Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review
<div><p>Background: Non-alcoholic Fatty Liver Disease (NAFLD) is growing more prevalent worldwide. Although non-invasive diagnostic approaches such as conventional ultrasonography and clinical scoring systems have been proposed as alternatives to liver biopsy, their efficacy has been cal...
محفوظ في:
| المؤلف الرئيسي: | Fahad Muflih Alshagathrh (18427950) (author) |
|---|---|
| مؤلفون آخرون: | Mowafa Said Househ (18427953) (author) |
| منشور في: |
2022
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
AI-Based Multiclass Grading of Hepatic Steatosis From B-Mode Ultrasound: Generalization Across Modalities and Clinical Comparison With Radiologists
حسب: Fahad Muflih Alshagathrh (18427950)
منشور في: (2025) -
Efficient Detection of Hepatic Steatosis in Ultrasound Images Using Convolutional Neural Networks: A Comparative Study
حسب: Fahad M. Alshagathrh (19365478)
منشور في: (2023) -
Exendin-4 alleviates steatosis in an in vitro cell model by lowering FABP1 and FOXA1 expression via the Wnt/-catenin signaling pathway
حسب: Olfa Khalifa (10914452)
منشور في: (2022) -
Using artificial intelligence to improve body iron quantification: A scoping review
حسب: Abdulqadir J. Nashwan (11659453)
منشور في: (2023) -
Efficacy and safety of aldafermin in non-alcoholic steatohepatitis: A systematic review and meta-analysis of randomized controlled trials
حسب: Mohamed Mahmoud Marey (18560902)
منشور في: (2024)