Simple net: Convolutional neural network to perform differential diagnosis of ampullary tumors

  title={Simple net: Convolutional neural network to perform differential diagnosis of ampullary tumors},
  author={Jae Duk Seo and Dong Wan Seo and Javad Alirezaie},
  journal={2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME)},
  • J. D. Seo, D. Seo, J. Alirezaie
  • Published 28 March 2018
  • Computer Science
  • 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME)
Diagnosing different stages of cancer has only been performed by doctors due to the complexity of the task. However recent advancements made in the field of deep learning has pushed the capabilities of what an algorithm can achieve. In this study, we have trained a convolutional neural network to perform differential diagnosis of Ampullary tumors. Our proposed network is only made out of seven layers. However, when compared with other state of the art classification networks such as VGG 16, VGG… 
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