A novel trigonometric subpopulation and sine cosine range optimization framework to classify Helicobacter pylori infection in a south Indian cross-sectional study

Abstract Helicobacter pylori (H. pylori) Infection is considered a major cause of gastrointestinal illnesses like peptic ulcer and gastric cancer. Early diagnosis of H. pylori infection will reduce the risk of disease progression. The convolutional neural network (CNN) model, when combined with the...

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主要な著者:	Jovita Relasha Lewis, Sameena Pathan, Preetham Kumar, Cifha Crecil Dias, Balaji Musunuri
フォーマット:	Artigo
言語:	Inglês
出版事項:	Springer 2026-06-01
シリーズ:	Discover Artificial Intelligence
主題:	H. pylori India Cancer Developing countries Optimization CNN
オンライン･アクセス:	https://doi.org/10.1007/s44163-026-01448-0
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