ArticleInternational journal of molecular sciences2022
DeepHP: A New Gastric Mucosa Histopathology Dataset for
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Fusion of Texture Features Applied to H. pylori Infection Classification from Histopathological Images.Journal of imaging informatics in medicine · 2026Article
- A fully annotated pathology slide dataset for early gastric cancer and precancerous lesions.Scientific data · 2025Article
- Detection ofJournal of imaging · 2025Article
- Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Emerging deep learning-based applications in precision medicine include computational histopathological analysis. However, there is a lack of the required training image datasets to generate classification and detection models. This phenomenon occurs mainly due to human factors that make it difficult to obtain well-annotated data. The present study provides a curated public collection of histopathological images (DeepHP) and a convolutional neural network model for diagnosing gastritis. Images from gastric biopsy histopathological exams were used to investigate the performance of the proposed model in detecting gastric mucosa with
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Registered trials
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