ArticleIEEE open journal of engineering in medicine and biology2021
Machine Learning Approach for Biopsy-Based Identification of Eosinophilic Esophagitis Reveals Importance of Global features.
Article in IEEE open journal of engineering in medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 4 citations in OpenAlex.
- Can artificial intelligence improve the diagnosis and management of patients with eosinophilic esophagitis?World journal of gastroenterology · 2025Review
- Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Application of artificial intelligence in eosinophilic esophagitis.Frontiers in immunology · 2025Review
- Comparison of histochemical methods for the analysis of eosinophils and mast cells using a porcine model of eosinophilic esophagitis.Frontiers in veterinary science · 2025Article
- Cross-Scale Guidance Integration Transformer for Instance Segmentation in Pathology Images.IEEE open journal of engineering in medicine and biology · 2025Article
- Advances in omics data for eosinophilic esophagitis: moving towards multi-omics analyses.Journal of gastroenterology · 2024Review
- An Innovative Hybrid Model for Automatic Detection of White Blood Cells in Clinical Laboratories.Diagnostics (Basel, Switzerland) · 2024Article
- Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy Diagnostics.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022Article
- Impressions and aspirations from the FDA GREAT VI Workshop on Eosinophilic Gastrointestinal Disorders Beyond Eosinophilic Esophagitis and Perspectives for Progress in the Field.The Journal of allergy and clinical immunology · 2022Article
- Harnessing artificial intelligence to infer novel spatial biomarkers for the diagnosis of eosinophilic esophagitis.Frontiers in medicine · 2022Article
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
goalEosinophilic esophagitis (EoE) is an allergic inflammatory condition characterized by eosinophil accumulation in the esophageal mucosa. EoE diagnosis includes a manual assessment of eosinophil levels in mucosal biopsies-a time-consuming, laborious task that is difficult to standardize. One of the main challenges in automating this process, like many other biopsy-based diagnostics, is detecting features that are small relative to the size of the biopsy.
resultsIn this work, we utilized hematoxylin- and eosin-stained slides from esophageal biopsies from patients with active EoE and control subjects to develop a platform based on a deep convolutional neural network (DCNN) that can classify esophageal biopsies with an accuracy of 85%, sensitivity of 82.5%, and specificity of 87%. Moreover, by combining several downscaling and cropping strategies, we show that some of the features contributing to the correct classification are global rather than specific, local features.
conclusionsWe report the ability of artificial intelligence to identify EoE using computer vision analysis of esophageal biopsy slides. Further, the DCNN features associated with EoE are based on not only local eosinophils but also global histologic changes. Our approach can be used for other conditions that rely on biopsy-based histologic diagnostics.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.