Effect of an Augmentation on CNNs in Classifying a Cirrhosis Liver on B-Mode Ultrasound Images
Yoshihiro Mitani, Robert Bob Fisher, Yusuke Fujita, Yoshihiko Hamamoto, Isao Sakaida · 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech) · 2020
We investigate the effect of a region of interest(ROI) image augmentation on a convolution neural networks(CNN) in classifying a cirrhosis liver on B-mode ultrasound images. The experimental results show the effectiveness of the ROI image augmentation by a perspective transformation.