Studies from Amrita Vishwa Vidyapeetham Yield New Information about Helicobacter pylori (Boostednet: a Decision Support Model for the Diagnosis of Helicobacter Pylori From Gastric Histopathology Images).

A recent study conducted at Amrita Vishwa Vidyapeetham in India introduced a novel diagnostic model called BoostedNet for identifying Helicobacter pylori from gastric histopathology images. The model, which combines a 6-layer CNN with an Extreme Gradient Boost algorithm, achieved a remarkable 99% accuracy in classifying H. pylori-positive and negative images. This research highlights the potential of computerized frameworks to assist pathologists in accurately diagnosing gastric diseases caused by H. pylori. [Extracted from the article]