6 citations · 31 across the 19 of their papers we have counts for
3 papers · 1 filter
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose +2
Medical images can be decomposed into normal and abnormal features, which is considered as the compositionality. Based on this idea, we propose an encoder-decoder network to decomp…
Meta Approach to Data Augmentation Optimization
Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe +1
Data augmentation policies drastically improve the performance of image recognition tasks, especially when the policies are optimized for the target data and tasks. In this paper,…
Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose +7
In real-world clinical practice, overlooking unanticipated findings can result in serious consequences. However, supervised learning, which is the foundation for the current succes…