Medical Imaging Technology
Online ISSN : 2185-3193
Print ISSN : 0288-450X
ISSN-L : 0288-450X
Main Topic/Guidance of Deep Learning for Medical Image Processing
Implementation of Deep Learning using Keras
Masahiro ODA
Author information
JOURNAL FREE ACCESS

2018 Volume 36 Issue 2 Pages 47-51

Details
Abstract
Keras is a neural network calculation library for Python environment. It enables implementation of deep learning related methods by relatively simple codes. Keras enables implementation of various methods from simple to state-of-the-art methods, such as methods proposed in the MICCAI conference. Also, it accelerates research and development on methods, which is important point for deep learning researches. Keras is quite useful library for research propose. This paper introduces how to implement an image classification program using convolutional neural network on Keras.
Content from these authors
© 2018 The Japanese Society of Medical Imaging Technology
Previous article Next article
feedback
Top