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Knee Images Classification Using Transfer Learning

EasyChair Preprint no. 4588

13 pagesDate: November 18, 2020


Deep learning techniques are very common and mostly used in the last few years because it has a good ability for feature extraction. Convolution Neural Network (CNN) is a deep learning technique, which concerns with classification problems. In this work, the transfer learning technique is applied in training a CNN to classify images of knee to their respective classes. The proposed method uses the NASNet Mobile Network pre-trained Convolution Neural Network.

Keyphrases: Convolutional Neural Network, machine learning, medical image classification, Transfer Learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Kamel Rahouma and Ahmed Salama},
  title = {Knee Images Classification Using Transfer Learning},
  howpublished = {EasyChair Preprint no. 4588},

  year = {EasyChair, 2020}}
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