• Corpus ID: 238743949

MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks

@article{Alzubaidi2021MedNetPC,
  title={MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks},
  author={Laith Alzubaidi and J. Santamar'ia and Mohamed Manoufali and Beadaa J. Mohammed and Mohammed Abdulraheem Fadhel and Jinglan Zhang and Ali H. Al-Timemy and Omran Al-Shamma and Ye Duan},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.06512}
}
In the last few years, deep learning (DL) methods have dramatically improved the state-of-the-art in visual object recognition, speech recognition, and object detection, among many other applications. Specifically, DL requires a large amount of training data to provide quality outcomes. However, the field of medical imaging suffers from the lack of sufficient data for properly training DL models because medical images require manual labelling carried out by clinical experts thus the process is… 

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