniques have been fostered to solve many practical problems of diverse areas. Medical image analysis using machine vision and learning intelligence is one of the most sought-after fields. Computer vision addresses problems of the use of computers to detect, partition, represent, group, track, and interpret crucial primitives from given visual inputs. By contrast, pattern recognition is the study of distinguishing and recognizing different patterns represented with quantitative measurements. As a result, both of these two components usually present themselves in medical image analysis research work. In this dissertation, two parts of new theoretical work and ...
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    A Study of Computer Vision and Pattern Recognition in Medical Image Analysis: Digital Microscopy and Optical Coherent Tomography (Thesis) Sensitivity and Specificity of Potential Diagnostic Features Detected Using Fundus Photography, Optical Coherence Tomography, and Fluorescein Angiography for Polypoidal Choroidal Vasculopathy AI-Assisted In Situ Detection of Human Glioma Infiltration Using a Novel Computational Method for Optical Coherence Tomography Motorized capsule for shadow-free OCT imaging and synchronous beam control Notal Vision Diagnostic Clinic reports completion of 6 million ForeseeHome AMD home-monitoring tests Monitoring retinal responses to acute intraocular pressure elevation in rats with visible light optical coherence tomography Optical Coherence Tomography-Angiography of Different Choroidal Neovascularization Subtypes in Wet Age-related Macular Degeneration Optical Coherence Tomography Angiography of Macula in Chronic Anterior Ischaemic Optic Neuropathy Associated with Giant Cell Arteritis Impact of late stent malapposition after drug-eluting stent implantation on long-term clinical outcomes Vascular Responses After Percutaneous Coronary Intervention With Stenting In Patients With Obstructive Sleep Apnea Optical coherence tomography angiography findings in preeclampsia Image contrast correction method in full-field optical coherence tomography