11 hasil untuk "Fu-Yu Lin"
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Artikel Jurnal
Pseudotumor Cerebri Syndrome and Essential Thrombocythemia: A Case Report
ABSTRACT Pseudotumor cerebri syndrome (PTCS) is characterized by elevated intracranial pressure in the absence of intracranial mass lesions, structural abnormalities, or infectious conditions. Although the exact pathogenesis of PTCS remains largely elusive, it is increasingly recognized as a…
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Artikel Jurnal Teks lengkap
Increased risk of overactive bladder in patients with idiopathic Parkinson’s disease: Insight from a nationwide population-based cohort study
Background: Idiopathic Parkinson’s disease (IPD) is a progressive neurodegenerative disorder characterized by typical motor impairment. However, lower urinary tract symptoms, including urinary urgency or frequency, which are non-motor phenomena, occur frequently among patients with IPD. In this…
Juga tersedia di: DOAJ
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Artikel Jurnal Teks lengkap
Three-year mortality in cryptococcal meningitis: Hyperglycemia predict unfavorable outcome
Existing evidence revealed grave prognosis for cryptococcal meningitis (CM), particularly its short-term mortality. However, its long-term survival and prognostic factors remained unknown. This study investigated 3-year mortality and analyzed its predictive factors in patients with CM. This…
Juga tersedia di: DOAJ
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Artikel Jurnal
Bereitschaftspotential in Multiple System Atrophy
Objective: Multiple system atrophy (MSA) is a neurodegenerative disorder manifesting as parkinsonism, cerebellar ataxia, and autonomic dysfunction. It is categorized into MSA with predominant parkinsonism (MSA-P) and into MSA with predominant cerebellar ataxia (MSA-C). The pathophysiology of motor…
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Artikel Jurnal
Evaluation of deep learning models for segmentation of hippocampus volumes from MRI images in Alzheimer’s disease
Abstract The hippocampus is a crucial brain structure associated with Alzheimer’s disease (AD). Precise segmentation is crucial for studying AD progression using deep learning. This study aimed to evaluate the performance of deep learning models in segmenting the left and right hippocampus in MRI…
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Artikel Jurnal
Deep Learning Applications in MRI-Based Detection of the Hippocampal Region for Alzheimer’s Diagnosis
The hippocampal region is one of the most affected brain areas observed as a landmark in Magnetic Resonance Imaging (MRI) images for Alzheimer’s disease (AD) diagnosis. The diminished alterations in the hippocampal and degeneration of cholinergic circuits have been conclusively correlated with a…
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Artikel Jurnal
Diagnosis of Alzheimer’s Disease Using Convolutional Neural Network With Select Slices by Landmark on Hippocampus in MRI Images
Alzheimer’s disease (AD) is a major public health priority. Hippocampus is one of the most affected areas of the brain and is easily accessible as a biomarker using MRI images in machine learning for diagnosing AD. In machine learning, using entire MRI image slices showed lower accuracy for AD…
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Artikel Jurnal
Diameter Reduction Determined Through Carotid Ultrasound Associated With Cardiovascular and All‐Cause Mortality: A Single‐Center Experience of 38 201 Consecutive Patients in Taiwan
Background Few studies have evaluated the prognostic significance of diameter‐based carotid sonographic measurements for mortality. We investigated whether a reduction in diameter of different carotid anatomical segments is associated with cardiovascular and all‐cause mortality in a hospital‐based…
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Artikel Jurnal
An approach to the diagnosis of lumbar disc herniation using deep learning models
Background: In magnetic resonance imaging (MRI), lumbar disc herniation (LDH) detection is challenging due to the various shapes, sizes, angles, and regions associated with bulges, protrusions, extrusions, and sequestrations. Lumbar abnormalities in MRI can be detected automatically by using deep…