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Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT

  • Published:2019 Issue: Volume:7 Page:92355-92364
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Patel AjayORCID,van de Leemput Sil. C.ORCID,Prokop Mathias,Van Ginneken Bram,Manniesing Rashindra

Funder

Stichting voor de Technische Wetenschappen

Toshiba Medical Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 52 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. A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection;Engineering Applications of Artificial Intelligence;2024-07

2. A Novel Segmentation Approach Utilizing Object Detection Techniques as Prompts for a Zero-Shot System in Hemorrhagic Stroke Segmentation in CT Images;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26

3. A New Deep Learning Framework for Accurate Intracranial Brain Hemorrhage Detection and Classification Using Real-Time Collected NCCT Images;Applied Magnetic Resonance;2024-06

4. Stroke detection in the brain using MRI and deep learning models;Multimedia Tools and Applications;2024-05-15

5. Deep Learning Approach to Predict Intracerebral Hemorrhage and Grad-Cam Visualization on CT Images;2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI);2024-04-17
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