Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture

Laith Alzubaidi, Reem Ibrahim Hasan, Fouad H. Awad, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang. Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture. In 12th International Conference on Developments in eSystems Engineering, DeSE 2019, Kazan, Russia, October 7-10, 2019. pages 268-273, IEEE, 2019. [doi]

@inproceedings{AlzubaidiHAFAZ19,
  title = {Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture},
  author = {Laith Alzubaidi and Reem Ibrahim Hasan and Fouad H. Awad and Mohammed A. Fadhel and Omran Al-Shamma and Jinglan Zhang},
  year = {2019},
  doi = {10.1109/DeSE.2019.00057},
  url = {https://doi.org/10.1109/DeSE.2019.00057},
  researchr = {https://researchr.org/publication/AlzubaidiHAFAZ19},
  cites = {0},
  citedby = {0},
  pages = {268-273},
  booktitle = {12th International Conference on Developments in eSystems Engineering, DeSE 2019, Kazan, Russia, October 7-10, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-3021-7},
}