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Applied Computational Intelligence and Soft Computing
Volume 2017, Article ID 3048181, 9 pages
Research Article

Sliding Window Based Machine Learning System for the Left Ventricle Localization in MR Cardiac Images

Department of Biomedical Engineering, Near East University, Near East Boulevard, 99138 Nicosia, Northern Cyprus, Mersin 10, Turkey

Correspondence should be addressed to Abdulkader Helwan; moc.liamg@09nawleh.redakludba

Received 9 March 2017; Revised 12 April 2017; Accepted 30 April 2017; Published 4 June 2017

Academic Editor: Mourad Zaied

Copyright © 2017 Abdulkader Helwan and Dilber Uzun Ozsahin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Abdulkader Helwan, Georges El-Fakhri, Hadi Sasani, and Dilber Uzun Ozsahin, “Deep networks in identifying CT brain hemorrhage,” Journal of Intelligent & Fuzzy Systems, pp. 1–1, 2018. View at Publisher · View at Google Scholar
  • Esam Al Shareef, and Dilber Uzun Ozsahin, “Deep Parkinson Disease Diagnosis: Stacked Auto-encoder,” 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018, vol. 896, pp. 577–585, 2018. View at Publisher · View at Google Scholar
  • Amin Alqudah, and Ali Mohammad Alqudah, “Sliding Window Based Support Vector Machine System for Classification of Breast Cancer Using Histopathological Microscopic Images,” IETE Journal of Research, pp. 1–9, 2019. View at Publisher · View at Google Scholar