内容紹介
近年、深層学習(Deep Learning、以下ディープラーニング)、特に畳み込みニューラルネットワーク(Convolutional Neural Network:CNN)は、急速に医用画像を解析するための選択方法となっている。本稿では、医療分野におけるディープラーニングのユースケースと最新の研究を紹介した。また、医用画像解析におけるディープラーニングの応用として、Neural Network ConsoleとKerasソフトウェアの環境構築について簡単に紹介した。
Recently, deep learning algorithms, particularly convolution neural network, have rapidly become a method of choice for medical image analysis.
In this paper, I introduced some examples and the latest studies of deep learning in medical field. Moreover, I also introduced a brief overview of applications of deep learning in medical image analysis, Neural Network Console (Deep learning Training System) and Keras (Deep Learning Training system) softwares.
目次
Recently, deep learning algorithms, particularly convolution neural network, have rapidly become a method of choice for medical image analysis.
In this paper, I introduced some examples and the latest studies of deep learning in medical field. Moreover, I also introduced a brief overview of applications of deep learning in medical image analysis, Neural Network Console (Deep learning Training System) and Keras (Deep Learning Training system) softwares.