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Keratoconus Detection Using the Fusion Features of Anterior and Lateral Segment Photographed Images

  • Published:2020 Issue: Volume:8 Page:142282-142294
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Daud Marizuana M.,Zaki W. Mimi Diyana W.ORCID,Hussain AiniORCID,Mutalib Haliza Abdul

Funder

Research University Grant from Universiti Kebangsaan Malaysia

Ministry of Higher Education, Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 13 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. Advancements in Lossless and Reversible Compression of Digital Pathology Images via Auto-Recursive Set Partitioning in Hierarchical Trees and Wavelet Decomposition;Traitement du Signal;2023-12-30

2. Toward Keratoconus Diagnosis: Dataset Creation and AI Network Examination;2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM);2023-12-19

3. AI-Driven Keratoconus Detection: Integrating Medical Insights for Enhanced Diagnosis;2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM);2023-12-19

4. Cataract Detection using Pupil Patch Classification and Ruled-based System in Anterior Segment Photographed Images;2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE);2023-05-20

5. A Review for Detecting Keratoconus Using Different Techniques;Advances in Data-Driven Computing and Intelligent Systems;2023
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