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...
Tallennettuna:
| Päätekijät: | , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer
2026-06-01
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| Sarja: | Discover Artificial Intelligence |
| Aiheet: | |
| Linkit: | https://doi.org/10.1007/s44163-026-01448-0 |
| Tagit: |
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