Narrative Review
Narrative reviews synthesize existing research to provide a comprehensive overview of a specific topic, aiming to identify key trends, gaps, and future research directions. Current research focuses on applying narrative reviews across diverse fields, employing various model architectures like graph neural networks, large language models, and diffusion models to analyze complex data and improve model interpretability and efficiency. This approach is crucial for advancing scientific understanding and informing the development of practical applications in areas such as medicine, engineering, and manufacturing.
Papers
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January 3, 2023
Navigating the reporting guideline environment for computational pathology: A review
Clare McGenity, Darren Treanor
Information Aided Navigation: A Review
Daniel Engelsman, Itzik Klein
Detecting Severity of Diabetic Retinopathy from Fundus Images: A Transformer Network-based Review
Tejas Karkera, Chandranath Adak, Soumi Chattopadhyay, Muhammad Saqib
December 31, 2022
December 29, 2022