A New Approach for Detecting Eosinophils in the Gastrointestinal Tract and Diagnosing Eosinophilic Colitis
Author:
Publisher
Zarqa University
Subject
General Computer Science
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Eosinophil count in cecal biopsies using artificial intelligence‐based machine learning;Medicine Advances;2024-06
2. Eosinophils instance object segmentation on whole slide imaging using multi-label circle representation;Medical Imaging 2024: Digital and Computational Pathology;2024-04-03
3. Distributed Spatial Transformer for Object Tracking in Multi-Camera;2023 25th International Conference on Advanced Communication Technology (ICACT);2023-02-19
4. Colitis detection in the gastrointestinal tract based on deep learning and machine learning;2ND INTERNATIONAL CONFERENCE OF MATHEMATICS, APPLIED SCIENCES, INFORMATION AND COMMUNICATION TECHNOLOGY;2023
5. Machine Learning Models for Statistical Analysis;The International Arab Journal of Information Technology;2023
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