Table Extraction with Table Data Using VGG-19 Deep Learning Model.

In recent years, significant progress has been achieved in understanding and processing tabular data. However, existing approaches often rely on task-specific features and model architectures, posing challenges in accurately extracting table structures amidst diverse layouts, styles, and noise contamination. This study introduces a comprehensive deep learning methodology that is tailored for the precise identification and extraction of rows and columns from document images that contain tables.

Innovative Perspectives on Metal Free Contrast Agents for MRI: Enhancing Imaging Efficacy, and AI-Driven Future Diagnostics.

The U.S. Food and Drug Administration (FDA) has issued a boxed warning and mandated additional safety measures for all gadolinium-based contrast agents (GBCAs) used in clinical magnetic resonance imaging (MRI) due to their prolonged retention in the body and associated adverse health effects.

Comparison of coseismic velocity changes estimated by cross-correlation of ambient seismic noise for earthquakes in south Korea and Japan.

Ambient noise cross-correlation has been widely used to observe post-earthquake temporal velocity variations. Comparative studies are essential for assessing seismic hazards and clarifying the relationship between velocity variation and magnitude. However, very few comparative studies by earthquake magnitude have been conducted, particularly for magnitudes smaller than 6.

Efficacy of Amitriptyline in Irritable Bowel Syndrome: A Systematic Review and Meta-analysis.

Background/aims: Amitriptyline is prescribed off-label for irritable bowel syndrome (IBS). We conducted a meta-analysis to assess its efficacy.

Methods: A systematic literature review was conducted until November 10, 2023, using MEDLINE, Embase, Cochrane Library, and Web of Science to study the efficacy of amitriptyline in patients with IBS.