胸部X 線画像における肺がん検出支援システムの構築と高性能化
キーワード:
neural network,
one-dimensional numeric sequence,
pre-processing,
X-ray images of lungs,
ensemble learning,
median filter
2018 年 22 巻 3 号 p. 109-120
詳細
2018 年 22 巻 3 号 p. 109-120
We construct detection systems for lung cancer in chest X-ray images with neural networks. The exact position of abnormal area in the X-ray images, namely lung cancer is determined with the result from CT images, and then, the one-dimensional numeric sequences including the abnormal area are used as a teacher signal. In order to reduce noise included in the images, the two-dimensional median filters with various sizes are used in the pre-processing unit of this system, and their sizes are optimized with a view of the performance of the system. At the same time, the ensemble learning method is applied to the detection system. As a result, we were able to construct the detection system with high performance for lung cancer in chest X-ray images.
