A Deep Learning-Based Approach for Accurate Segmentation of Bladder Wall using MR Images

Kamal Hammouda, Ayman El-Baz, Fahmi Khalifa, A. Soliman, Mohammed Ghazal, Mohamed Abou El-Ghar, A. Haddad, Mohammed Elmogy, Hanan E. Darwish, Robert Keynton. A Deep Learning-Based Approach for Accurate Segmentation of Bladder Wall using MR Images. In 2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019, Abu Dhabi, United Arab Emirates, December 9-10, 2019. pages 1-6, IEEE, 2019. [doi]

@inproceedings{HammoudaEKSGEHE19,
  title = {A Deep Learning-Based Approach for Accurate Segmentation of Bladder Wall using MR Images},
  author = {Kamal Hammouda and Ayman El-Baz and Fahmi Khalifa and A. Soliman and Mohammed Ghazal and Mohamed Abou El-Ghar and A. Haddad and Mohammed Elmogy and Hanan E. Darwish and Robert Keynton},
  year = {2019},
  doi = {10.1109/IST48021.2019.9010233},
  url = {https://doi.org/10.1109/IST48021.2019.9010233},
  researchr = {https://researchr.org/publication/HammoudaEKSGEHE19},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019, Abu Dhabi, United Arab Emirates, December 9-10, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-3868-8},
}