A Survey in Deep Convolutional Neural Networks for Diagnosis of Dieases

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Noğay H. S., Akıncı T. Ç., Önal Ş. E.

BdKCSE’xx2017 International Conference on7-8 December 2017, Sofia, Bulgaria Big Data, Knowledge and Control Systems Engineering, Sofija, Bulgaria, 7 - 08 December 2017, pp.3-11

  • Publication Type: Conference Paper / Full Text
  • City: Sofija
  • Country: Bulgaria
  • Page Numbers: pp.3-11
  • Bursa Uludag University Affiliated: No

Abstract

Abstract: Before designing a deep convolutional neural network (DCNN), it is necessary to preliminarily investigate the decisions that need to be made about design processes. When designing a DCNN for medical diagnosis, specific information about the disease itself is needed. In this study, the stages of designing a DCNN model that can be used to diagnose diseases have been investigated and information affecting decision-making processes at each stage has been identified

Keywords: Convolutional Neural Networks, Deep Learning, Artificial Intelligence